Conditions: COVID-19
Keywords: Acute Lung Injury Hypoxia Acute Respiratory Distress Syndrome Corona virus COVID-19 SARS (Severe Acute Respiratory Syndrome) Systemic Cytokine release Syndrome
Allocation: RANDOMIZED | Intervention model: FACTORIAL
Enrollment: 342
Healthy volunteers: no

Brief summary:
The purpose of this study is to test the safety and effectiveness of individually or simultaneously blocking IL-6 and IL-1 versus standard of care on blood oxygenation and systemic cytokine release syndrome in patients with COVID-19 coronavirus infection and acute hypoxic respiratory failure and systemic cytokine release syndrome

Detailed description:
There are currently no treatments directed at halting the cytokine storm and acute lung injury to stop the progression from manageable hypoxia to frank respiratory failure and ARDS in patients with COVID-19 infection. Preventing progression from early acute hypoxia and cytokine release syndrome to frank hypoxic respiratory failure and ARDS could have a huge impact on the foreseeable overflow of the ICU units. In ventilated patients, preventing the onset of ARDS, or shortening ICU stay could also be crucial in this regard.

The clinical status after 15 days treatment is evaluated to measure the effectiveness of tocilizumab, tocilizumab and anakinra, siltuximab, siltuximab and anakinra and anakinra on restoring lung homeostasis,using single IV injection (siltuximab or tocilizumab) combined or not with daily subcutaneous injections of anakinra until 28 days or hospital discharge, whichever is first. During the treatment period, daily clinical assesments of severity, daily laboratory check-up, measurements of oxygen saturation (pulse oximetry) in relation to FiO2, regular arterial blood gas measurements, regular chest X-rays, chest CT scans on indication will be performed.

Arms:
arm 1: None arm 2: None arm 3: None arm 4: None arm 5: None arm 6: None

Interventions: intervention 1: Usual Care intervention 2: Anakinra intervention 3: Siltuximab intervention 4: Tocilizumab
Intervention descriptions: intervention 1: Usual Care intervention 2: Anakinra will be given as a daily subcutaneous injection of 100 mg for 28 days or until hospital discharge, whichever is first intervention 3: Siltuximab will be given via single IV infusion at a dose of 11 mg/kg intervention 4: Tocilizumab will be given via single IV infusion at a dose of 8 mg/kg with a maximum infusion of 800 mg/injection

Protocol document:
Prot_000.pdf: 
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A prospective, randomized, factorial design, interventional study 
to compare the safety and efficacy of combinations of blockade 
of interleukin-6 pathway and interleukin-1 pathway to best 
standard of care in improving oxygenation and short- and long-
term outcome of COVID-19 patients with acute hypoxic 
respiratory failure and systemic cytokine release syndrome. 
 
 
 
Acronym / Protocol code 
COV-AID: 
Treatment 
of 
COVID-19 
patients with anti-interleukin drugs 
Protocol version and date 
 
 
 
Version 5.0 03 Nov 2020  
Phase  
 
 
 
 
 
Phase III 
EudraCT n° 
 
 
 
 
 
2020-001500-41 
Sponsor 
 
 
 
 
 
University Hospital Ghent,  
 
 
 
 
 
 
 
C. Heymanslaan 10 
 
 
 
 
 
 
 
9000 Ghent 
 
 
 
 
 
 
 
Belgium 
 
Financial/Material Support: 
Belgian healthcare knowledge centre 
(KCE) Brussels 
 
Coordinating Investigator: 
 
 
 
UZ Gent 
Bart N. Lambrecht, MD, PhD 
Department of Internal Medicine & Pediatrics, 
Department of Respiratory Medicine 
 
 
 
 
 
 
 
University Hospital Ghent 
 
 
 
 
 
 
 
Corneel Heymanslaan 10 
 
 
 
 
 
 
 
9000 Ghent, Belgium 
 
 
 
 
 
 
 
+32/93329110  
 
Co-investigators:  
 
 
 
 
Multicentric trial in Belgium 
 
 
 
 
 
 
 
 
 
 
 
Gauthier Bouche, Catherine Legrand, Marc Buyse, Jillian Harrison, Nelle Stocquart, Hilde Nevens, 
Catherine Van Der Straeten and Frank Hulstaert contributed significantly.  
 
 


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A prospective, randomized, factorial design, interventional study 
to compare the safety and efficacy of combinations of blockade 
of interleukin-6 pathway and interleukin-1 pathway to best 
standard of care in improving oxygenation and short- and long-
term outcome of COVID-19 patients with acute hypoxic 
respiratory failure and systemic cytokine release syndrome. 
 
 
 
Protocol Co-ordinating Investigator signature page 
 
 
 
 
I certify that I will conduct the study in compliance with the protocol, any amendments, GCP 
and the declaration of Helsinki, and all applicable regulatory requirements. 
 
 
Investigator: 
 
 
Name: Prof. Dr. B. Lambrecht 
 
 
Function: Pulmonologist 
 
 
Institution: UZ Ghent 
 
 
 
Date:  
 
 
 
 
 
Signature: 
 


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A prospective, randomized, factorial design, interventional study 
to compare the safety and efficacy of combinations of blockade 
of interleukin-6 pathway, and interleukin-1 pathway to best 
standard of care in improving oxygenation and short- and long-
term outcome of COVID-19 patients with acute hypoxic 
respiratory failure and systemic cytokine release syndrome. 
 
 
 
Protocol Site Principal Investigator signature page 
 
 
 
 
I certify that I will conduct the study in compliance with the protocol, any amendments, GCP 
and the declaration of Helsinki, and all applicable regulatory requirements. 
 
 
Investigator: 
 
 
Name:  
 
 
Function:  
 
 
Institution:  
 
 
 
Date:  
 
 
 
 
 
Signature: 
 


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Protocol Amendment History: 
 
 
 
Version 
Number 
Date 
Description of amendment 
1.2 
06APR2020 
section 7.1.3  SYLVANT ®,  
Will be given via single IV infusion at a dose of 11 mg 
/ kg given over 1 hour as an intravenous infusion in 
glucose 50%  5% due to typo error 
2.0 
06APR2020 
Section 5.1 :  
Recent (≤14 days of) of flu-like symptoms or malaise 
prior to randomization) infection with COVID-19  
changed to ≤16 days  
 
 
section 5.2 : frailty score  
exclusion criteria:  clinical frailty score >2  changed 
to clinical frailty score > 3 
Section 5.1 , inclusion criteria: clinical frailty score 
deleted 
 
 
section 5.1 : COVID-19 diagnosis:  
serology and emerging technologies added as 
diagnostic test 
 
 
Section 5.1 :  COVID-19 diagnosis 
Probable COVID-19 infection defined by chest CT-
scan and clinical criteria added 
2.1 
10APR2020 
Section 8.2 : EDTA 
Two  four tubes of EDTA tube (10 ml)  
Error, correct in schematic overview and sampling 
3.0 
15APR2020 
Section 5.1 : IC1 
Confident COVID diagnosis … 
 
 
Section 5.1: IC 4 clarification FiO2 
 
 
Section 5.1:   added extra IC 
Female subject need to use adequate contraception 
during treatment and 3 months after treatment 
 
 
Section 7.1.3 : Roactemra sc to IV clarification 
 
 
Section 8.4 : schematic overview 
Procalcitonin explicit added in overview 
 
 
Section 12.6  data safety monitoring board will be 
foreseen 
 
 
Section 7.1.3   Dose justification added 
4.0 
09JUN2020 
Section 3.2: ARDS definition changed to “adjusted 
Berlin criteria”. 
 
 
Section 5.1: typo corrected 


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Section 5.2: Clarification Frailty score added: clinical 
frailty scale above 3 (This frailty score is the patient 
status before first symptoms of COVID-19 episode.) 
 
 
Section 5.2: Exclusion criteria added: 
Patient on ECMO at time of screening 
 
 
Section 7.1.4: Dose adjustment permitted for 
KINERET if kidney function falls below 30ml/min GFR. 
Dosing to be adjusted to 100 mg once every other 
day (q2d) 
 
 
Section 8.4: lay-out of flowchart simplified. 
Assessments removed: 
- 
Clinical Sign Score and NEWS2 
- 
HScore only at D1 
- 
Daily anamnesis and physical examination 
not requested anymore, only per standard of 
care or on clinical grounds. 
- 
Arterial Blood Gas only required at D0/1, D6, 
D15 or discharge whichever comes first 
- 
Laboratory 
assessments: 
ESR, 
ureum, 
troponins, 
CK 
removed. 
Procalcitonine 
required at least 3x/week. 
 
 
Section 9.3:  1500 RPM or 410 g adjusted to  1770g 
 
 
Section 12.3: Contact details 
Marketing Authorisation Holder, SOBI, ROCHE, 
EUSAPHARMA: removed 
 
 
Section 12.4: Study team informs company that 
provides IMP was erased 
5.0 
03 NOV 2020 
Section 8.4: schematic overview error corrected and 
column “Discharge (only if after D15)” removed. 
 
 
Section 3.2: PEEP > 5 cm H20 on invasive or non-
invasive ventilation or flow ≥ 50L/min on HFOT 
(Optiflow)  
(Typo “≥ 60L/min” corrected to “≥ 50L/min.) 
 
 
Section 8.2 and section 8.4: If an arterial blood gas 
value is available of less than 24 hours before 
randomization, there’s no need to have a new ABG 
done on Day 0/1. 
 
 
Section 8.4: time window of assessment of vital 
signs (6-10 AM) is not applicable for the follow-up 
visit. 
 
 
Section 7.1.4 : In case kidney function falls below 
30ml/min GFR, dosing of KINERET® needs to be 
adjusted to 100mg every other day (q2d).  


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section 7.1.3: Sylvant® (Siltuximab) 100mg powder 
concentrate added 
 
 
Section 2: Secondary objectives are refined into: 
secondary objectives related to the primary 
endpoint, exploratory objectives related to the 
primary endpoint, secondary objectives related to 
secondary endpoints, and safety objectives. 
The description of the objectives was clarified 
without substantive changes 
 
 
Section 3: Secondary endpoints are refined into 
sensitivity endpoints for the primary endpoints, 
secondary endpoints and related sensitivity 
endpoints, exploratory endpoints, descriptive 
endpoints and safety endpoints. The description of 
the endpoints was clarified without substantive 
changes. 
 
 
Section 10.1 on the sample size calculation: the 
accrual period used in the calculation was 24 days, 
not 8 weeks. This has been corrected to make the 
calculation reproducible. In addition more details on 
the used method are given (Schoenfeld method 
with assumption of exponential distribution, simple 
inflation method to account for non-susceptibility)  
 
 
Section 10.2 on type of statistical methods clarifies 
Cox Proportional Hazards models will be stratified 
according to the other randomization and according 
to dexamethasone use (as usual care in the 
treatment of covid19 has changed). Models will not 
be stratified for centre. 
 
 
Section 10.2 on type of statistical methods: both 
SAS and R software will be used for the analyses, 
not just R 
 
 
Section 2.4 on the primary objective: clinical 
improvement is defined as either an increase of “at 
least”2 points (not “more than” 2) on the 6-category 
ordinal scale or live hospital discharge 
 
 
Section 2.6 on exploratory objectives: subgroup 
analyses based on the serum IL-1 or IL-6 level at the 
time of randomization will only be performed for 
the primary and secondary endpoints, not for the 
exploratory or descriptive endpoints 
 
 
Section 3 on endpoints: Mean change from day 1 in 
HS score at day 15 or discharge is no longer an 
endpoint as the HS score will only be registered on 
day 1 
 
 
Section 4.2.1 on the end of study duration for an 
individual subject: this will be after all scheduled 
procedures have been completed, no distinction in 


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follow-up will be made for the primary endpoint 
anymore. 
 
 
Section 3.2: A new sensitivity endpoint related to 
the primary endpoint has been added: Time to 
clinical improvement (expressed in days), defined as 
the time from randomization to either an increase 
of at least two points on an 8-category ordinal scale 
(from the status at randomization) or live discharge 
from the hospital. 
This endpoint uses an 8-category scale instead of a 
6-category scale to make a distinction between 
intubation + mechanical ventilation and ventilation 
+ additional organ support (pressors, renal 
replacement therapy, ECMO) 
 
 
Section 4.2 on end of study definition, a subsection 
on the end of randomization was added to elucidate 
that randomization will stop either when 342 
patients have been randomized or when 246 events 
(clinical improvements) have been observed, 
whichever comes first and leads to the smallest 
number of patients. 
 
 
Section 10.1 on sample size calculation. 
For time to event endpoints, it is the number of 
events that drives the power, not the number of 
patients. Therefore, it is more important to observe 
the 
required 
number 
of 
events 
(clinical 
improvements) than to randomize the calculated 
needed number of patients.  
Hence, randomization will stop either when 342 
patients have been randomized or when 215 to 246 
events (clinical improvements) have been observed, 
whichever comes first and leads to the smallest 
number of patients. 
At least 215-246 events (i.e. increase of two points on 
the 6-category ordinal scale or live discharge from 
the hospital) are needed to achieve at least 80-85% 
power respectively to detect an improvement in 
median time to clinical improvement from 12 days to 
8 days (corresponding to a hazard ratio of 1.5) at a 
two-sided significance level of 5%, with an allocation 
ratio of 1:2 (or 2:1). 
 
 
Section 3.3 on secondary endpoints: The main 
secondary outcome concerning all-cause mortality is 
now: time since randomization until death from all 


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causes. All-cause mortality at day 28 and at week 20 
are considered to be related sensitivity endpoints. 
 
 
 
Section 10.2 on type of statistical methods. It has 
been clarified that no interim analysis for efficacy is 
planned. However, a Data Safety Monitoring Board 
has been foreseen to monitor covid-19 related 
academic trials initiated by the Ghent University 
Hospital. 
 
 
 
 
 
Section 3.6 on safety endpoints: laboratory values 
and vital signs have been added as safety endpoints 
(to match the safety interim analysis) 
 
 
 


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TABLE OF CONTENTS 
 
 
1. 
Protocol Summary ......................................................................................................................... 13 
2. 
Rationale and background............................................................................................................. 15 
2.1. 
Rationale ................................................................................................................................ 15 
2.2. 
Background ............................................................................................................................ 17 
2.3. 
Risk/Benefit Assessment ....................................................................................................... 19 
2.4. 
Primary Objectives ................................................................................................................ 20 
2.5. 
Secondary Objectives Related to the Primary Endpoint ....................................................... 20 
2.6. 
Exploratory Objectives Related to the Primary Endpoint ..................................................... 20 
2.7. 
Secondary Objectives Related to Secondary Endpoints ........................................................ 21 
2.8. 
Safety Objectives ................................................................................................................... 21 
3. 
Endpoints ....................................................................................................................................... 22 
3.1. 
Primary Endpoints ................................................................................................................. 22 
3.2. 
Sensitivity Endpoints Related to the Primary Endpoint ........................................................ 22 
3.3. 
Secondary Endpoints and Related Sensitivity Endpoints ...................................................... 23 
3.4. 
Exploratory Endpoints ........................................................................................................... 24 
3.5. 
Descriptive Endpoints ............................................................................................................ 24 
3.6. 
Safety Endpoints .................................................................................................................... 24 
4. 
Study Design .................................................................................................................................. 26 
4.1. 
Description of Study Design .................................................................................................. 26 
4.2. 
End of Study Definition .......................................................................................................... 27 
4.2.1. 
For an Individual Subject ........................................................................................... 27 
4.2.2. 
For the Whole Study ................................................................................................... 27 
4.2.3. 
Randomisation stop .................................................................................................... 27 
4.3. 
Estimated Duration of the Study ........................................................................................... 28 
5. 
Inclusion and Exclusion Criteria ..................................................................................................... 28 
5.1. 
Inclusion Criteria .................................................................................................................... 28 
5.2. 
Exclusion Criteria ................................................................................................................... 29 
5.2.1. 
Screen Failures .............................................................................................................. 29 
6. 
Target Population .......................................................................................................................... 30 
6.1. 
Subjects ................................................................................................................................. 30 
6.1.1. 
Number of Subjects and Planned Recruitment Rate ............................................ 30 
6.1.2. 
Withdrawal and replacement of subjects ..................................................................... 30 
6.2. 
Method of Recruitment ......................................................................................................... 31 


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6.3. 
Screening ............................................................................................................................... 31 
7. 
Investigational Medicinal Product (IMP) ....................................................................................... 32 
7.1. 
Name of the IMP ................................................................................................................... 32 
7.1.1. 
Composition and active substance of the IMP ....................................................... 32 
7.1.2. 
Producer and Distributor of the IMP ........................................................................ 32 
7.1.3. 
Preparation + Dosage + administration of the IMP ............................................... 32 
7.1.4. 
Permitted dose adjustments and interruption of treatment .................................. 34 
7.1.5. 
Duration of treatment.................................................................................................. 34 
7.1.6. 
Packaging and Labeling of the IMP ......................................................................... 35 
7.1.7. 
Storage conditions of the IMP ................................................................................... 35 
7.1.8. 
Known side effects of the medication ...................................................................... 35 
7.2. 
Concomitant / Rescue Medication ........................................................................................ 36 
8. 
Study Specific Procedures ............................................................................................................. 36 
8.1. 
Randomisation....................................................................................................................... 36 
8.2. 
Study specific interventions .................................................................................................. 36 
8.3. 
Overview of collected data .................................................................................................... 37 
8.4. 
Schematic overview of the data collection & interventions ................................................. 38 
8.5. 
Restrictions for subjects during the study ............................................................................. 41 
9. 
Sampling ........................................................................................................................................ 41 
9.1. 
Types and number of samples .............................................................................................. 41 
9.2. 
Timepoints of sampling ......................................................................................................... 41 
9.3. 
Sample Handling & Analysis .................................................................................................. 41 
9.4. 
Sample Storage and/or shipping ........................................................................................... 42 
9.5. 
Future use of stored samples ................................................................................................ 42 
10. 
Statistical Considerations .......................................................................................................... 43 
10.1. 
Sample Size Calculation ..................................................................................................... 43 
10.2. 
Type of statistical methods ............................................................................................... 43 
Primary analysis ............................................................................................................................. 43 
Interim analysis ............................................................................................................................. 44 
10.3. 
Statistical analysis team .................................................................................................... 44 
11. 
Data handling ............................................................................................................................ 44 
11.1. 
Method of data collection ................................................................................................. 44 
11.1.1. 
Case Report Form .................................................................................................. 44 
11.1.2. 
Data directly collected in the CRF (no source available) .................................. 45 
11.2. 
Data storage ...................................................................................................................... 45 


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11.3. 
Archiving of data................................................................................................................ 45 
11.4. 
Access to data .................................................................................................................... 45 
11.5. 
Study Data, Data Ownership and Data Sharing with KCE .................................................. 45 
12. 
Safety ......................................................................................................................................... 47 
12.1. 
Definitions ......................................................................................................................... 47 
12.2. 
Reporting requirements .................................................................................................... 49 
12.2.1. 
AE reporting ............................................................................................................. 49 
12.2.2. 
SAE reporting .......................................................................................................... 49 
12.2.3. 
SUSAR reporting .................................................................................................... 49 
12.3. 
List of contact details for safety reporting ........................................................................ 50 
12.4. 
Flowchart Reporting .......................................................................................................... 50 
12.5. 
Events, excluded from reporting ....................................................................................... 51 
12.6. 
Data Safety Monitoring Board (DSMB).............................................................................. 51 
12.7. 
Development Safety Update Report ................................................................................. 51 
13. 
Monitoring/Auditing/Inspection ............................................................................................... 52 
13.1. 
Monitoring ......................................................................................................................... 52 
13.1.1. 
General ..................................................................................................................... 52 
13.1.2. 
Monitoring team ...................................................................................................... 52 
13.1.3. 
Scope ........................................................................................................................ 52 
13.2. 
Inspection .......................................................................................................................... 52 
13.3. 
Protocol Deviation policy .................................................................................................. 52 
13.4. 
Serious breach to GCP and/or the protocol ...................................................................... 53 
14. 
Ethical and legal aspects ............................................................................................................ 54 
14.1. 
Good Clinical Practice ........................................................................................................ 54 
14.2. 
Informed Consent .............................................................................................................. 54 
14.3. 
Approval of the study protocol ......................................................................................... 55 
14.3.1. 
General ..................................................................................................................... 55 
14.3.2. 
Protocol amendments ............................................................................................ 55 
14.4. 
Confidentiality and Data Protection .................................................................................. 55 
14.5. 
Liability and Insurance ....................................................................................................... 56 
14.6. 
End of Study Notification ................................................................................................... 56 
15. 
Publication policy ...................................................................................................................... 57 
16. 
Reference List ............................................................................................................................ 57 
 
 
 


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LIST OF ABBREVIATIONS 
AE 
 
= 
Adverse Event 
AECC  
= 
American-European Consensus Conference  
ARDS  
=  
Acute Respiratory Distress Syndrome 
CI 
 
= 
Coordinating Investigator 
COVID-19 
= 
Coronavirus induced disease-2019 
CT 
 
= 
Clinical Trial Unit 
DSMB  
= 
Data Safety Monitoring Board 
DSUR  
= 
Development Safety Update Report 
EC 
 
= 
Ethics Committee 
ECG  
= 
Electrocardiogram 
ECMO  
= 
Extracorporeal Life Support Organisation 
eCRF  
= 
electronic Case Report Form 
EDC 
 
= 
Electronic Data Capture 
EPD 
 
= 
Electronic Patient Dossier 
FAMHP 
= 
Federal Agency for Medicines and Health Products 
FiO2  
= 
Fraction of inspired oxygen 
FPI 
 
= 
First Patient In 
FVC 
 
= 
Forced vital capacity 
GCP  
= 
Good Clinical Practice 
GDPR  
= 
General Data Protection Regulation 
GMP  
= 
Good Manufacturing Practice 
HIRUZ  
= 
Health, Innovation and Research Institute UZ Ghent 
HLH 
 
= 
Hyperferritinemia and Hemophagocytic Lymphohistiocytosis 
IB 
 
= 
Investigator’s Brochure 
ICF 
 
= 
Informed Consent Form 
ICH 
 
= 
International Council for Harmonisation 
IL-1 
 
= 
Interleukin-1 
IL-6 
 
= 
Interleukin-6 
IMP 
 
= 
Investigational Medicinal Product 
IMPD  
= 
Investigational Medicinal Product Dossier 
LVLS  
= 
Last Visit, Last Subject 
PCWP  
= 
Pulmonary Capillary Wedge Pressure 
PEEP  
= 
Positive End Expiratory Pressure 
PI 
 
= 
Principal Investigator 
PaO₂  
= 
Partial pressure of oxygen 
SAE 
 
= 
Serious Adverse Event 
SAR 
 
= 
Serious Adverse Reaction 
sHLH  
= 
secondary hemophagocytic lymphohistiocytosis 
SmPC  
= 
Summary of Product Characteristics 
SOP 
 
= 
Standard Operating Procedure 
SUSAR 
= 
Suspected Unexpected Serious Adverse Reaction 
TLC 
 
= 
Total Lung Capacity 
 
 


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1. Protocol Summary 
 
COV-AID trial: Comparisons and combinations of IL-6 and IL-1 blockade in patients with acute hypoxic 
respiratory failure and systemic cytokine release syndrome due to COVID-19 
Title 
A prospective, randomized, factorial design, interventional study to 
compare the safety and efficacy of combinations of blockade of 
interleukin-6 pathway, and interleukin-1 pathway to best standard of 
care in improving oxygenation and short- and long-term outcome of 
COVID-19 patients with acute hypoxia and systemic cytokine release 
syndrome 
Acronym 
COV-AID: Treatment of COVID-19 patients with anti-interleukin drugs 
Protocol number 
COV-AID 
Protocol version 
V5.0 
EudraCT number 
2020-001500-41 
Clinicaltrials.gov number 
NCT04330638    
Sponsor 
University Hospital Ghent 
Co-ordinating Investigator 
Bart N. Lambrecht 
Type of study 
Interventional 
Phase 
III  
Purpose of study 
To study the safety and effectiveness of individually or simultaneously 
blocking IL-6 and IL-1 versus standard of care on blood oxygenation 
and systemic cytokine release syndrome in patients with COVID-19 
coronavirus infection and acute hypoxic respiratory failure and 
systemic cytokine release syndrome  
Study design 
2 by 2 factorial design 
Prospective, multi-centre randomized, open label study  
Primary objective 
Study if blockade of IL-6 +/- IL-1 to block the cytokine storm and 
acute lung injury in comparison with usual care reduces time to 
clinical improvement as defined by an increase at least 2 points on 
the 6 point ordinal scale or live discharge from the hospital 
 


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Primary endpoint 
Time to clinical improvement (defined as the time from 
randomization to either an increase of at least two points on a six-
category ordinal scale (see below) from the status at randomization 
or live discharge from the hospital) 
Time scale: score measured daily up to hospital discharge, death, or 
the end of the study, whichever comes first 
1. Death 
2. Hospitalized, on invasive mechanical ventilation; 
3. Hospitalized, on non-invasive ventilation or high flow oxygen 
devices; 
4. Hospitalized, requiring supplemental oxygen 
5. Hospitalized, not requiring supplemental oxygen 
6. Not hospitalized 
Number of participants 
342  
Study population and main 
inclusion criteria 
Hospitalised adult patients with COVID-19 infection and acute 
hypoxia  
Presence of hypoxia defined as ratio PaO2/FiO2 below 350 and signs 
of systemic cytokine release syndrome characterized by high serum 
ferritin, or high LDH or deep lymphopenia 
Patients who have not been on mechanical ventilation for more than 
24h before randomisation.  
First treatment administration should happen as quickly as possible 
after randomisation. 
Control arm 
Standard of Care (SoC) (group A) 
Experimental arms  
SoC + Anakinra (Group B) 
SoC + Siltuximab (Group C) 
SoC + Siltuximab + Anakinra (Group D) 
SoC + Tocilizumab (Group E) 
SoC + Tocilizumab + Anakinra (Group F) 
Investigational drug, dose, 
route 
The study investigates IL-6 and IL-1 blockade. Current investigational 
drugs are listed below. If a new IL-6 or IL-1 blocker or other 
intervention becomes available, the data will be reviewed by the trial 
steering committee (TSC) and the protocol may be amended to 
include it.    
Anakinra (KINERET®) once daily 100 mg SC, day1-28 
Tocilizumab (ROACTEMRA®), single IV infusion, 8 mg/kg body weight 
Siltuximab (SYLVANT®), single IV infusion, 11mg/kg body weight 
Treatment duration 
28 days 
Anakinra: 28 days SC treatment 
Tocilizumab: single IV injection 
Siltuximab: single IV injection 
Follow-up duration 
10-20 weeks 
Study duration  
From first patient in to final report  
12 months 
 
 
 


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2. Rationale and background 
2.1. Rationale 
Coronavirus disease 2019 (COVID-19), a respiratory tract infection inflicted by a new coronavirus SARS-
CoV-2 was for the first time encountered in Wuhan, China in December 2019. It has now evolved to a 
pandemic threat with unknown outcome.  Genetic sequencing of the virus suggests that it is a 
betacoronavirus closely linked to the SARS virus (1).  
Most people with COVID-19 develop mild respiratory illness with upper airway symptoms, taste and 
smelling loss, cough, malaise and transient fever (Stage I of disease).  In this stage of the disease, viral 
replication is high, and the immune system at this stage fights the infection. In a subgroup of patients, 
there is a second phase of the disease (stage II), that occurs after approximately 7-10 days and is 
accompanied by increasing respiratory symptoms, persistent fever, and shortness of breath. In this 
stage of the disease there can be no signs (stage IIa) or signs of hypoxia (stage IIb) on blood gas analysis. 
Occurrence of respiratory symptoms and dyspnea are a sign of acute lung injury, and patients will often 
have bilateral ground glass opacities on chest CT.  The progression from stage I to later stages occurs 
in approximately 15% of patients, and requires hospitalization. A further 5% of patients develop stage 
III disease that requires admission to an intensive care unit mostly due to acute respiratory distress 
syndrome (ARDS), sepsis and septic shock, multiorgan failure, including acute kidney injury and cardiac 
injury (2). As patients progress from stage I to stage III, there are increasing signs of a systemic 
hyperinflammatory response, as reflected by increased levels of cytokines, CRP and ferritin, and some 
patients even develop frank secondary haemophagocytic lymphohistiocytosis (sHLH) characterized in 
decreasing lymphocytes, neutrophils and platelets, accompanied by diffuse intravascular coagulation. 
 
 
 
sHLH is an under-recognised, hyperinflammatory syndrome characterised by a fulminant and fatal 
hypercytokinaemia with multiorgan failure. In adults it is known that sHLH is most commonly triggered 
by viral infections and occurs in 3·7–4·3% of sepsis cases. Cardinal features of sHLH include unremitting 
fever, cytopenias, and hyperferritinaemia; pulmonary involvement can present as ARDS.   
 


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Viral, bacterial, and fungal pulmonary infections can all cause the cytokine storm syndrome that may 
be challenging to differentiate on clinical grounds. A complex cytokine response that builds in infection 
is characterized by series of overlapping networks. Cytokines TNF and IL-1 and the chemotactic 
cytokines IL-8 and MCP-1 are indicative of an acute response that appear almost immediately after 
infection, followed by a more sustained increase in IL-6. Interactions between IL-6 and its soluble 
receptor enhance the activity of IL-6 on target cells to further aggravate inflammation. IL-6 production 
is stimulated by TNF and IL-1b, therefore a measurement of IL-6 concentration in peripheral blood has 
often been used to assess the intensity of systemic cytokine responses in patients with sepsis, 
providing an integrated readout signal of these two early-response cytokine. Compensatory repair 
processes are initiated soon after inflammation begins, in an attempt to restore tissue and organ 
function. IL-10, which is an anti-inflammatory cytokine is secreted as the body attempts to control the 
acute systemic inflammatory response. Systemic production of IL-10 following the onset of a cytokine 
storm can serve as a marker of counter-anti-inflammatory response that has been termed 
“immunoparalysis”, in that it is associated with downregulation of neutrophil and monocyte function 
in the systemic circulation, and leads to downregulation of HLA-DR on monocytes.  The same cytokines 
that cause the systemic response and are leading to rise in ferritin and CRP as biomarkers, are also 
profoundly involved in causing acute lung injury.  Acute lung injury is accompanied by epithelial cell 
damage (loss of type 1 pneumocytes that line the alveolar space), initiation of the coagulation cascade 
(with endothelial and interstitial fibrin deposition) and activation of the complement cascade, which 
leads to further cell recruitment and perpetuation of damage. 
A balance of pro- and anti-inflammatory mechanisms is critical for maintaining the immune 
homeostasis systemically and in the lung and if one or more of these regulatory mechanisms are absent 
or aberrantly regulated, then the outcome may contribute toward a cytokine storm and progression 
of acute lung injury to franc clinical ARDS. 
Downregulation of systemic inflammation might be conceptually beneficial in controlling systemic 
responses to local infections. However, it has been suggested that patients who survive the initial 
cytokine storm but subsequently die, may be those who do not recover from immunoparalysis. 
Patients with persistent downregulation of HLA-DR (a marker of immunosuppression) on monocytes 3 
to 4 days after the onset of severe sepsis and cytokine storm have a high mortality rate, suggesting a 
rationale for therapy to reverse immunosuppression under such circumstances. 
 
 


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2.2. Background 
 
The proposed development plan was guided by three specific considerations: 
 
1. Supportive Scientific Rationale:  
Predictors of fatality from a recent retrospective, multicentre study of 150 confirmed COVID-19 cases 
in Wuhan, China, included elevated ferritin (mean 1297·6 ng/ml in non-survivors vs 614·0 ng/ml in 
survivors; p<0·001) and IL-6 (p<0·0001), suggesting that mortality might be due to virally driven 
hyperinflammation (1, 2). Respiratory failure from (ARDS) is the leading cause of mortality in COVID-
19 (4,5).  A cytokine profile resembling sHLH is associated with COVID-19 disease severity, 
characterised by increased interleukin (IL)-2, IL-7, granulocyte-colony stimulating factor, interferon-γ 
inducible protein 10, monocyte chemoattractant protein 1, macrophage inflammatory protein 1-α, 
and tumour necrosis factor-α (2).  
 
Liu concluded by analyzing 69 severe type COVID -19 patients that on admission, the baseline levels of 
IL-6, CRP, LDH and ferritin were closely related to the severity of COVID-19, and the elevated IL-6 was 
significantly related to the clinical manifestation of severe type patients. The decrease of IL-6 was 
linked to treatment effectiveness, while the increase of IL-6 indicated disease exacerbation. There was 
mild variation in IL-2, IL-4, IL-10, TNF-a, IFN-γ before and after treatment, all of which fluctuated within 
the normal range. 
 
In another cross-sectional study, 100 patients were included and divided into mild, severe or critical 
groups. Correlation of peripheral blood inflammation-related indicators with disease was criticality 
analyzed. Cut-off values for critically ill patients were speculated using ROC curve analyses. With 
following parameters such as age (R=-0.564, P67.5 years, IL2R >793.5U/mL, CRP >30.7ng/mL, 
ferroprotein >2252μg/L, WBC>9.5*10^9/L or NC >7.305*10^9/L, the progress of COVID-19 to critical 
stage should be closely observed and possibly prevented. They eventually state that as inflammation 
is closely related to severity of COVID-19, IL-6, TNFα and IL-8 might be promising therapeutic targets.  
Similar analysis on cytokines and cells has been done on another group of 102 mild and 21 severe 
COVID-19 patients. Significant differences were noticed between the two groups in CD4 + T, CD8 + T, 
IL-6 and IL-10 with low levels of CD4+T and CD8+T and higher IL-6 and IL-10 levels in severe patients 
(12) 
 
Interleukin 1 is known as an inducer of fever and induces CRP, which is often enhanced in patients with 
severe 
COVID-19. 
IL-1 
is 
an 
important 
mediator 
of 
fever 
in 
autoinflammatory 
syndromes/inflammasomopathies such as NOMID, CAPS, and Still’s disease.  Interleukin-1 is also an 
important mediator in acute lung injury. Although less evidence supports high levels of IL-1 in COVID-
19 patients, this could be due to the fact that IL-1 is hard to measure in the serum of these patients, 
and could better be addressed by measuring levels of IL-1RA. IL-1 blockade using anakinra is currently 
also suggested as an arm in the multicentre ReMapCAP trial in ICU patients, built in as a new arm 
addition to the existing trial, because of the emerging COVID-19 crisis.  Re-analysis of data from a phase 
3 randomized controlled trial of IL-1 blockade (anakinra) in sepsis with ARDS showed significant 
survival benefit in patients with hyperinflammation, without increased adverse events (3).   
 
Preliminary data reported on 21 patients in an open label study report a favourable clinical evolution 
of tocilizumab treated patients, with reduction in fever, hyperferritinemia, cytopenia.  
A multicentre, randomised controlled trial of tocilizumab (IL-6 receptor blockade, licensed for cytokine 
release syndrome), has been approved in patients with COVID-19 pneumonia and elevated IL-6 in 


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China (ChiCTR2000029765).  This 63 patient study has been completed, but formal analysis has not 
been published. A large 400 patient Adaptive Phase 2/3, Randomized, Double-Blind, Placebo-
Controlled Study Assessing Efficacy and Safety of Sarilumab (anti-IL6R) for Hospitalized Patients With 
COVID-19 versus best standard of care has been launched in stage2b patients with COVID-19 infection 
in the US by Sanofi/Regeneron. (ClinicalTrials.gov Identifier: NCT04315298). Primary endpoints in that 
study will be clinical evolution on a six score scale, and time to resolution of fever >48h. Important 
secondary endpoints include parameters of lung oxygenation (PaO2/FiO2), and clinical outcome 
(hospital stay, all-cause mortality at 28 days).  The FDA has also approved the initiation of a double-
blind, randomized phase III clinical trial (COVACTA) of tocilizumab for use in combination with standard 
of care.  The trial is about to start. 
 
Preliminary data obtained at Hospital St.-Pierre Brussels show that IL-6 levels are increased in a subset 
of COVID-19 Stage-3 patients, and that tocilizumab (TCZ) reduces key inflammatory parameters like 
CRP, while improving oxygenation. 
 
 
 
 
2. Experience: Use of IL-6R blockade is approved for treatment of cytokine release syndrome 
associated with CAR-T cell therapy, and has been widely used in long term treatment of RA and Still’s 
disease. Anakinra has been used for treatment of systemic auto-inflammatory syndromes. Re-
analysis of data from a phase 3 randomized controlled trial of IL-1 blockade (anakinra) in sepsis 
showed significant survival benefit in patients with hyperinflammation, without increased adverse 
events(3).  Siltuximab has been used as an orphan drug indication for treatment of multicentric form 
of Castelman’s disease (MCD), another auto-inflammatory syndrome(4) 
 
3. Expediency: Toxicology, pharmacologic and safety data supports the immediate clinical use of IL-6 
and/or IL-1 blockade in severe hypoxia and ARDS and in features of sHLH  due to COVID-19 (5, 6). 
Investigator brochures of these drugs are available and contain detailed information on toxicity. 
 


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2.3. Risk/Benefit Assessment 
 COVID-19 poses a very significant risk of mortality of 3-7% and this percentage rises to 
mortality of 20% in patients with co-morbidity(2, 7). Of all infected patients, some 15-20% 
develop Acute lung injury and severe respiratory symptoms necessitating hospital admission. 
Around 5% of infected patients will require invasive mechanical ventilation, and many of those 
(40-50%) will die. The current world-wide pandemic of COVID-19 is putting unforeseen stress 
on the entire primary, secondary and tertiary medical system, leading to unseen triage of 
patients that potentially benefit or not from admission to ICU units when they develop 
respiratory failure . 
There are currently no treatments directed at improving gas exchange, cytokine release syndrome, 
and sHLH in COVID-19 patients, and no treatment that attempts to halt the progression from 
manageable acute hypoxic respiratory failure to ARDS (5, 8-11). Preventing such progression to ARDS 
could have a huge impact on the foreseeable overflow of the ICU units. We therefore believe the 
benefits of administering anti-IL6R and/or IL-1 blockade treatment in early stage COVID-19 acute 
hypoxic respiratory failure and signs of cytokine release syndrome outweighs the risks associated with 
a phase 4 IMP administration. 
Anakinra was first approved for use in RA in the US in 2001 and subsequently in the EU in 2002. More 
than 3000 patients were involved in this development program.  The initial IND for Anakinra was 
granted in 1991. The estimated cumulative exposure to Anakinra in completed company sponsored 
clinical studies up to May 1st 2018 is 6404 subject years in 8518 subjects with various indications. Since 
approval in 2001 the total post marketing exposure of Anakinra is > 102.000 patient years. Anakinra is 
administered s.c. at doses of 100 mg/day (RA) or in weight based dosing up to 8mg/kg/day in NOMID 
syndrome. In sepsis, several trials have used doses up to 2 mg/kg/hour IV over 72 hours to more than 
500 patients, and were well tolerated. Re-analysis of data from a phase 3 randomized controlled trial 
of IL-1 blockade (anakinra) in sepsis showed significant survival benefit in patients with 
hyperinflammation, without increased adverse events(3).   
 
Limitations and context 
There is a large number of COVID-19 infected patients that are currently being hospitalized across the 
globe. By 30 march 2020, over 4524 patients have been admitted to Belgian hospitals with severe 
respiratory symptoms, and 513 people have died and 927 are admitted to the ICU, most likely all with 
severe acute lung injury. Worldwide, more than 31680 people have died as of March 29. We therefore 
believe that given the current ascending part of the epidemiology curve, with numbers of patients 
rising sharply, there will be no shortage of patients that are eligible. 
 
There is currently a lot of pressure on using the IMPs as off-label indications to treat COVID-19 
worldwide. We have checked availability of these drugs for investigational use with Belgian 
representatives of the company and have confirmation from ROCHE, EUSAPHARMA and SOBI that 
sufficient drug will be reserved for purchase as trial medication for this trial. A recent WHO ad hoc 
informal consultation on the use of IL-6/IL-1 antagonists in the clinical management of COVID19 
infection convened on march 25th 2020 in Geneva and concluded that if we are to understand the real 
value of these immunomodulatory therapies and understand their risks and benefits, the limited stock 
of drugs should best be used to perform randomized controlled trials.  
 
 
 


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2.4. Primary Objectives 
Justification for our objective is that preventing cytokine release syndrome and progression from early 
hypoxic respiratory failure and mild acute lung injury to ARDS could have a huge impact on the 
foreseeable overflow of the ICU units. The outcome of our study could thus have large impact from a 
medical, ethical and economic perspective. 
 
The hypothesis of the proposed intervention is that IL-6 and/or IL-1 are important mediators of the 
cytokine release syndrome that has an important impact on acute lung injury and development of 
secondary cytopenias post COVID-19, and thus affect clinical outcome of the patients 
 
The primary objectives of this study are  
1) to compare time to clinical improvement after IL-1 blockade treatment with Anakinra with time to 
clinical improvement after treatment without Anakinra (usual care or IL-6 blockade treatment only), 
and  
2) to compare time to clinical improvement after treatment with IL-6 blockade treatment (Tocilizumab 
or Siltuximab) with time to clinical improvement after treatment without IL-6 blockade (usual care or 
IL-1 blockade treatment alone), 
in COVID-19 patients with hypoxia and signs of cytokine release syndrome,  
with clinical improvement defined as either an increase of at least 2 points on the 6-category ordinal 
scale (from the status at randomization) or live discharge from the hospital. 
 
the primary objective of this intervention is :  
Study if blockade of IL-6 +/- IL-1 to block the cytokine storm and acute lung injury in comparison with 
usual care reduces time to clinical improvement as defined by an increase of at least 2 on points the 
6-category ordinal scale (from the status at randomization) or live discharge from the hospital, 
whichever occurs first 
 
2.5. Secondary Objectives Related to the Primary Endpoint 
If the overall effect of IL-6 blockade treatment on time to clinical improvement is statistically 
significant, then secondary objectives are: 
- 
To compare time to clinical improvement after treatment with Tocizilumab with time to clinical 
improvement after treatment without IL-6 blockade (usual care or IL-1 blockade treatment 
alone) 
- 
To compare time to clinical improvement after treatment with Siltuximab with time to clinical 
improvement after treatment without IL-6 blockade (usual care or IL-1 blockade treatment 
alone) 
If both Tocizilumab and Siltuximab have a statistically significant effect on time to clinical improvement 
compared to treatment without IL-6 blockade, then a further secondary objective is: 
- 
To evaluate whether the effects of Tocizilumab and Siltuximab on time to clinical improvement 
are clinically equivalent 
2.6. Exploratory Objectives Related to the Primary Endpoint 
- 
To test for an interaction between the effect of IL-1 blockade treatment and IL-6 blockade 
treatment on time to clinical improvement. It is important to recognize that this test generally has 


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low power in a 2x2 trial designed to detect the main effects of IL-1 blockade treatment and IL-6 
blockade treatment. 
- 
To test if the effect of IL-1 blockade treatment on time to clinical improvement is modified by 
serum IL-1 level at the time of randomization. 
- 
To test if the effect of IL-6 blockade treatment on time to clinical improvement is modified by 
serum IL-6 level at the time of randomization. 
2.7. Secondary Objectives Related to Secondary Endpoints 
To compare  
A. arms with IL-1 blockade treatment versus arms without IL-1 blockade treatment and  
B. arms with IL-6 blockade treatment  versus arms without IL-6 blockade treatment,  
with respect to: 
- 
Oxygenation (as measured by Pa02/FiO2 while breathing room air) 
- 
All-cause mortality  
- 
Defervescence (the absence of fever for more than 48h without antipyretics) 
- 
Degree of illness (as measured by the SOFA score) 
- 
Laboratory values of ferritin levels 
2.8. Safety Objectives 
To assess the overall safety of IL-1 blockade and / or IL-6 blockade treatment in terms of  
- 
Death 
- 
Adverse events and subclassifications thereof 
- 
Microbiology (Nosocomial bacterial or invasive fungal infection) 
- 
Laboratory parameters at day 1, day 6, and day 15 or discharge (whichever comes first)  
- 
Vital signs at day 1, day 6, and day 15 or discharge (whichever comes first)  
 
 


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3. Endpoints 
3.1. Primary Endpoints  
Time to clinical improvement (expressed in days), defined as the time from randomization 
to either an increase of at least two points on a six-category ordinal scale (from the status 
at randomization) or live discharge from the hospital, whichever occurs first 
 
The 6-category ordinal scale:  
1. Death 
2. Hospitalized, on invasive mechanical ventilation; 
3. Hospitalized, on non-invasive ventilation or high flow oxygen devices; 
4. Hospitalized, requiring supplemental oxygen 
5. Hospitalized, not requiring supplemental oxygen 
6. Not hospitalized 
Patients who do not have experienced clinical improvement by the end of the study, will be 
censored at the date of the last follow-up visit.  
Patients who die before having experienced clinical improvement will be censored at the 
longest observed follow-up time seen in the study. 
 
3.2. Sensitivity Endpoints Related to the Primary Endpoint 
To gain a better understanding of the already demonstrated effect on the primary endpoint, the 
following sensitivity endpoints will be examined: 
 
- 
Time to clinical improvement (expressed in days), defined as the time from randomization to either 
an increase of at least two points on an 8-category ordinal scale (from the status at randomization) 
or live discharge from the hospital, whichever occurs first. 
This 8-category ordinal scale (based on the WHO R&D Blueprint) makes a further distinction 
between intubation + mechanical ventilation and ventilation + additional organ support – 
pressors, renal replacement therapy, Extracorporeal Life Support Organisation: 
1. Death 
2. Hospitalized, ventilation + additional organ support – pressors, renal replacement therapy, 
Extracorporeal Life Support Organisation (ECMO) 
3. Hospitalized, intubation and mechanical ventilation 
4. Hospitalized, non-invasive ventilation or high flow oxygen 
5. Hospitalized, oxygen by mask or nasal prongs 
6. Hospitalized, no oxygen therapy 
7. Ambulatory, limitation of activities 
8. Ambulatory, no limitation of activities 


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All patients with hospital discharge (score 7 or 8) will be considered to have experienced the event 
(regardless of the relative improvement on the scale from the status at discharge). The eCRF will 
not record the presence of limitation of activities in ambulatory patients, hence no distinction 
between score 7 or 8 can be made. 
- 
Time since randomization until independence from supplemental oxygen 
- 
Time since randomization until independence from mechanical ventilation in ventilated patients 
(at time of randomization) 
- 
Absolute number of ventilator-free days up to 28 days after randomization 
- 
Time since randomization until first use of high-flow oxygen devices, non-invasive or invasive 
mechanical ventilation, ARDS or death in non-ventilated patients (at time of randomization) 
Criteria-defined ARDS according to the adapted Berlin criteria as follows: 
o Within 1 week of a known clinical insult or new or worsening respiratory symptoms 
o Bilateral infiltrates not supposed to be of cardiac origin or fluid overload 
o PaO2/FiO2 < 300 MMHG 
o PEEP > 5 cm H20 on invasive or non-invasive ventilation or flow ≥ 50L/min on HFOT 
(Optiflow)  
- 
Time since randomization until first use of salvage systemic steroids in ventilated patients (at time 
of randomization) 
- 
Absolute number of days without supplemental oxygen use up to 28 days after randomization 
- 
Absolute number of ventilator-free days up to 28 days after randomization in ventilated patients 
(at time of randomization) 
- 
Relative number of ventilator days in ventilated patients (at time of randomization), relative to 
number of days alive the first 28 days after randomization 
- 
Absolute number of days in hospital 
- 
Absolute number of days in hospital in patients with live hospital discharge 
- 
Relative number of days in hospital, relative to number of days alive the first 28 days after 
randomization 
- 
Time since randomization until live hospital discharge 
- 
Absolute number of days in ICU in ventilated patients at time of randomization 
- 
Relative number of days in ICU in ventilated patients at time of randomization, relative to number 
of days alive the first 28 days after randomization 
3.3. Secondary Endpoints and Related Sensitivity Endpoints 
To demonstrate additional effects after success on the primary endpoint and / or to provide 
evidence that a particular mechanism underlies a demonstrated clinical effect, the following 
secondary endpoints and related sensitivity endpoints will be examined: 
 
- 
Mean change from day 1 in Pa02/FiO2 while breathing room air at day 15 or discharge, whichever 
comes first 
- 
Time since randomization until death from all causes 


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Related sensitivity endpoints: 
o All-cause mortality at day 28 
o All-cause mortality at day 28 in non-ventilated patients at time of randomization 
o All-cause mortality at week 20 
- 
Time since randomization until absence of fever for more than 48h without antipyretics or live 
hospital discharge, whichever comes first 
Related sensitivity endpoint: 
o Absolute number of days with fever during hospital stay since randomization 
- 
Mean ferritin level at day 6 (or discharge, whichever comes first) 
- 
Mean SOFA score at day 6 (or discharge, whichever comes first) 
Related sensitivity endpoints: 
o Mean slope of SOFA score over time 
o Mean SOFA score at day 15 (or discharge, whichever comes first) 
3.4. Exploratory Endpoints  
- 
Mean CRP at day 6 (or discharge, whichever comes first) 
3.5. Descriptive Endpoints 
- 
Score on the 6-category ordinal scale at day 15 
- 
Score on the 6-category ordinal scale at 10-20 weeks 
- 
Mean lung fibrosis score at 10-20 weeks 
- 
Mean forced expiratory volume in 1 second (FEV1) at 10-20 weeks 
- 
Mean forced vital capacity (FVC) at 10-20 weeks 
- 
Mean functional residual capacity (FRC) at 10-20 weeks 
- 
Mean residual volume (RV) at 10-20 weeks 
- 
Mean diffusing capacity of the lungs for carbon monoxide (DLCO) at 10-20 weeks 
- 
Mean distance on the 6-minute walking test at 10-20 weeks 
3.6. Safety Endpoints 
- 
Death 
o Time since randomization until death from all-causes 
o All-cause mortality at day 28 
o All-cause mortality at week 20 
- 
Nosocomial bacterial or invasive fungal infection within 28 days after randomization 
- 
Adverse events and subclassifications thereof 
o Adverse events (AEs)  


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o AEs leading to death  
o AEs leading to discontinuation of study treatment  
o Suspected unexpected serious adverse reactions (SUSARs)  
o Serious adverse reactions (SARs)  
o Adverse reactions (ARs)  
o Serious adverse events (SAEs)  
o AEs  
- 
Laboratory parameters at day 1, day 6, and day 15 or discharge (whichever comes first)  
o Hemoglobin (g/dL) 
o Thrombocyte count (#/µL) 
o C-reactive protein, CRP (mg/L) 
o Procalcitonine (ng/mL) 
o Creatinine (mg/dL) 
o Alanine aminotransferase, ALT (IU/L) 
o Bilirubin (mg/dL) 
o Ferritin (µg/L) 
o Triglycerides (mg/dL) 
o Arterial oxygen partial pressure, PaO2 (mmHg) 
o Fraction of inspired oxygen, FiO2 (%) 
o D-dimers (ng/mL) 
- 
Vital signs at day 1, day 6, and day 15 or discharge (whichever comes first) 
o Mean arterial pressure (mmHg)  
o Respiratory rate (#/min) 
o Pulse rate (#/min) 
o Highest temperature in the last 24h (°C) 
 
 


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4. Study Design  
4.1. Description of Study Design 
This is a multi-center, interventional, open label, 6-arm 2x2 factorial design study designed to 
investigate the efficacy of tocilizumab, tocilizumab and anakinra, siltuximab, siltuximab and anakinra 
and anakinra alone versus usual care in improving short- and long-term outcome of COVID-19 patients 
with hypoxia and signs of cytokine release syndrome. A 2x2 factorial design was selected because it 
allows to answer two independent research questions simultaneously, while minimizing the number 
of patients enrolled in the trial, which is important in view of the emerging shortage of interleukin-
blocking therapies.  In addition, the number of patients not receiving study medication is kept to a 
minimum, which is more justifiable in such a severe disorder as COVID-19. 
 
There are currently no treatments directed at halting the cytokine storm and acute lung injury to stop 
the progression from manageable hypoxia to frank respiratory failure and ARDS(5, 9). Preventing 
progression from early acute hypoxia and cytokine release syndrome to frank hypoxic respiratory 
failure and ARDS could have a huge impact on the foreseeable overflow of the ICU units, that is already 
happening in some countries and is bound to happen on a global scale.  In ventilated patients, 
preventing the onset of ARDS, or shortening ICU stay could also be crucial in this regard. The study will 
be performed in adults, because several of the patients will have to be admitted to the intensive care 
unit. In pediatric patients, the presence of cytokine has been less described, and paediatric ICU units 
currently have limited experience and numbers of COVID-19 patients with cytokine release syndrome. 
 
 
 
 
 


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`
 
 
To measure the effectiveness of tocilizumab, tocilizumab and anakinra, siltuximab, siltuximab and 
anakinra and anakinra versus usual care on restoring lung homeostasis, we will assess the  time to 
clinical improvement as defined as the time from randomization to either an improvement of at least 
two points on a six-category ordinal scale (from the status at randomization) or live discharge from the 
hospital using single IV injection (siltuximab or tocilizumab) combined or not with daily subcutaneous 
injections of anakinra until 28 days or hospital discharge, whichever is first. During the treatment 
period, we will perform daily clinical assessments of severity, daily laboratory check-up, measurements 
of oxygen saturation (pulse oximetry) in relation to FiO2, regular arterial blood gas measurements, 
regular chest X-rays, chest CT scans on clinical indication. 
4.2. End of Study Definition 
4.2.1. For an Individual Subject 
The subject has completed the study if he or she has completed all phases of the study, including the 
last visit (week 10-20 clinical follow up visit) or the last scheduled procedures, as described in this 
protocol (see section “8. Study Specific Procedures”). 
4.2.2. For the Whole Study 
Overall, the end of the study is reached when the last study procedure for the last subject has occurred: 
last subject, last visit (LSLV). 
As soon as the whole study has ended (cfr. the definition above), the co-ordinating Investigator shall 
notify the HIRUZ Clinical Trial Unit, so that the Competent Authority and the Ethics Committee can be 
informed in a timely manner according to the regulatory requirements (within 90 days after end of the 
study, or if the study had to be terminated early, this period must be reduced to 15 days and the 
reasons should clearly explained). 
4.2.3. Randomisation stop 
Randomisation will stop either when 342 patients have been randomized or when 246 events (clinical 
improvements) have been observed, whichever comes first and leads to the smallest number of 
patients. 
 
 
Usual Care
Sylvant 
(Situximab)
Roactemra 
(Tocilizumab)
Usual Care
A: Usual Care
(2/9)
C: Sylvant
(2/9)
E: Roactemra
(2/9)
Kineret 
(Anakinra)
B: Kineret
(1/9)
D: Kineret + 
Sylvant
(1/9)
F: Kineret + 
Roactemra
(1/9)
RANDOMIZATION 2
RANDOMIZATION 1


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4.3. Estimated Duration of the Study 
There is a large number of COVID-19 infected patients that are currently being hospitalized across the 
globe.  In just 15 days time, the COVID-19 ward at Ghent University Hospital has admitted 85 confirmed 
cases, of which a significant portion (30%) already fulfilled eligibility criteria for the current proposed 
protocol.  We estimate the study to terminate in 32 weeks, including last clinical follow up visits.  
5. Inclusion and Exclusion Criteria 
5.1. Inclusion Criteria 
The following patients will be enrolled 
 
-Recent (≥6 days of flu-like symptoms or malaise yet ≤16 days of flu-like symptoms or malaise prior to 
randomization) infection with COVID-19.Confident COVID-19 diagnosis confirmed by antigen detection 
test and/or PCR and/or positive serology, or any emerging and validated diagnostic laboratory test for 
COVID-19 within this period.  
-In some patients, it may be impossible to get a confident laboratory confirmation of COVID-19 
diagnosis after 24h of hospital admission because viral load is low and/or problems with diagnostic 
sensitivity.  In those cases, in absence of an alternative diagnosis, and with highly suspect bilateral 
ground glass opacities on recent (<24h) chest-CT scan (confirmed by a radiologist and pulmonary 
physician as probable COVID-19), and a typical clinical and chemical diagnosis with signs of cytokine 
release syndrome, a patient can be enrolled as probable COVID-19 infected. In all cases, this needs 
confirmation by later seroconversion.  
-Presence of hypoxia defined as  
PaO2/FiO2 below 350 while breathing room air in upright position or PaO2/FiO2 below 280 on 
supplemental oxygen and immediately requiring high flow oxygen device or mechanical 
ventilation. 
 
 
 
-signs of cytokine release syndrome defined as  
ANY of the following 
-serum ferritin concentration >1000 mcg/L and rising since last 24h 


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-single ferritin above 2000 mcg/L in patients requiring immediate high flow oxygen device or 
mechanical ventilation 
-lymphopenia  defined as <800 lymphocytes/microliter and two of the following extra criteria 
 
 
Ferritin > 700 mcg/L and rising since last 24h 
 
-increased LDH (above 300 IU/L) and rising since last 24h 
 
 
-D-Dimers > 1000 ng/mL and rising since last 24h 
 
 
-CRP above 70 mg/L and rising since last 24h and absence of bacterial infection 
 
 
-if three of the above are present at admission, no need to document 24h rise  
-Chest X-ray and/or CT scan showing bilateral infiltrates within last 2 days 
-Admitted to specialized COVID-19 ward or an ICU ward taking care of COVID-19 patients 
-Age ≥ 18 years 
-Male or Female 
- Women of childbearing potential must have a negative serum pregnancy test pre-dose on day 1. 
Women of childbearing potential must consistently and correctly use (during the entire treatment 
period and 3 months after last treatment) 1 highly effective method for contraception. 
-Willing and able to provide informed consent or legal representative willing to provide informed 
consent 
5.2. Exclusion Criteria  
- 
Patients with known history of serious allergic reactions, including anaphylaxis, to any of the 
study medications, or any component of the product.  
- 
mechanical ventilation > 24 h at randomization 
- 
Patient on ECMO at time of screening 
- 
clinical frailty scale above 3 (This frailty score is the patient status before first symptoms of 
COVID-19 episode.) 
- 
active bacterial or fungal infection  
- 
unlikely to survive beyond 48h 
- 
neutrophil count below 1500 cells/microliter 
- 
platelets below 50.000/microliter 
- 
Patients enrolled in another investigational drug study 
- 
patients on high dose systemic steroids (> 8 mg methylprednisolone or equivalent for more 
than 1 month) for COVID-19 unrelated disorder 
- 
patients on immunosuppressant or immunomodulatory drugs 
- 
patients on current anti-IL1 or anti-IL6 treatment  
- 
signs of active tuberculosis 
- 
serum transaminase levels >5 times upper limit of normal, unless there are clear signs of 
cytokine release syndrome defined by LDH >300 IU/L and ferritin >700 ng/ml 
- 
history of (non-iatrogenic) bowel perforation or diverticulitis 
- 
Pregnant or breastfeeding females (all female subjects deemed of childbearing potential by 
the investigator must have negative pregnancy test at screening)   
5.2.1. Screen Failures 
Screen failures are defined as subjects who consent to participate in the clinical study but are not 
subsequently randomly assigned to the study intervention or entered in the study. A minimal set of 
screen failure information will be kept to ensure transparent reporting of screen failure subjects.  


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6. Target Population 
6.1. Subjects 
6.1.1. Number of Subjects and Planned Recruitment Rate 
There is a large number of COVID-19 infected patients that are currently being hospitalized across the 
globe. In just 14 days time, our COVID-19 ward at Ghent University Hospital has admitted 91 confirmed 
cases, of which a significant portion (30%) already fulfil eligibility criteria for the current proposed 
protocol.  Similar numbers of patients are currently being seen in the participating centers in Belgium. 
We therefore believe that given the current ascending part of the epidemiology curve, with numbers 
of patients rising sharply, there will be no shortage of patients that are eligible.  
 
342 patients will be recruited within an accrual period of 24 days in order to observe at least 215 
patients with clinical improvement (when the last patient has 28 days of follow-up). 
We expect to recruit 100 patients / week over all centers. 
6.1.2. Withdrawal and replacement of subjects 
Subjects are free to withdraw from participation in the study at any time upon request.  
An investigator may discontinue further administration of study drug for the following reasons 
(however assessments will continue to be made and patients will remain in the intent to treat 
population for statistical analysis):  
• Allergic reactions (anaphylactic shock) to study drugs 
• Pregnancy 
• Duration of mechanical ventilation has moved beyond >24h at time of randomization 
• Significant study intervention non-compliance  
• If any clinical adverse event (AE), laboratory abnormality, or other medical condition or 
situation occurs such that continued participation in the study would not be in the best interest 
of the subject 
• If the subject meets an exclusion criterion (either newly developed or not previously 
recognized) that precludes further study participation  
 
The investigator can exceptionally discontinue further study procedures if they feel that the patient is 
too sick and that it wouldn’t be ethical to continue treatment. However, all safety data must be 
collected. 
 
In all cases, the reason why subjects stopped study medication must be recorded in detail in the eCRF 
and in the subject’s medical records. 
 
The following actions must be taken if a subject fails to return to the clinic for a required study visit 
(visit at 10-20 weeks post end of study) :  
• The site will attempt to contact the subject and reschedule the missed visit within 4 weeks 
and counsel the subject on the importance of maintaining the assigned visit schedule and 
ascertain if the subject wishes to and/or should continue in the study.  
• Before a subject is deemed lost to follow-up, the investigator or designee will make every 
effort to regain contact with the subject (where possible, 3 telephone calls and, if necessary, a 
certified letter to the subject’s last known mailing address or local equivalent methods). These 
contact attempts should be documented in the subject’s medical record or study file.  


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• Should the subject continue to be unreachable, he or she will be considered to have 
withdrawn from the study with a primary reason of lost to follow-up.  
6.2. Method of Recruitment 
Subjects will be recruited at the COVID-19 hospitalization ward and or ICUs at the participating centers. 
The study will be proposed by the treating physician to all subjects with confirmed COVID-19 infection 
and a presence of hypoxia, and signs of cytokine release syndrome. 
There will be no compensation for study participation. Study medication is paid for  by Kennis Centrum 
KCE, and dispatched from UZ Gent Hospital Pharmacy. 
Since this is a hospital based trial, in which patients are severely ill and in infection quarantine, we 
suspect the retention in the trial to be high.  
6.3. Screening 
Patients will be informed about the study by the treating physician. 
After receiving full explanation, having received sufficient time to considerer the trial, asking questions 
and receiving satisfying responses to all questions, patients will be asked to sign ICF. 
 
A serum pregnancy test will be done (female patients only). 
Medical history will be checked for review of exclusion criteria and relevant subject information. 
 
Patients will be continuously monitored on the COVID-19 ward. 
Exams (standard of care) include, but are not limited to: 
- 
ECG 
- 
Chest X-Ray, and/or CT-scan 
- 
Laboratory  tests for leukocyte formula, kidney and liver function, ferritin levels, LDH level 
- 
Vital signs 
- 
Pulse oximetry, Arterial blood gas, capnography 
As soon as all in- and exclusion criteria are checked and patient is considered eligible, patient can be 
randomized in IVRS. This is allowed the day before D1 in order to make practical arrangements to start 
treatment.  
 


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7. Investigational Medicinal Product (IMP) 
7.1. Name of the IMP 
7.1.1. Composition and active substance of the IMP 
7.1.1.1 Tocilizumab (ROACTEMRA®) is a humanised anti-IL6 antibody approved for the treatment of 
rheumatoid arthritis, juvenile idiopathic arthritis and giant cell arteritis. It is also licensed for the 
induction of the rapid reversal of cytokine release syndrome (CRS), a form of cytokine storm caused by 
CAR-T treatment. Il-6 is a key pro-inflammatory cytokine and an important mediator of fever and the 
acute phase response. Tocilizumab prevents Il-6 from binding to soluble and cell associated Il-6 
receptors inhibiting signalling.  
7.1.1.2 Siltuximab (SYLVANT®) is a chimeric antibody neutralizing IL-6. It has been used in treatment 
of metastatic kidney cell tumors, prostate cancer and multicentric form of Castelman’s disease. 
7.1.1.3 Anakinra (KINERET®) is an IL-1 inhibitor binding to the IL-1 receptor.  It is indicated in EU for 
treatment of Rheumatoid arthritis,  cryopyrin-associated periodic syndromes (CAPS, NOMID) and Still’s 
disease, a rare disease causing inflammation of joints as well as rash and fever. 
7.1.2. Producer and Distributor of the IMP 
Anakinra (KINERET®) will be purchased and distributed from SOBI 
Tocilizumab (ROACTEMRA®) will be purchased and distributed from ROCHE 
Siltuximab (SYLVANT®) will be purchased and distributed from EUSAPHARMA 
  
7.1.3. Preparation + Dosage + administration of the IMP 
Drugs will be purchased by the central hospital pharmacy of UZ Gent and dispatched to other 
participating centers.   
 
Preparation and storage: 
Roactemra® (tocilizumab) IV- Infusion prepared starting from flasks containing 400mg/20ml stock 
solution (to dilute for infusion)  Source SKP FAGG 
Shelf life : Diluted product: After dilution the prepared infusion solution is chemically and physically 
stable in sodium chloride 9 mg/ml (0,9 %) injection solution at 30°C for a period of 24 hours. For safety 
reasons, the infusion solution should be used immediately to avoid growth of microbes. When 
injection cannot be done immediately, product quality and storage conditions are the responsibility of 
the person who prepared the solution, and the diluted product should not be stored longer than 24 
hours at a temperature between 2-8°C. If product was diluted under controlled and validated aseptic 
conditions, storage time can be extended.  
Shelf life Closed injection vial: 30 months 
Store injection vials refrigerated (2°C – 8°C). Do not freeze-thaw. 
Keep injection vials away from direct sun light by storing them in the original packing.  
 
 
 


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Due to shortage of ROACTEMRA® for IV usage, some hospital will dispense ROACTEMRA® for 
subcutaneous route in infusion bags for IV injection, as per instructions of the manufacturer: 
 
Roactemra® (tocilizumab) IV infusion prepared from Prefilled syringe 162mg / 0.9ml SC 
Source : Emergency use of Actemra SC in an infusion bag (see attachment) + SKP FAMHP 
Shelf life : Diluted product: At a concentration of 1.6 - 8.8 mg / ml in a sodium chloride 0.9% 100ml 
infusion: can be used up to 9 hours after dilution (including administration time of  max. 2 hours) 
Unused Syringe should be stored at 2-8 ° C. Dose solutions using aseptic technique were prepared in 
100 mL IV infusion bags containing normal saline (0.9% NaCl) and constructed with product contacting 
materials of polyvinyl chloride (PVC), polyolefin (PO), polyethylene (PE) and/or polypropylene (PP) by 
administering the necessary number of RoActemra 162 mg solution for injection in pre-filled syringes 
into 
an 
infusion 
bag 
to 
achieve 
the 
desired 
dosage 
to 
be 
administered.  
Example:  4 syringes of RoActemra/Actemra 162 mg solution for injection in pre-filled syringe 
administered into a 100mL i.v. infusion bag would yield a dose equivalent to 8mg/kg for a patient 
weighing 81 kg. 
 
When taken out of refrigerated storage conditions, RoActemra should be administered within 8 hours 
and should not be stored above 30 ° C. 
 
Sylvant® (Siltuximab) 400mg powder concentrate 
Source SKP FAMHP (FAGG) 
Shelf life : Diluted product: 8 hours shelf life at room temperature (after reconstitution) 
Vial should be dissolved within 60min, further dilution should be done within 2 hours 
 
Vial: Store refrigerated (2 °C - 8 °C). 
 
 
Sylvant® (Siltuximab) 100mg powder concentrate 
Source SKP FAMHP (FAGG) 
Shelf life : Diluted product: 8 hours shelf life at room temperature (after reconstitution) 
Vial should be dissolved within 60min, further dilution should be done within 2 hours 
 
Vial: Store refrigerated (2 °C - 8 °C). 
 
 
Kineret® (Anakinra) 100mg pre-filled syringe 
Source: SKP FAMHP (FAGG) 
Shelf life : Store refrigerated (2 ° C - 8 ° C). 
For ambulatory use, Kineret® may be removed from the refrigerator for a period of 12 hours at 
temperatures up to 25 ° C, without exceeding the expiration date. At the end of this period, the drug  
should not be put back in the refrigerator and should be destroyed. 
 
 
Dosing and administration : 
 
Dose justification 
In this trial, we are targeting patients with COVID-19 and signs of a beginning cytokine storm (reflected 
by increasing ferritin, CRP, LDH and D-dimers and declining lymphocytes).  In this phase of the disease, 
the levels of cytokines IL-1 and IL-6 are still in the range also found in patients with rheumatoid arthritis.  


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Therefore, the dosing of the IMPs is taken from the SKP FAMHP, by analogy with indications in 
rheumatoid arthritis and Castelman’s disease. 
 
 
ROACTEMRA®  
will be given via single IV infusion at a dose of 8 mg/kg with a maximum infusion of 800 mg/injection 
8mg / kg (= 0.4ml / kg) in an infusion of 100ml NaCl 0.9% and administration over 1 hour. If Roactemra® 
is directly prepared from the vials for IV injection: no further specifications regarding the use of a 0.2 
or 0.22 filter when administered.  When the Roactemra® IV infusion bag is prepared from prefilled 
syringes , use a PO, PE, PP, PBD or PUR infusion line with 0.2 or 0.22 µm PES or PS filter during 
administation. As a measure of precaution, an inline filter is mandatory. 
 
SYLVANT ® 
Will be given via single IV infusion at a dose of 11 mg / kg given over 1 hour as an intravenous infusion 
in glucose 5% (Ad-preparation: the same volume of product must be withdrawn from the infusion 
before adding the Sylvant®) 
Administer via using PVC, or polyurethane (PU), or PE coated administration sets with a 0.2-micron in-
line polyethersulfone (PES) filter. 
 
KINERET® 
Will be given 1x / day 100 mg SC 28 days (or until discharge from hospital) 
Do not shake. Allow the pre-filled syringe to reach room temperature before the injection. 
Subcutaneous injection; It is recommended that the injection site would be varied to avoid discomfort 
at the site of injection. Cooling the injection site, prewarming/preheating the injection liquid to reach 
room temperature, use of cold packs (before and after the injection) and use of topical glucocorticoids 
and antihistamines after injection may reduce the signs and symptoms of the reaction at the injection 
site. 
 
7.1.4. Permitted dose adjustments and interruption of treatment 
Dose adjustment is permitted for KINERET®, in case kidney function falls below 30 ml/min GFR. In this 
case dosing frequency needs to be adjusted to 100mg once every other day (q2d). 
No dose interruptions are permitted during this trial.  In case of anaphylaxis or severe AE, the drug will 
be immediately interrupted. Since anaphylaxis to protein drugs like tocilizumab or siltuximab or 
anakinra is hard to predict and can occur already to very low doses in case of prior anaphylaxis, we will 
not attempt a subsequent dose reduction.  
 
7.1.5. Duration of treatment 
Maximum 28 days 
Anakinra: max 28 days SC treatment (or until hospital discharge whichever comes first) 
Tocilizumab: single IV injection 
Siltuximab: single IV injection 
 
 


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7.1.6. Packaging and Labeling of the IMP 
The IMPs will be purchased from commercial stocks of manufacturers and dispatched to all 
participating centers  by the central hospital pharmacy of UZ Gent. Study medication will be relabelled 
at the pharmacy of every participating centers per instruction and approval of FAGG.  
7.1.7. Storage conditions of the IMP 
All study medication should be stored between 2 and 8 degrees Celsius. Refer to SMPC for stability 
after reconstitution. 
7.1.8. Known side effects of the medication 
Tocilizumab (ROACTEMRA®): Increased serum cholesterol, increased serum alanine aminotransferase, 
increased serum aspartate aminotransferase, infusion-related reaction.. For full list of side effects see 
package leaflet insert. 
 
Siltuximab (SYLVANT®): Edema (cardiovascular), pruritus, skin rash, weight gain, hyperuricemia, 
localized edema, upper respiratory tract infection. For full list of side effects see package leaflet insert. 
Anakinra (KINERET®): The most common side effects (which may affect more than 1 patient in 10) are 
headache, injection site reactions (redness, bruising, pain and inflammation), and increase in blood 
cholesterol. For the full list of side effects of KINERET®, see the package leaflet. KINERET® must not be 
used in people who are hypersensitive (allergic) to anakinra, to any of the other ingredients, or to 
proteins produced by Escherichia coli (a type of bacterium). KINERET® must not be started in patients 
who have neutropenia. 
 


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7.2. Concomitant / Rescue Medication 
There are no restrictions regarding concomitant/rescue medication. 
8. Study Specific Procedures 
Patients will be informed about the study by the treating physician. 
After receiving full explanation, having received sufficient time to considerer the trial, asking questions 
and receiving satisfying responses to all questions, patients will be asked to sign ICF. 
The ICF process will be performed before any other study related procedure. 
8.1. Randomisation 
In this open label trial patients will be randomized using REDCap (electronic IVRS system).  
We will use stratified permuted block randomization with varying block sizes. We will stratify according 
to center. The randomization will be done separately for the two main comparisons to reflect the 
factorial nature of the trial. 
For the comparison of Anakinra versus usual care, the allocation ratio is 1:2 (more patients in the usual 
care group). For the comparison of IL6 blockers (SYLVANT® and ROACTEMRA®) versus usual care, the 
allocation ratio is 1:2 (more patients on IL6 blockers). Within the group on IL6 blockers, there is equal 
allocation to SYLVANT® and ROACTEMRA® (1:1). 
Having two separate randomization schemes  implies we cannot guarantee the perfect randomization 
ratios. However, it will allow for more flexibility in case not all centers have access to all drugs and it 
will reduce the maximum imbalance between two groups. 
8.2. Study specific interventions 
This is a hospital based intervention trial, in which patients with COVID-19 will be randomized to be 
treated with tocilizumab, tocilizumab and anakinra, siltuximab, siltuximab and anakinra, anakinra or 
usual care. Patients with COVID-19 infection and respiratory failure are severely ill, and will require 
multiple daily clinical exams, blood sampling (including blood procalcitonin levels), vital parameter 
measurements, blood oxygenation measurements, and chest X-rays.  These are all part of the clinical 
management plan of the patients, and data stored in the electronic patient file will be used as part of 
the assessment of efficacy and safety profile of the study drugs.  
 
On screening, a blood sample will be taken, preferentially during routine blood sampling, to determine 
exclusion criteria (pregnancy, high ferritin level, LDH, D-dimers, blood lymphocyte counts, 
transaminases). 
 
On day 1, prior to tocilizumab, tocilizumab and anakinra, siltuximab, siltuximab and anakinra and 
anakinra  treatment, two tubes of blood serum (5 ml) and four tubes of EDTA tube (10 ml) will be 
collected for measuring blood cytokine and chemokine levels, and activation of immune cells. Also, an 
arterial blood gas determination via arterial puncture will be taken. If an arterial blood gas value is 
available of less than 24 hours before randomization, there’s no need to have a new ABG done on Day 
0/1. 
 
 


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On day 6, on day 15 (or on discharge, whichever is first)  two tubes of blood serum (5ml) and four tubes 
of EDTA tube (10 ml) will be collected for measuring blood cytokine and chemokine levels, and 
activation of immune cells. Also, an arterial blood gas determination via arterial puncture will be taken. 
 
On days 1, patients in various groups will receive single IV injection of SYLVANT® 11mg/kg or 
ROACTEMRA® 8mg/kg (max dose 800 mg), on top of standard of care.  
 
On days 1-28, (or until hospital discharge, whichever comes first), some patients in groups will 
additionally receive daily injection of 100 mg KINERET® subcutaneously.  If kidney function falls below 
30 ml/min GFR, dosing needs to be adjusted to 100mg once every other day (q2d). 
 
On a final clinical visit between week 10-20 two additional serum tube (5ml) and four EDTA tubes (10 
ml) will be taken. 
8.3. Overview of collected data 
1. patient demographics 
 
age, sex, day of admission, date of randomisation, date of discharge 
2. day of COVID-19 positivity, and conversion to negative test if available 
3. patient biometry 
 
weight, length, BMI 
4. Clinical and laboratory parameters on screening day and during trial 
 
-first day of illness (upper airway symptoms, fever, dyspnea) , potential source of infection 
 
-vital signs (temperature, blood pressure, heart rate, breathing rate) 
 
-pulse oximetry data (SaO2) 
-clinical blood gas sampling (PaO2, PaCO2, HCO3) measured in prone position while breathing 
room air 
-clinical chemistry sampling (ferritin, procalcitonin levels (at least 3 x/week)leukocyte formula, 
platelets, kidney and liver function, D-dimers, triglycerides) 
-Chest X-ray and/or CT characteristics and radiology clinical report 
-in case of admission to ICU : invasive monitoring data (arterial blood pressure, PCWP, 
continuous O2 saturation, continuous ECG, ventilatory parameters (tidal volume, FiO2, PEEP 
pressure, peak pressure, minute ventilation) 
-mortality and date of death 
5. All standard care drugs used during the trial and on day of enrolment of the trial, including oxygen 
flow rate. 
6. Basic clinical data on prior medical history (prior lung diseases, smoking history, prior lung function 
measurements (preferentially within 5 preceding years), prior gas exchange measurements and 
medication use will be collected from electronic medical record. 
7. Status of the patient on the 6 level ordinal scale needs to be assessed and recorded every day 
8. Study specific measurements (see table). The eCRF will be checked as to ensure that all data needed 
to assess the secondary endpoints are collected. 
 
 


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8.4. Schematic overview of the data collection & interventions 
 
Procedure 
Screening 
D1 
 D6 Or Discharge 
(whichever comes 
first) 
D15 Or Discharge 
(whichever comes 
first) 
D16 until Discharge 
 
Follow-up (10-20w 
after start treatment) 
Informed consent 
X 
  
  
  
 
Inclusion/exclusion criteria 
X 
  
  
  
 
Randomization a 
  
X 
  
  
  
 
Medical history  
X 
  
  
  
 
Lung function b 
 
 
 
 
 
X 
Physical examination b 
 
Anamnesis b  and (S)AE inquiry  
Concomitant medication 
X 
 
X 
Vital signs b, c 
X 
 
X 
Breathing frequency b 
X 
 
 
X 
Pulse oximetry b 
Xf 
 
 
X 
ECG b 
X  
 
On clinical grounds 
 
Chest X-ray and/or (HR)CT scan b 
 Xf 
 
On clinical grounds 
X d 
Routine laboratory assessments D0/1, D6, discharge/D15 and FU  
Xn 
Xo 
Xo 
 
Xb 
Xo 
Procalcitonin 3x/week until D28 
 
 
Arterial blood gas e 
Xe 
X 
X 
 
X 
Serum pregnancy test 
X 
  
  
  
  
 
Study blood sampling 
 
 2x 5 ml serum tube 
 
X 
X 
X 
 
X 
 4x 10 ml EDTA (OPTIONAL, only in selected centers) 
 
X 
X 
X 
 
X 
IMP g 
 
(X)  
 
 
 
 


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LEGEND 
Order of assessments: 
IMP should always be administered after other assessments, where possible. 
 
a As soon as all in- and exclusion criteria are checked and patient is considered eligible, patient can be randomized in IVRS. This is allowed the day before D1 in order to make practical arrangements to start 
treatment. 
 
b As per standard of care, information to be collected if available 
 
c Values between 6-10AM Includes T°C (actual  and highest last 24h), Pulse rate, Blood Pressure, Respiratory Rate, SpO2 by pulsoximetry, FiO2 and ventilator parameters (if patient admitted to ICU). Time 
window of assessment of vital signs (6-10 AM) is not applicable for the follow-up visit 
 
 
d Preferably HRCT: if this is according to the standard of care, HRCT fibrosis score should be assessed. A subjective assessment of the overall extent of normal attenuation, reticular abnormalities, 
honeycombing and traction bronchiectasis will be performed.  A reticular abnormality is defined as a collection of innumerable areas of small linear opacity. Honeycombing is defined as the presence of a 
cystic airspace measuring 3–10 mm in diameter, with 1- to 3-mm thick walls. Traction bronchiectasis is defined as irregular bronchial dilatation within the surrounding areas showing parenchymal 
abnormalities. The morphological criteria on HRCT scans include bronchial dilatation with respect to the accompanying pulmonary artery, a lack of tapering of the bronchi and the identification of bronchi 
within 10 mm of the pleural surface. The HRCT findings will be graded on a scale of 1–4 based on the classification system: 1. normal attenuation; 2. reticular abnormality; 3. traction bronchiectasis; and 4. 
honeycombing. The presence of each of the above four HRCT findings will be assessed independently in three (upper, middle and lower) zones of each lung. The upper lung zone is defined as the area of 
the lung above the level of the tracheal carina, the lower lung zone is defined as the area of the lung below the level of the inferior pulmonary vein and the middle lung zone is defined as the area of the 
lung between the upper and lower zones. The extent of each HRCT finding will be determined by visually estimating the percentage (to the nearest 5%) of parenchymal involvement in each zone. The score 
for each zone will be calculated by multiplying the percentage of the area by the grading scale score. The six zone scores will be averaged to determine the total score for each patient. The highest score is 
400 points and the lowest score is 100 points using this calculation method. The total score is the “HRCT fibrosis score”.  
 
e Mandatory: patient in upright position, after minimal 3 minutes without supplemental oxygen. In case of inability to sit upright: same position is to be used for all measurements of PaO2. In ventilated 
patients PaO2 can be taken from invasive arterial line and FiO2 taken directly from mechanical ventilation settings. If an arterial blood gas value is available of less than 24 hours before randomization, 
there’s no need to have a new ABG done on Day 0/1. 
 
f Can be done at screening if C1D1 is on same day. Should be collected < 24h prior to inclusion. 
 
g Patients randomized in the treatment group will receive Anakinra: SC treatment for 28 days (or until hospital discharge whichever comes first), alone or in combination with Tocilizumab: single IV injection 
on day 1 or Siltuximab: single IV injection on day 1. Some patients will only receive Tocilizumab: single IV injection on day 1; Some patients will only receive Siltuximab: single IV injection on day 1. 
 
h 6-point ordinal scale (score measured daily up to hospital discharge, death or the end of the study, whichever comes first): 1. Death; 2. Hospitalized, on invasive mechanical ventilation; 3. Hospitalized, on 
non-invasive ventilation or high flow oxygen devices; 4. Hospitalized, requiring supplemental oxygen; 5. Hospitalized, not requiring supplemental oxygen; 6. Not hospitalized 
 
k HScore (see https://www.mdcalc.com/hscore-reactive-hemophagocytic-syndrome): requires T°C, haemoglobin, WBC count, platelets, ferritin, triglycerides and AST (BM aspirate is not required). To be 
collected before administration of IMP. Score to be calculated based on the worst values in the previous 24h period at time of evaluation. 
 
Score assessments 
 
  
 
6-point ordinal scale h 
 daily 
X 
HScore 
X 
 
 
  
 
SOFA score l 
  
X 
 X 
X 
  
 
- 6 Minutes Walk Test b, m 
  
 
  
  
  
X 


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l SOFA Score (see https://www.mdcalc.com/sequential-organ-failure-assessment-sofa-score): requires PaO2, FiO2, platelet count, GCS, bilirubin, MAP and creatinine. Taking into account the worst value of 
each parameter available in the last 24 hours. 
 
m 6 MWT: to assess the distance walked over 6 minutes as a submaximal test of aerobic capacity/endurance. 
 
n Minimally includes triglycerides, D-dimers, ferritin, LDH, CRP, creatinine, fibrinogen, eosinophils, lymphocytes, haemoglobin, WBC count, platelets, bilirubin, procalcitonin, ALT and AST (For exclusion 
criteria, HScore and SOFA) 
 
o Should minimally include D-dimers, ferritin, LDH, CRP, creatinine, eosinophils, lymphocytes, haemoglobin, WBC count, platelets, bilirubin, procalcitonin, ALT and AST (For SOFA) 
 


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8.5. Restrictions for subjects during the study 
There are no subject restrictions during this trial.  
9. Sampling 
9.1. Types and number of samples 
D1: serum blood sample 2x 5ml, and optional EDTA blood sample, 4 x 10 ml 
D6: serum blood sample 2x5ml, and optional EDTA blood sample, 4 x 10 ml 
D15 or at discharge : serum blood sample 2x5ml, and optional EDTA blood sample, 4x10 ml 
 
W10-20 follow-up visit :serum blood sample 2x5ml, optional EDTA blood sample, 4 x 10 ml 
9.2. Timepoints of sampling 
These samples are to be taken on D1, D6 and D15 and/or discharge and on final follow up visit between 
week 10 and 20. There’s no time window allowed. 
9.3. Sample Handling & Analysis 
 
2 Serum samples (2x5 ml) will be taken during hospitalization together with the blood draw for 
standard of care on day 1, 6 and 15 or hospital discharge and safety follow up visit.  
After clotting for 30-60 minutes the samples will be processed at 1770g during 10 minutes at room 
temperature. 
6 aliquots per time point will be filled and frozen at -80°C until further analysis. 
Centrifugation and storage will be done by qualified personal at the various labs of the study centers. 
 
Multiple cytokines (including IL-1 and IL-6 and chemokines will be measured by multiplex bead based 
ELISA assay.) This will be performed by a single central lab, at a time point decided by the coordinating 
principle investigator, after consulting with the other investigators.  Samples will be shipped from the 
centers to the central lab, upon request of the coordinating principle investigator. 
 
  
OPTIONAL sampling per center 
In selected centers (to be decided by the local investigator after consulting with the coordinating 
principle investigator), additional 4x10 ml EDTA blood tubes will be taken at day 1, 6 and 15, or at 
hospital discharge and safety follow-up, for flow cytometric analysis and local research purposes. The 
investigators will purify peripheral blood mononuclear cells (PBMC) by gradient centrifugation. Results 
of these trial will be shared with the coordinating principle investigator after analysis. 
 
Amongst other, we propose to explore potentially key immunological parameters before and weekly 
after initiation of experimental therapy to determine 1) their relationship with diseases severity and 
patient characteristics; 2) their modifications by experimental therapy; 3) their relationship with 
clinical outcome. The proposal is based on the use of systems biology to 1) explore immunological 
parameters that cannot be predicted by current knowledge of the immunopathology of the disease; 


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2) integrate large numbers of parameters in order to be able to identify the most strongly associated 
with clinical parameters and with the therapeutic intervention. 
 
Flow cytometry will be performed on paraformaldehyde fixed samples. For UZ Gent, this will be done 
by Flanders Institute of Biotechnology (VIB), in one of their laboratories based at UZ Ghent. 
 
Transcriptional program of immune cell populations: EDTA blood samples will be processed to purify 
peripheral blood mononuclear cells and stained for flow cytometric analysis of number of monocytes, 
HLA-DR expression on monocytes and dendritic cells, and lymphocyte activation. 
Whole blood RNA sequencing will be performed to globally assess differences in transcriptional 
programing of immune cells between patients and modifications following therapy. These data will be 
used to identify most discordant patient groups and time points on which single cell RNA sequencing 
(CITE-Seq) will be conducted. On some samples at UZGent for example, a panel of 300 monoclonal 
antibodies coupled to oligonucleotides, developed by Martin Guilliams at VIB, will be used to identify 
and phenotype and immune cell populations that will be further analyzed for their transcriptional 
program, in collaboration with Ido Amit, Weizmann Institute. 
 
In selected centres such as UZ Ghent, the plasma fraction of the EDTA blood tube after purification of 
the PBMC’s will be used to measure SARS-CoV-2 RNA using quantitative q-RT-PCR. At UZ Ghent for 
example, this will be optimized by the virology lab of prof. Linos Vandekerckhove at UZ Gent and 
correlated if possible with viral load determined by nasopharyngeal swab detection on D1 and D6 (for 
patients simultaneously enrolled in the observational CO-VIM trial in UZ Ghent). 
 
Aliquots of left-over serum will be used for a systems analysis of COVID-19 antibodies: Biophysical 
(subclasses, Fc glycosylation) and functional properties (macrophage and neutrophil phagocytosis, NK 
cell activation, complement activation, infection enhancement) of COVID-19 specific IgG and IgA will 
be assessed. A systems serology platform has been established at the Institute for Medical 
Immunology, ULB, in collaboration with Galit Alter, Rago Institute, and Margaret Ackerman, Dartmouth 
College. 
 
9.4. Sample Storage and/or shipping 
Serum samples and frozen PBMCs will be stored at FAGG-certified biobank facilities of the participating 
research centres. 
Storage conditions: -80°C 
9.5. Future use of stored samples 
Initially samples will be stored for the use as described within this protocol. If at a later time point 
samples will be stored for future use, they will be stored in FAGG certified biobank. 
 


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10. 
Statistical Considerations 
10.1. Sample Size Calculation 
The study was powered to detect the two main effects of the 2x2 factorial design, assuming there is 
no effect modification (no interaction between the different treatments). 
The first main effect relates to the comparison of IL-6 blockade treatment (SYLVANT® and 
ROACTEMRA® groups combined) with no IL-6 blockade treatment (usual care or IL-1 blockade 
treatment only) (2:1). To achieve at least 80% power to detect an improvement in median time to 
clinical improvement from 12 days to 8 days (corresponding to a hazard ratio of 1.5) at a two-sided 
significance level of 5%, assuming an allocation ratio of 1:2, we need 215 events (i.e. increase of two 
points on the 6-category ordinal scale or live discharge from the hospital). With an accrual period of 
24 days and a follow-up period for the last patient of 28 days, we would need 333 patients to observe 
215 events, assuming 30% of patients are not susceptible to clinical improvement.   
The second main effect relates to the comparison of the IL-1 blockade treatment (KINERET®) with no 
IL-1 blockade treatment (usual care or IL-6 blockade treatment only) (1:2). To achieve at least 80% 
power to detect an improvement in median time to clinical improvement from 12 days to 8 days 
(corresponding to a hazard ratio of 1.5) at a two-sided significance level of 5%, assuming an allocation 
ratio of 2:1, we need 215 events (i.e. increase of two points on the 6-category ordinal scale or live 
discharge from the hospital). With an accrual period of 24 days and a follow-up period for the last 
patient of 28 days, we would need 342 patients to observe at least 215 events, assuming 30% of 
patients are not susceptible to clinical improvement.  
The total number of patients needed to recruit is 342 patients. 
The Schoenfeld approach was used to calculate the number of events. This was translated into a 
number of patients assuming the exponential distribution holds. Non-susceptibility was taken into 
account using the simple inflation method. Sample size calculations were performed using R version 
3.6.1 (2019-07-05). 
For time to event endpoints, it is the number of events that drives the power, not the number of 
patients. Therefore, it is more important to observe the required number of events (clinical 
improvements) than to randomize the calculated needed number of patients.  
Hence, randomization will stop either when 342 patients have been randomized or when between 215 
and 246 events (clinical improvements) have been observed, whichever comes first and leads to the 
smallest number of patients. 
At least 215-246 events (i.e. increase of two points on the 6-category ordinal scale or live discharge 
from the hospital) are needed to achieve at least respectively 80-85% power to detect an improvement 
in median time to clinical improvement from 12 days to 8 days (corresponding to a hazard ratio of 1.5) 
at a two-sided significance level of 5%, with an allocation ratio of 1:2 (or 2:1). 
10.2. Type of statistical methods 
Primary analysis 
For each of the two main comparisons, the primary analysis is based on the primary endpoint defined 
as the time from randomisation until clinical improvement defined as either an increase of at least two 
points on the six-category ordinal scale (from the status at randomization) or live discharge from the 
hospital, whichever occurs first. Patients who die before having experienced clinical improvement will 


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be censored at the longest observed follow-up time seen in the study. If a patient dies after having had 
clinical improvement, we will consider this patient as a patient who reached the event of clinical 
improvement.  
 
Kaplan-Meier estimates of improvement-free survival curves will be compared between treatment 
groups with the log-rank test. The cumulative improvement rate will be plotted as a function of 
observation time. 
In addition, stratified Cox proportional hazards regression models for time to clinical improvement 
(expressed in days) will be fitted with treatment group (IL6-blockade treatment versus no IL6-blockade 
treatment OR Anakrina versus no Anakinra ) as fixed effect. Over time the use of dexamethasone has 
become part of usual care in the treatment of patients with covid19. Therefore, all models will be 
stratified for the other randomization and for dexamethasone use, to allow for a different baseline 
hazard for clinical improvement. The hazards ratio with 95% confidence interval will be estimated from 
this model.  
The primary analysis will be according to the intention-to-treat principle, including all patients 
randomized and where patients allocated to a treatment group will be analyzed as members of that 
group irrespective of their compliance to the planned course of treatment. 
Analyses will be performed using SAS software version 9.4 and R software version 4.0.2.  
Interim analysis 
Given the short duration of the study (8 weeks for recruitment + 28 days for follow-up of the last 
patient), no interim analysis for efficacy is planned. 
A Data Safety Monitoring Board has been foreseen to monitor covid-19 related academic trials initiated 
by the Ghent University Hospital. This board is independent from the COV-AID study team and has no 
conflict of interest with the trial’s outcomes. 
10.3. Statistical analysis team 
Biostatistics Unit, Faculty of Medicine and Health Science, Ghent University 
11. 
Data handling 
11.1. Method of data collection 
Subjects that are included in the study, will be assigned a unique study number upon their registration 
in REDCap. On all documents submitted to the coordinating center, sponsor or CI, patients will only be 
identified by their study number. The subject identification list will be safeguarded by the site. The 
name and any other directly identifying details will not be included in the study database. 
11.1.1. Case Report Form 
An electronic data capture (EDC) system, i.e. REDCap, will be used for data collection. Data reported 
on each eCRF should be consistent with the source data. If information is not known, this must be 
clearly indicated on the eCRF. All missing and ambiguous data will be clarified.  
Only the data required by the protocol are captured in the eCRF. The eCRFs and the database will be 
developed, based on the protocol. The final eCRF design will be approved by the Co-ordinating 
Investigator. 


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All data entries and corrections will only be performed by study site staff, authorized by the 
investigator. Data will be checked by trained personnel (monitor, data manager) and any errors or 
inconsistencies will be clarified. The investigator must verify that all data entries in the eCRF are 
accurate and correct. 
 
REDCap is provided and maintained by Vanderbilt University; a license for use was granted to the 
Health, Innovation and Research Institute (HIRUZ). REDCap is a web-based system.  
The study site staff is responsible for data entry in REDCap.  
 
11.1.2. Data directly collected in the CRF (no source available) 
N.A. 
11.2. Data storage 
The data is accessed through a web browser directly on the secure REDCap server. The server is hosted 
within the UZ Ghent campus and meets hospital level security and back-up requirements.  
 
Privacy and data integrity between the user's browser and the server is provided by mandatory use of 
Transport Layer Security (TLS), and a server certificate issued by TERENA (Trans-European Research 
and Education Networking Association). All study sites will have access to REDCap. Site access is 
controlled with IP restriction. 
11.3. Archiving of data 
The investigator and sponsor specific essential documents will be retained for at least 25 years. At that 
moment, it will be judged whether it is necessary to retain them for a longer period, according to 
applicable regulatory or other requirement(s). 
11.4. Access to data 
Direct access will be granted to authorised representatives from the Sponsor, host institution and the 
regulatory authorities to permit study-related monitoring, audits and inspections. 
Login in REDCap is password controlled. Each user will receive a personal login name and password 
and will have a specific role which has predefined restrictions on what is allowed in REDCap. 
Furthermore, users will only be able to see data of subjects of their own site. Any activity in the 
software is traced and transparent via the audit trail and log files. 
11.5. Study Data, Data Ownership and Data Sharing with KCE 
 After the completion of the study the Sponsor will transfer the pseudonymized study data set to KCE. 
KCE will request approval from the competent chamber of the Information Security Committee to have 
the relevant study data linked with IMA data by a trusted third party (TTP, eHealth platform) using the 
patient national number. 
  
The patient information and consent includes wording that the national number will be recorded on 
site by the investigator for later data linkage. The patient information and consent will also include 
that in case the patient is randomized, it is planned that a trusted third party (TTP, eHealth platform) 
will receive and use the national number to link with IMA administrative data. This data linkage is 


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planned to obtain a more complete data set that will be used for the analysis of effectiveness and cost-
effectiveness of the intervention by KCE. 
  
KCE and Sponsor have entered into a research agreement detailing the roles and responsibilities of 
each party, as well as other legal aspects of this collaboration, including the right to use and access of 
KCE to the Study Data. 
  
“Background” means any intellectual property (IP), data, materials, information owned or controlled 
by the Sponsor or a Site, and required to run this Study. Sponsor will identify such Background including 
the legal restrictions of which Sponsor or Sites are aware that may affect the use of the Background 
for the purpose of the Study or the rights granted to KCE under this Agreement. 
  
The Study Data consist of this protocol, including amendments, the electronic forms for data capture, 
including the annotations and guidance for use, the electronic database of the pseudonymized clinical 
and non-clinical data collected using data capture, including the log of changes from data entry to 
database lock, study reports based on these pseudonymized data, and any data or reports generated 
at a later stage, eg based on exploratory analyses or stored samples. 
  
“Foreground” means any Study Data, and any tangible biological, chemical and physical material and 
inventions, that are generated, acquired, discovered, conceived, developed, created, exemplified or 
derived as a result of carrying out the Clinical Study, whatever its form or nature, whether it can be 
protected or not, as well as any Foreground IP. Sponsor acknowledges that the main purpose of the 
research performed under this Agreement is to generate results that will serve the general public 
interests, and specifically the interests of the patients and public healthcare decision making bodies, 
and, therefore, undertakes not to exploit the Foreground in any way that is or could be detrimental to 
such interests. 
  
The Sponsor owns the Study Data, but provides KCE with a copy of the pseudonymized database after 
database lock as well as a royalty-free unrestricted license to use the Study Data for non-commercial 
public health related purposes as detailed in the Agreement between KCE and UZ Gent. If judged 
appropriate, KCE will introduce the request to the competent chamber of the Information Security 
Committee and arrange for the data linkage. For the sake of clarity, the linked data are not part of the 
Study Data. However, KCE will discuss with the Sponsor the results of the analyses and the reporting 
of the linked data. 
 
 
 


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12. 
Safety  
12.1. Definitions 
 
Term 
Definition 
Adverse Event (AE) 
Any untoward medical occurrence in a subject to whom a medicinal 
product has been administered, including occurrences which are not 
necessarily caused by or related to that product. 
Unexpected 
Adverse 
Event 
An adverse event, the nature or severity of which is not consistent with 
the applicable product information (e.g., Investigator's Brochure for an 
unapproved investigational product or package insert/summary of 
product characteristics for an approved product). 
Adverse Reaction (AR) 
 
An untoward and unintended response in a subject to an investigational 
medicinal product which is related to any dose administered to that 
subject. 
The phrase "response to an investigational medicinal product" means 
that a causal relationship between a study medication and an AE is at 
least a reasonable possibility, i.e. the relationship cannot be ruled out. 
All cases judged by either the reporting medically qualified professional 
or the Sponsor as having a reasonable suspected causal relationship to 
the study medication qualify as adverse reactions. 
Serious Adverse Event 
(SAE) 
A serious adverse event is any untoward medical occurrence that: 
 
results in death 
 
is life-threatening 
 
requires inpatient hospitalisation or prolongation of existing 
hospitalisation 
 
results in persistent or significant disability/incapacity 
 
consists of a congenital anomaly or birth defect 
Other ‘important medical events’ may also be considered serious if they 
jeopardise the subject or require an intervention to prevent one of the 
above consequences. 
NOTE: The term "life-threatening" in the definition of "serious" refers to 
an event in which the subject was at risk of death at the time of the event; 
it does not refer to an event which hypothetically might have caused 
death if it were more severe. 
Serious 
Adverse 
Reaction (SAR) 
An adverse event that is both serious and, in the opinion of the reporting 
Investigator, believed with reasonable probability to be due to one of the 
study treatments, based on the information provided. 
Suspected Unexpected 
Serious 
Adverse 
Reaction (SUSAR) 
A serious adverse reaction, the nature and severity of which is not 
consistent with the information about the medicinal product in question 
set out: 
 
in the case of a product with a marketing authorisation, in the 
summary of product characteristics (SmPC) for that product 


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 
in the case of any other investigational medicinal product, in the 
investigator’s brochure (IB) relating to the study in question 
 


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Attribution definitions 
An adverse event is considered associated with the use of the drug if the attribution is possible, 
probable or definitive. 
 
Not related 
An adverse event which is not related to the use of the drug. 
 
Unlikely 
An adverse event for which an alternative explanation is more likely - e.g. concomitant drug(s), 
concomitant disease(s), and/or the relationship in time suggests that a causal relationship is unlikely. 
 
Possible 
An adverse event which might be due to the use of the drug. An alternative explanation - e.g. 
concomitant drug(s), concomitant disease(s), - is inconclusive. The relationship in time is reasonable; 
therefore the causal relationship cannot be excluded. 
 
Probable 
An adverse event which might be due to the use of the drug. The relationship in time is suggestive (e.g. 
confirmed by dechallenge). An alternative explanation is less likely - e.g. concomitant drug(s), 
concomitant disease(s). 
 
Definitely 
An adverse event which is listed as a possible adverse reaction and cannot be reasonably explained by 
an alternative explanation - e.g. concomitant drug(s), concomitant disease(s). The relationship in time 
is very suggestive (e.g. it is confirmed by dechallenge and rechallenge). 
12.2. Reporting requirements 
12.2.1. AE reporting 
AE’s will be recorded from randomisation until the end of the study, as defined in section 4.2.  
Special attention will be given to those subjects who have discontinued the study for an AE, or who 
experienced a severe or a serious AE. All AE’s should be recorded in the patient’s file and in the CRF.  
12.2.2. SAE reporting 
SAE’s occurring during the entire study period will be reported as below. 
 
All serious adverse events (initial and follow up information) and pregnancies occurring during this 
study must be reported by the local Principal Investigator within 24 hours after becoming aware of the 
SAE to: 
- 
The local ethics committee (it is the responsibility of the local PI to report the local SAE’s to 
the local EC) 
- 
HIRUZ CTU of the University Hospital Ghent 
- 
The National Coordinating Investigator (in case of multicenter studies) 
This reporting is done by using the appropriate SAE form. For the contact details, see below. 
12.2.3. SUSAR reporting 
In case the Coordinating Investigator, in consultation with HIRUZ CTU, decides the SAE is a SUSAR 
(Suspected Unexpected Serious Adverse Reaction), HIRUZ CTU will report the SUSAR to the Central EC 


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and the FAMHP within the timelines as defined in national legislation. The Coordinating Investigator 
reports the SUSAR to all local PI’s. 
In case of a life-threatening and fatal SUSAR the entire reporting process must be completed within 7 
calendar days. In case of a non life-threatening SUSAR the reporting process must be completed within 
15 calendar days.  
12.3. List of contact details for safety reporting 
 
HIRUZ CTU: 
 
 
 
Ghent University Hospital 
C. Heymanslaan 10, 1K5 
9000 Ghent, Belgium 
e-mail: hiruz.ctu@uzgent.be   
Tel: 
+32 9 332 05 00 
Fax:  
+32 9 332 05 20 
 
Coordinating Investigator: 
 
Prof. dr. Bart Lambrecht 
Ghent University Hospital 
Department of pneumology 
C. Heymanslaan 10, 1K5 
9000 Ghent, Belgium 
email: bart.lambrecht@ugent.be  
Tel: 
+32 9 332 91 10 
 
12.4. Flowchart Reporting 
 
Type of Adverse Event 
Action to be taken 
AE 
List all AE’s per subject in the patient’s file and 
add this information to the CRF. 
SAE 
Notify to HIRUZ CTU within 24 hours after 
becoming aware of the SAE + add the SAE to a 
list that will be reported yearly (see section 13.8) 
SAR 
Notify to HIRUZ CTU within 24 hours after 
becoming aware of the SAE 
 HIRUZ CTU will submit to the central EC 
 study team informs company that provides 
the IMP 
SUSAR 
Notify to HIRUZ CTU within 24 hours after 
becoming aware of the SUSAR 
 HIRUZ CTU will submit to the central EC. 
 HIRUZ CTU will submit to the FAMHP 
 
 
In case the (SU)SAR occurs at a local participating site, the local PI or study team should also contact: 


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- 
The local Ethics Committee 
- 
The Co-ordinating Investigator 
12.5. Events, excluded from reporting 
COVID-19 infection is a very recent syndrome, on which few data are available. Normal symptoms and 
natural disease course symptoms that will not be reported as adverse events are dyspnea, coughing, 
malaise, fever, drop in oxygen saturation, progression to respiratory failure, progression to ARDS, drop 
in blood pressure, progression to multi-organ failure.  
12.6. Data Safety Monitoring Board (DSMB) 
All study medication is registered and used in current practice. Despite the known safety profile of the 
study medications and study design, a DSMB is foreseen. 
12.7. Development Safety Update Report 
The Coordinating Investigator will provide DSURs once a year throughout the clinical study, or on 
request, to the Competent Authority (FAMHP in Belgium), Ethics Committee and Sponsor. This DSUR 
will include all SAE’s (who were not categorized as SAR’s and were not immediately reported to the 
EC). 
The report will be submitted within 60 days after the start of the study, and will subsequently be 
submitted each year until the study is declared ended.   
HIRUZ CTU can provide a template that can be used to complete this DSUR. 
 
 


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13. 
Monitoring/Auditing/Inspection 
13.1. Monitoring 
13.1.1. General 
Monitoring of the study will be performed in compliance with GCP E6(R2) and the applicable regulatory 
requirements. The study team will be trained in an initiation visit by the monitor. A training and 
delegation log will be held. A detailed description of the monitoring tasks can be found in the latest 
version of the (study-specific) ‘Monitoring plan’. 
 
13.1.2. Monitoring team 
Monitoring services will be provided by HIRUZ CTU. All relevant contact details (e.g. primary contact 
person, can be found in the ‘Monitoring plan’. 
 
13.1.3. Scope 
Monitoring services will consist of the following (non-exhaustive list): 
- review of informed consents and the followed process 
- check on recruitment status 
- checking for protocol deviations/violations 
- checking GCP compatibility 
- check on safety reporting compliance 
- IMP handling and storage 
- review of study data 
… 
13.2. Inspection 
This study can be inspected at any time by regulatory agencies during or after completion of the study. 
Therefore access to all study records, including source documents, must be accessible to the inspection 
representatives. Subject privacy must be respected at all times, in accordance to GDPR, GCP and all 
other applicable local regulations. 
The investigator/study team should immediately notify the sponsor if he or she has been contacted by 
a regulatory agency concerning an upcoming inspection. 
13.3. Protocol Deviation policy 
Sponsor and all investigators agree to take any reasonable actions to correct protocol 
deviations/violations noted during monitoring/inspection, in consultation with the monitoring team. 
All deviations must be documented on a protocol deviation log by the study team that is kept available 
at any time for monitoring/inspection purposes. Under emergency circumstances, deviations from the 
protocol to protect the rights, safety or well-being of human subjects may proceed without prior 
approval of the sponsor and the EC. 


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13.4. Serious breach to GCP and/or the protocol 
Critical issues that significantly affect patient safety, data integrity and/or study conduct should be 
clearly documented and will be communicated with the Coordinating Investigator, HIRUZ CTU and 
possibly both the applicable Ethics Committee(s) and Competent authority. (Please contact HIRUZ CTU 
asap in case of a serious breach: hiruz.ctu@uzgent.be and/or +3293320500). 
Early determination of the study (in a specific center or overall) may be necessary in case of major non-
compliance. 
 


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14. 
Ethical and legal aspects 
14.1. Good Clinical Practice 
The study will be conducted cfr the latest version of the ICH E6 (R2) GCP guidelines, creating a standard 
for the design, conduct, performance, monitoring, auditing, recording, analyses and reporting of 
clinical studies that provides assurance that the data and reported results are accurate and that the 
rights, integrity and confidentiality of study subjects are protected. 
14.2. Informed Consent 
Eligible subjects may only be included in the study after providing written (witnessed, if needed) 
Ethics Committee-approved informed consent, or, if incapable of doing so, after such consent has been 
provided by a legally acceptable representative(s) of the subject. 
Informed consent must be obtained before conducting any study-specific procedures (as described in 
this protocol).  
 
Prior to entry in the study, the investigator must explain to potential subjects or their legal 
representatives the study and the implication of participation. Subjects will be informed that their 
participation is voluntary and that they may withdraw consent to participate at any time. Participating 
subjects will be told that their records may be accessed by competent authorities and by authorized 
persons without violating the confidentiality of the subject, to the extent permitted by the applicable 
law(s) and/or regulations. By signing the Informed Consent Form (ICF), the subjects or legally 
acceptable representatives are authorizing such access. 
After this explanation and before entry to the study, written, dated and signed informed consent 
should be obtained from the subject or legally acceptable representative. The ICF should be provided 
in a language sufficiently understood by the subject. Subjects must be given the opportunity to ask 
questions. 
The subject or legally acceptable representative will be given sufficient time to read the ICF and to ask 
additional questions. After this explanation and before entry to the study, consent should be 
appropriately recorded by means of either the subject's or his/her legal representative's dated 
signature or the signature of an independent witness who certifies the subject's consent in writing. 
After having obtained the consent, a copy of the ICF must be given to the subject. 
In case the subject or legally acceptable representative is unable to read, an impartial witness must 
attest the informed consent. 
Subjects who are unable to comprehend the information provided or pediatric subjects can only be 
enrolled after consent of a legally acceptable representative. 
The following information should be added to the electronic patient dossier (EPD):   
• 
which version of the ICF was obtained 
• 
who signed the ICF  
• 
if sufficient time has been given to consider participation into the study 
• 
which investigator obtained ICF with the date of signature 
• 
if a copy was provided to the patient 
• 
start and end of participation in the study 
 


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14.3. Approval of the study protocol 
14.3.1. General 
The protocol has been reviewed and approved by the Ethics Committee of the Ghent University 
(Hospital), designated as the central Ethics Committee, after consultation with the local Ethics 
Committees, and the Federal Agency for Medicine and Health Products (FAMHP). This study cannot 
start before both approvals have been obtained. 
 
14.3.2. Protocol amendments 
Any significant change or addition to the protocol can only be made in a written protocol amendment 
that must be approved by the Central Ethics Committee (and the FAMHP if applicable). 
Only amendments that are intended to eliminate an apparent immediate safety threat to patients may 
be implemented immediately. 
Notwithstanding the need for approval of formal protocol amendments, the investigators are expected 
to take any immediate action, required for the safety of any subject included in this study, even if this 
action represents a deviation from the protocol. These actions should always be notified to the 
sponsor. 
 
14.4. Confidentiality and Data Protection 
All study data will be handled in accordance with the law on General Data Protection Regulation (GDPR) 
and institutional rules 
[Belgian law dated on 30 July 2018 and 22 Aug. 2002]. 
 
The collection and processing of personal data from subjects enrolled in this study will be limited to 
those data that are necessary to fulfil the objectives of the study. These data must be collected and 
processed with adequate precautions to ensure confidentiality and compliance with applicable data 
privacy protection laws and regulations. 
  
Appropriate technical and organizational measures to protect the personal data against unauthorized 
disclosures or access, accidental or unlawful destruction, or accidental loss or alteration must be put 
in place. Sponsor and site personnel whose responsibilities require access to personal data agree to 
keep the identity of subjects confidential. 
The informed consent obtained from the subject includes explicit consent for the processing of 
personal data and for the investigator/institution to allow direct access to his or her original medical 
records (source data/documents) for study-related monitoring, audit, Ethics Committee review and 
regulatory inspection. This consent also addresses the transfer of the data to other entities, if 
applicable. 
 
Privacy and confidentiality of data generated in the future on stored samples will be protected by the 
same standards applicable to all other clinical data. 
Stored samples will be pseudonymized throughout the sample storage and analysis process and will 
not be labelled with personal identifiers. 
 
 


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14.5. Liability and Insurance 
The sponsor has taken a no fault insurance for this study, in accordance with the relevant legislation 
(article 29, Belgian Law of May 7, 2004). 
Sponsor: 
Ghent 
University 
Hospital  
Insurance Details: Allianz Global Corporate & Specialty; Uitbreidingstraat 86, 2600 Berchem; Tel: +32 
33 04 16 00 
Polis number: BEL000862 
 
14.6. End of Study Notification 
If all subjects have completed the study, a notification of the end of the study should be submitted to 
the (Central) Ethics Committee and FAMHP. This notification should be made within 90 days of the end 
of the clinical study. In case of early termination (definition in CT-1, 4.2), this is reduced to 15 days. 


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15. 
Publication policy 
This study will be registered at ClinicalStudies.gov, and results information from this study will be 
submitted to ClinicalStudies.gov. In addition, every attempt will be made to publish results in peer-
reviewed journals. 
16. 
Reference List 
1. 
C. Wu et al., Risk Factors Associated With Acute Respiratory Distress Syndrome and Death in 
Patients With Coronavirus Disease 2019 Pneumonia in Wuhan, China. JAMA Intern Med,  
(2020). 
2. 
C. Huang et al., Clinical features of patients infected with 2019 novel coronavirus in Wuhan, 
China. Lancet 395, 497-506 (2020). 
3. 
B. Shakoory et al., Interleukin-1 Receptor Blockade Is Associated With Reduced Mortality in 
Sepsis Patients With Features of Macrophage Activation Syndrome: Reanalysis of a Prior Phase 
III Trial. Crit Care Med 44, 275-281 (2016). 
4. 
F. van Rhee et al., Siltuximab for multicentric Castleman's disease: a randomised, double-blind, 
placebo-controlled trial. Lancet Oncol 15, 966-974 (2014). 
5. 
P. Mehta et al., COVID-19: consider cytokine storm syndromes and immunosuppression. 
Lancet 395, 1033-1034 (2020). 
6. 
W. Zhang et al., The use of anti-inflammatory drugs in the treatment of people with severe 
coronavirus disease 2019 (COVID-19): The experience of clinical immunologists from China. 
Clin Immunol 214, 108393 (2020). 
7. 
D. Wang et al., Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel 
Coronavirus-Infected Pneumonia in Wuhan, China. JAMA,  (2020). 
8. 
F. Bennardo, C. Buffone, A. Giudice, New therapeutic opportunities for COVID-19 patients with 
Tocilizumab: Possible correlation of interleukin-6 receptor inhibitors with osteonecrosis of the 
jaws. Oral Oncol, 104659 (2020). 
9. 
W. H. Organization, WHO R&D Blueprint Informal consultation on the potential role of IL-6/IL-
1 antagonists in the clinical management of COVID-19 infection. WAO Website 
https://www.who.int/blueprint/priority-diseases/key-action/novel-coronavirus/en/,  (2020). 
10. 
D. Wu, X. O. Yang, TH17 responses in cytokine storm of COVID-19: An emerging target of JAK2 
inhibitor Fedratinib. J Microbiol Immunol Infect,  (2020). 
11. 
Z. Xu et al., Pathological findings of COVID-19 associated with acute respiratory distress 
syndrome. Lancet Respir Med,  (2020). 
 

SAP_001.pdf: 
COV-AID SAP 
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Page 1 of 44 
 
COV-AID Statistical Analysis Plan 
 
 
TRIAL FULL TITLE 
A prospective, randomized, factorial design, interventional 
study to compare the safety and efficacy of combinations of 
blockade of interleukin-6 pathway and interleukin-1 
pathway to best standard of care in improving oxygenation 
and short- and long-term outcome of COVID-19 patients 
with acute hypoxic respiratory failure and systemic cytokine 
release syndrome. 
SAP VERSION 
1.0 
SAP VERSION DATE 
5th March 2021 
PROTOCOL VERSION 
5.0 
PROTOCOL VERSION DATE 
3rd November 2020 
EUDRACT NUMBER 
2020-001500-41 
CLINICALTRIALS.GOV IDENTIFIER NCT04330638 
TRIAL STATISTICIAN 
Dr. Stefanie De Buyser (Biostatistics Unit, Faculty of Health 
Sciences and Medicine, Ghent University) 
TRIAL CHIEF INVESTIGATOR 
Prof. dr. Bart Lambrecht (Department of Internal Medicine 
& Pediatrics, Department of Respiratory Medicine, 
University Hospital Ghent) 
SAP AUTHOR 
Dr. Stefanie De Buyser (Biostatistics Unit, Faculty of Health 
Sciences and Medicine, Ghent University) 
SAP REVIEWERS 
Roos Colman (Biostatistics Unit, Faculty of Health Sciences 
and Medicine, Ghent University) 
Prof. dr.  Marc Buyse (Interuniversity Institute for 
Biostatistics and statistical Bioinformatics, Data Science 
Institute, 
Hasselt 
University; 
International 
Drug 
Development Institute) 
Prof. dr. Catherine Legrand (Louvain School of Statistics, 
Biostatistics and Actuarial Sciences, Faculty of Science, 
Université catholique de Louvain) 
 
 
 


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Table of Contents 
Abbreviations ................................................................................................................................... 4 
1. 
Introduction .............................................................................................................................. 5 
1.1. 
Background and rationale ................................................................................................. 5 
1.2. 
Study objectives ................................................................................................................ 5 
1.3. 
Endpoints .......................................................................................................................... 8 
2. 
Study methods ........................................................................................................................ 13 
2.1. 
Trial design ...................................................................................................................... 13 
2.2. 
Interventions ................................................................................................................... 13 
2.3. 
Type of trial ..................................................................................................................... 14 
2.4. 
Randomization ................................................................................................................ 14 
2.5. 
Sample size ...................................................................................................................... 15 
2.6. 
Hypothesis framework .................................................................................................... 18 
2.7. 
Interim analyses and data monitoring ............................................................................ 19 
2.8. 
Timing of analyses ........................................................................................................... 19 
2.9. 
Timing of assessments .................................................................................................... 20 
2.10. 
Blinding ........................................................................................................................ 21 
3. 
Statistical principles ................................................................................................................ 22 
3.1. 
Significance levels and confidence intervals ................................................................... 22 
3.2. 
Interpretation of supportive analyses ............................................................................ 23 
3.3. 
Protocol deviations, treatment adherence, eligibility .................................................... 25 
3.4. 
Analysis populations ....................................................................................................... 26 
4. 
Trial population ....................................................................................................................... 27 
4.1. 
Eligibility criteria .............................................................................................................. 27 
4.2. 
CONSORT flow diagram .................................................................................................. 28 
4.3. 
Baseline patient characteristics ...................................................................................... 30 
5. 
Definition and derivation of baseline characteristics and outcomes ..................................... 30 
6. 
Analysis ................................................................................................................................... 31 
6.1. 
Analysis methods ............................................................................................................ 31 
6.2. 
Sensitivity analyses ......................................................................................................... 34 
6.3. 
Covariates ........................................................................................................................ 35 
6.4. 
Subgroup analyses .......................................................................................................... 35 
6.5. 
Intercurrent events ......................................................................................................... 35 
6.6. 
Missing data .................................................................................................................... 37 
6.7. 
Additional exploratory analysis ....................................................................................... 38 
6.8. 
Other analyses................................................................................................................. 39 


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6.9. 
Safety analyses ................................................................................................................ 39 
6.10. 
Statistical software ...................................................................................................... 41 
6.11. 
Quality assurance of statistical programming ............................................................. 41 
7. 
Administrative information .................................................................................................... 41 
7.1. 
SAP revision history ......................................................................................................... 41 
7.2. 
Differences from protocol v5.0 ....................................................................................... 42 
7.3. 
Approval .......................................................................................................................... 43 
8. 
References .............................................................................................................................. 44 
 


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Abbreviations 
AE 
 
Adverse Event 
ALT 
 
Alanine aminotransferase 
AR 
 
Adverse Reaction 
ARDS  
Acute Respiratory Distress Syndrome 
CI 
 
Confidence Interval 
CRP 
 
C-Reactive Protein 
CTCAE  
Common Terminology Criteria for Adverse Events 
DLCO  
Diffusing Capacity of the Lung for Carbon Monoxide 
DSMB  
Data Safety Monitoring Board 
ECMO  
Extracorporeal Membrane Oxygenation 
eCRF 
 
Electronic Case Report Form 
FEV1 
 
Forced Expiratory Volume in 1 second 
FiO2 
 
Fraction of inspired oxygen 
FRC 
 
Functional Residual Capacity 
FVC 
 
Forced Vital Capacity 
HR 
 
Hazard Ratio 
ICU 
 
Intensive Care Unit 
IL 
 
Interleukin 
ITT 
 
Intention To Treat 
LDH 
 
Lactate Dehydrogenase 
PaO2 
 
Partial pressure of oxygen 
RR 
 
Risk Ratio 
RV 
 
Residual Volume 
SAE 
 
Serious Adverse Event 
SAR 
 
Serious Adverse Reaction 
SAP 
 
Statistical Analysis Plan 
SD 
 
Standard Deviation 
SOFA  
Sequential Organ Failure Assessment 
SUSAR  
Suspected Unexpected Serious Adverse Reaction 
 
 
 


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1. INTRODUCTION 
1.1. 
Background and rationale 
Coronavirus disease 2019 (COVID-19), a respiratory tract infection inflicted by a new coronavirus 
SARS-CoV-2, has evolved to a pandemic threat with unknown outcome.  
Most people with COVID-19 develop mild respiratory illness with upper airway symptoms, taste 
and smelling loss, cough, malaise and transient fever (Stage I of disease). In approximately 15% of 
patients there is a second phase of the disease. Stage II occurs after approximately 7-10 days. It is 
accompanied by increasing respiratory symptoms, persistent fever, and shortness of breath, and 
requires hospitalization. A further 5% of patients develop stage III disease that requires admission 
to an intensive care unit (ICU) mostly due to acute respiratory distress syndrome (ARDS), sepsis 
and septic shock, multiorgan failure, including acute kidney injury and cardiac injury (Huang et al.). 
As patients progress from stage I to stage III, there are increasing signs of a systemic 
hyperinflammatory response, as reflected by increased levels of cytokines, CRP and ferritin. 
A complex cytokine response that builds in infection is characterized by series of overlapping 
networks. Cytokines TNF and IL-1 and the chemotactic cytokines IL-8 and MCP-1 appear almost 
immediately after infection. This acute response is followed by a more sustained increase in IL-6. 
IL-6 is a key pro-inflammatory cytokine and an important mediator of fever and the acute phase 
response. Measurement of IL-6 concentration in peripheral blood has often been used to assess 
the intensity of systemic cytokine responses in patients with sepsis. 
There are currently no treatments directed at halting the cytokine storm and acute lung injury to 
stop the progression from manageable hypoxia to frank respiratory failure and ARDS in patients 
with COVID-19 infection. Nevertheless, preventing cytokine release syndrome and avoiding 
progression from early hypoxic respiratory failure and mild acute lung injury to ARDS could have 
a huge impact on the foreseeable overflow of the ICU units. 
We hypothesize that IL-6 and/or IL-1 are important mediators of the cytokine release syndrome 
and that blockade of IL-6 and/or IL-1 can halt the cytokine storm and acute lung injury. Therefore, 
the objective is to investigate if treatment to block IL-6 or IL-1 can reduce the time to clinical 
improvement compared to usual care in COVID-19 patients with hypoxia and signs of cytokine 
release syndrome. These two independent research questions will be examined in a multi-center 
non-blinded randomized controlled study with a 2x2  factorial design. Anakinra will be used as IL-
1 blockade treatment. Siltuximab or tocilizumab will be used as IL-6 blockade treatment. 
1.2. 
Study objectives 
1.2.1. 
Primary objectives 
The primary objectives of this study are to compare: 
A. IL-1 blockade treatment versus no IL-1 blockade treatment 
B. IL-6 blockade treatment versus no IL-6 blockade treatment 
with respect to 
- time to clinical improvement, with clinical improvement defined as either an increase of at 
least 2 points on the 6-category ordinal scale (from the status at randomization) or live 
discharge from the hospital, 
in COVID-19 patients with hypoxia and signs of cytokine release syndrome. 


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1.2.2. 
Secondary objectives 
1.2.2.1. 
Secondary objectives related to the primary endpoint 
If the overall effect of IL-6 blockade treatment compared to no IL-6 blockade treatment on time 
to clinical improvement is statistically significant, then secondary objectives are to compare: 
C. siltuximab treatment versus no IL-6 blockade treatment 
D. tocilizumab treatment versus no IL-6 blockade treatment 
with respect to 
- time to clinical improvement. 
 
If the individual effects of both siltuximab and tocilizumab compared to no IL-6 blockade 
treatment on time to clinical improvement are statistically significant, then a further secondary 
objective is to compare: 
E. siltuximab versus tocilizumab  
with respect to 
- time to clinical improvement. 
1.2.2.2. 
Secondary objectives related to secondary endpoints 
Other secondary objectives of this study are to compare: 
A. IL-1 blockade treatment versus no IL-1 blockade treatment 
B. IL-6 blockade treatment versus no IL-6 blockade treatment 
with respect to 
- oxygenation (as measured by the ratio of partial pressure of oxygen (PaO2) to fraction of 
inspired oxygen (FiO2) ) 
- all-cause mortality  
- defervescence (the absence of fever for more than 48h without antipyretics) 
- degree of illness (as measured by the Sequential Organ Failure Assessment (SOFA) score) 
- laboratory values of ferritin levels. 
 
If the overall effect of IL-6 blockade treatment compared to no IL-6 blockade treatment on a 
secondary endpoint is statistically significant, then further objectives are to compare: 
C. siltuximab treatment versus no IL-6 blockade treatment 
D. tocilizumab treatment versus no IL-6 blockade treatment 
with respect to the respective secondary endpoint. 
 
If the individual effects of both siltuximab and tocilizumab compared to no IL-6 blockade 
treatment are statistically significant on a secondary endpoint, then a further secondary objective 
is to compare: 
E. siltuximab and tocilizumab  
with respect to the respective secondary endpoint. 


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1.2.3. 
Exploratory objectives 
1.2.3.1. 
Exploratory objectives related to the primary endpoint 
- To test for an interaction between the effect of IL-1 blockade treatment and IL-6 blockade 
treatment on time to clinical improvement.  
- To test if the effect of IL-1 blockade treatment on time to clinical improvement is modified 
by serum IL-1 level at the time of randomization. 
- To test if the effect of IL-6 blockade treatment on time to clinical improvement is modified 
by serum IL-6 level at the time of randomization. 
- To test if the effect of treatment on time to clinical improvement is modified by CRP (mg/L) 
at the time of randomization. 
- To test if the effect of treatment on time to clinical improvement is modified by ventilation 
status at the time of randomization. 
1.2.4. 
Safety objectives 
To assess the overall safety of  
- IL-1 blockade treatment with anakinra, 
- IL-6 blockade treatment with siltuximab, 
- IL-6 blockade treatment with tocilizumab, 
- IL-1 blockade treatment with anakinra + IL-6 blockade treatment with siltuximab, 
- IL-1 blockade treatment with anakinra + IL-6 blockade treatment with tocilizumab, 
in terms of 
- death 
- microbiology (Nosocomial bacterial or invasive fungal infection) 
- sepsis or septic shock 
- adverse events and subclassifications thereof 
- laboratory parameters at day 1, day 6, and day 15 or discharge (whichever comes first)  
- vital signs at day 1, day 6, and day 15 or discharge (whichever comes first)  
compared to usual care with no additional treatment in COVID-19 patients with hypoxia and signs 
of cytokine release syndrome. 


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1.3. 
Endpoints 
1.3.1. 
Primary efficacy endpoint 
The primary efficacy endpoint will be the time to clinical improvement, defined as the time from 
randomization to either an increase of at least two points on a 6-category ordinal scale (from the 
worst status at day of randomization) or live discharge from the hospital, whichever occurs first. 
The 6-category ordinal scale:  
1. Death 
2. Hospitalized, on invasive mechanical ventilation or ECMO; 
3. Hospitalized, on non-invasive ventilation or high flow oxygen devices; 
4. Hospitalized, requiring supplemental oxygen 
5. Hospitalized, not requiring supplemental oxygen 
6. Not hospitalized 
Patients who do not have experienced clinical improvement by the cut-off date for the primary 
analysis, will be censored at the date of their last registered day in hospital. 
Patients who die before having experienced clinical improvement will be censored at the longest 
observed follow-up time for this event seen in the study. 
1.3.2. 
Supportive endpoints related to the primary efficacy endpoint 
To gain a better understanding of the already demonstrated effect on the primary endpoint, the 
following supportive endpoints will be examined: 
- Time to clinical improvement (expressed in days), defined as the time from randomization 
to either an increase of at least two points on an 8-category ordinal scale (from the status 
at day of randomization) or live discharge from the hospital, whichever occurs first. 
This 8-category ordinal scale (based on the WHO R&D Blueprint, 2020) makes a further 
distinction between intubation + mechanical ventilation and ventilation + additional 
organ support – pressors, renal replacement therapy, Extracorporeal Membrane 
Oxygenation (ECMO): 
1. Death 
2. Hospitalized, ventilation + additional organ support – pressors, renal replacement 
therapy, ECMO 
3. Hospitalized, intubation and mechanical ventilation 
4. Hospitalized, non-invasive ventilation or high flow oxygen 
5. Hospitalized, oxygen by mask or nasal prongs 
6. Hospitalized, no oxygen therapy 
7. Ambulatory, limitation of activities 
8. Ambulatory, no limitation of activities 
All patients with hospital discharge (score 7 or 8) will be considered to have experienced the 
event (regardless of the relative improvement on the scale). The eCRF will not record the 
presence of limitation of activities in ambulatory patients, hence no distinction between 
score 7 or 8 can be made. 


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- Time since randomization until independence from supplemental oxygen or live discharge 
from the hospital, whichever occurs first. 
- Absolute number of days without supplemental oxygen use up to 28 days after 
randomization 
- Time since randomization until independence from mechanical ventilation 
- Relative number of invasive ventilator days, relative to number of days alive the first 28 days 
after randomization 
- Time since randomization until first use of high-flow oxygen devices, non-invasive or 
invasive mechanical ventilation, or death 
- Absolute number of invasive ventilator-free days up to 28 days after randomization 
- Time since randomization until live hospital discharge 
- Absolute number of days in hospital 
- Relative number of days in hospital, relative to number of days alive the first 28 days after 
randomization 
- Absolute number of days in ICU 
- Relative number of days in ICU, relative to number of days alive the first 28 days after 
randomization 
1.3.3. 
Secondary efficacy endpoints and related supportive endpoints 
To demonstrate additional effects and / or to provide evidence that a particular mechanism 
underlies a demonstrated clinical effect, the following secondary endpoints will be interpreted. 
If an effect can be demonstrated, related supportive endpoints will also be interpreted. 
- Mean change from day 1 in PaO2/FiO2 at day 15 or discharge, whichever comes first.  
The PaO2/FiO2 ratio is measured in patients as a clinical indicator of hypoxemia. In some 
occasions it may be used as a trick for detecting an A-a gradient. The ratio is markedly 
dependent on FiO2, with room air the FiO2 is 21%.  
- Mean ferritin level at day 6 (or discharge, whichever comes first) 
- Mean SOFA score at day 6 (or discharge, whichever comes first) 
The SOFA score is a mortality prediction score calculated every 24 hours from admission 
until discharge using the worst parameters measured during the prior 24 hours. The score 
is based on the degree of dysfunction of six organ systems. It takes into account PaO2, FiO2, 
mechanical ventilation, platelet count, Glasgow Coma Scale, bilirubin concentration, mean 
arterial pressure or required administration of vasoactive agents, and creatinine 
concentration. 
Related supportive endpoints: 
o Mean slope of SOFA score over time 
o Mean SOFA score at day 15 (or discharge, whichever comes first) 
- Time since randomization until death from all causes 
Related supportive endpoints: 
o All-cause mortality at day 28 
o All-cause mortality at week 10 
In addition to the registered data in the eCRF, mortality data will also be requested 
from the national registry after long-term follow-up.  


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- Time since randomization until absence of fever for more than 48h without antipyretics or 
live hospital discharge, whichever comes first 
Related supportive endpoint: 
o Absolute number of days with fever during hospital stay since randomization 
- The first three secondary endpoints (mean change from day 1 in PaO2/FiO2 at day 15, mean 
ferritin level at day 6 , and mean SOFA score at day 6)  will be considered as key secondary 
endpoints for which correction for multiple testing will be made. 
1.3.4. 
Exploratory endpoints 
- Mean CRP at day 6 (or discharge, whichever comes first) 
1.3.5. 
Descriptive endpoints 
- Score on the 6-category ordinal scale at day 15 
- Score on the 6-category ordinal scale at 10-20 weeks 
- Mean lung fibrosis score at 10-20 weeks 
- Mean forced expiratory volume in 1 second (FEV1) at 10-20 weeks 
- Mean forced vital capacity (FVC) at 10-20 weeks 
- Mean functional residual capacity (FRC) at 10-20 weeks 
- Mean residual volume (RV) at 10-20 weeks 
- Mean diffusing capacity of the lungs for carbon monoxide (DLCO) at 10-20 weeks 
- Mean distance on the 6-minute walking test at 10-20 weeks 
1.3.6. 
Overview of efficacy endpoints 
Table 1. Efficacy endpoints according to the type of variable. 
Type of 
variable 
Endpoint 
Type of endpoint 
TIME TO 
POSITIVE EVENT 
Time to clinical improvement 
Primary 
 
Time since randomization until independence from supplemental 
oxygen or live discharge from the hospital, whichever occurs 
first. 
Supportive for the 
primary endpoint 
 
Time since randomization until independence from mechanical 
ventilation 
Supportive for the 
primary endpoint 
 
Time since randomization until live hospital discharge 
Supportive for the 
primary endpoint 
 
Time since randomization until absence of fever for more than 
48h without antipyretics or live hospital discharge, whichever 
comes first 
Secondary 
TIME TO 
NEGATIVE EVENT 
Time since randomization until first use of high-flow oxygen 
devices, non-invasive or invasive mechanical ventilation, or death  
Supportive for the 
primary endpoint 
 
Time since randomization until death from all causes 
Secondary 
COUNT OF 
POSITIVE DAYS 
Absolute number of invasive ventilator-free days up to 28 days 
after randomization 
Supportive for the 
primary endpoint 


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Absolute number of days without supplemental oxygen use up to 
28 days after randomization 
Supportive for the 
primary endpoint 
 
Absolute number of invasive ventilator-free days up to 28 days 
after randomization  
Supportive for the 
primary endpoint 
COUNT OF 
NEGATIVE DAYS 
Absolute number of days in hospital 
Supportive for the 
primary endpoint 
 
Absolute number of days in ICU  
Supportive for the 
primary endpoint 
 
Absolute number of days with fever during hospital stay since 
randomization 
Supportive for a 
secondary endpoint 
RATE OF 
NEGATIVE DAYS 
Relative number of invasive ventilator days, relative to number 
of days alive the first 28 days after randomization 
Supportive for the 
primary endpoint 
 
Relative number of days in hospital, relative to number of days 
alive the first 28 days after randomization 
Supportive for the 
primary endpoint 
 
Relative number of days in ICU, relative to number of days alive 
the first 28 days after randomization 
Supportive for the 
primary endpoint 
CONTINUOUS 
Mean change from day 1 in PaO2/FiO2at day 15 or discharge, 
whichever comes first 
Key secondary 
 
Mean ferritin level at day 6 (or discharge, whichever comes first) 
Key secondary 
 
Mean SOFA score at day 6 (or discharge, whichever comes first) 
Key secondary 
 
Mean slope of SOFA score over time 
Supportive for a 
secondary endpoint 
 
Mean SOFA score at day 15 (or discharge, whichever comes first) 
Supportive for a 
secondary endpoint 
 
Mean CRP at day 6 (or discharge, whichever comes first) 
Exploratory 
 
Mean lung fibrosis score at 10-20 weeks 
Descriptive 
 
Mean forced expiratory volume in 1 second (FEV1) at 10-20 
weeks 
Descriptive 
 
Mean forced vital capacity (FVC) at 10-20 weeks 
Descriptive 
 
Mean functional residual capacity (FRC) at 10-20 weeks 
Descriptive 
 
Mean residual volume (RV) at 10-20 weeks 
Descriptive 
 
Mean diffusing capacity of the lungs for carbon monoxide (DLCO) 
at 10-20 weeks 
Descriptive 
 
Mean distance on the 6-minute walking test at 10-20 weeks 
Descriptive 
BINARY  
All-cause mortality at day 28 
Supportive for a 
secondary endpoint 
 
All-cause mortality at week 10 
Supportive for a 
secondary endpoint 
ORDINAL 
Score on the 6-category ordinal scale at day 15 
Descriptive 
 
Score on the 6-category ordinal scale at 10-20 weeks 
Descriptive 


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1.3.7. 
Safety endpoints 
- 
Death 
o Time since randomization until death from any cause 
o All-cause mortality at day 28 
o All-cause mortality at week 10 
- Nosocomial bacterial or invasive fungal infection within 28 days after randomization 
- Sepsis during hospital stay 
- Septic shock during hospital stay 
- Adverse events and subclassifications thereof 
o AEs leading to death  
o AEs leading to discontinuation of study treatment  
o Suspected unexpected serious adverse reactions (SUSARs)  
o Serious adverse reactions (SARs)  
o Adverse reactions (ARs)  
o Serious adverse events (SAEs)  
o AEs not including SAEs that exceed a frequency threshold of 5% 
- Laboratory parameters at day 1, day 6, and day 15 or discharge (whichever comes first)  
o Hemoglobin (g/dL) 
o Thrombocyte count (10^3 #/µL) 
o C-reactive protein, CRP (mg/L) 
o Procalcitonin (ng/mL) 
o Creatinine (mg/dL) 
o Alanine aminotransferase, ALT (IU/L) 
o Bilirubin (mg/dL) 
o Ferritin (µg/L) 
o Arterial oxygen partial pressure, PaO2 (mmHg) 
o Fraction of inspired oxygen, FiO2 (%) 
o D-dimers (ng/mL) 
- Vital signs at day 1, day 6, and day 15 or discharge (whichever comes first) 
o Mean arterial pressure (mmHg)  
o Respiratory rate (#/min) 
o Pulse rate (#/min) 
o Highest temperature in the last 24h (°C) 
 
 


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2. STUDY METHODS 
2.1. 
Trial design 
- Superiority trial 
- Randomized controlled 2x2 factorial design 
- Non-blinded 
- Multi-center (16 participating centers) 
2.2. 
Interventions 
2.2.1. 
IL-1 blockade treatment 
2.2.1.1. 
Anakinra (KINERET®) 
Anakinra (KINERET®) is an IL-1 inhibitor binding to the IL-1 receptor. It is indicated in Europe for 
treatment of rheumatoid arthritis, cryopyrin-associated periodic syndromes and Still’s disease, a 
rare disease-causing inflammation of joints as well as rash and fever. KINERET® will be given 
1x/day 100 mg subcutaneous for 28 days (or until discharge from hospital). Dose adjustment is 
permitted for KINERET®, in case kidney function falls below 30 ml/min glomerular filtration rate. 
In this case dosing frequency needs to be adjusted to 100 mg once every other day.  
2.2.2. 
IL-6 blockade treatment 
2.2.2.1. 
Tocilizumab (ROACTEMRA®) 
Tocilizumab (ROACTEMRA®) is a humanised anti-IL6 receptor antibody approved for the treatment 
of rheumatoid arthritis, juvenile idiopathic arthritis and giant cell arteritis. It is also licensed for 
the induction of the rapid reversal of cytokine release syndrome, a form of cytokine storm caused 
by CAR-T treatment. IL-6 is a key pro-inflammatory cytokine and an important mediator of fever 
and the acute phase response. Tocilizumab prevents IL-6 from binding to soluble and cell 
associated IL-6 receptors inhibiting signalling. ROACTEMRA® will be given via single IV infusion at 
a dose of 8 mg/kg with a maximum infusion of 800 mg/injection 8 mg/kg (= 0.4 ml/kg) in an 
infusion of 100 ml NaCl 0.9% and administration over 1 hour. 
2.2.2.2. 
Siltuximab (SYLVANT®) 
Siltuximab (SYLVANT®) is a chimeric antibody neutralizing IL-6. It has been used in treatment of 
metastatic kidney cell tumours, prostate cancer and multicentric form of Castelman’s disease. 
SYLVANT ® will be given via single IV infusion at a dose of 11 mg/kg given over 1 hour as an 
intravenous infusion in glucose 5%. 


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2.3. 
Type of trial 
The COV-AID trial has a 2x2 factorial design with two main comparisons: 
A.  IL-1 blockade treatment versus no IL-1 blockade treatment 
B. IL-6 blockade treatment versus no IL-6 blockade treatment 
Evaluation of treatment effects in the two randomizations will be conducted independently. It is 
expected a priori that no interaction between the treatments will be identified. 
Conditionally on IL-6 blockade treatment reaching statistical significance, the trial has a 2x3 
factorial design. Secondary comparisons are: 
C. siltuximab treatment versus no IL-6 blockade treatment 
D. tocilizumab treatment versus no IL-6 blockade treatment 
2.4. 
Randomization 
2.4.1. 
First randomization 
Patients will be randomized using permuted block randomization with varying block size stratified 
for center with allocation ratio 2:1 to one of the following treatment arms (in addition to usual 
care): 
• 
No additional treatment (2) 
• 
Anakinra (1) 
2.4.2. 
Second randomization 
Simultaneously, patients will be randomized using permuted block randomization with varying 
block size stratified for center with allocation ratio 1:1:1 to one of the following treatment arms 
(in addition to usual care): 
• 
No additional treatment (1) 
• 
Siltuximab (1) 
• 
Tocilizumab (1) 
 
Figure 1. Schematic overview of the two randomizations. 


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2.5. 
Sample size 
The study was powered to detect the two main effects of the 2x2 factorial design, assuming there 
is no effect modification (no interaction between the randomized treatments). 
The first main effect relates to the comparison of the IL-1 blockade treatment (KINERET®) with no 
IL-1 blockade treatment (usual care or IL-6 blockade treatment only) (1:2). To achieve at least 80% 
power to detect an improvement in median time to clinical improvement from 12 days to 8 days 
(corresponding to a hazard ratio (HR) of 1.5) at a two-sided significance level of 5%, assuming an 
allocation ratio of 2:1, we need 215 events (i.e. increase of two points on the 6-category ordinal 
scale or live discharge from the hospital). It was originally planned that to have an accrual period 
of 24 days and a follow-up period for the last patient of 28 days. Accordingly, we would need 342 
patients to observe at least 215 events, assuming 30% of patients are not susceptible to clinical 
improvement.  
The second main effect relates to the comparison of IL-6 blockade treatment (SYLVANT® and 
ROACTEMRA® groups combined) with no IL-6 blockade treatment (usual care or IL-1 blockade 
treatment only) (2:1). To achieve at least 80% power to detect an improvement in median time to 
clinical improvement from 12 days to 8 days (corresponding to an HR of 1.5) at a two-sided 
significance level of 5%, assuming an allocation ratio of 1:2, we need 215 events (i.e. increase of 
two points on the 6-category ordinal scale or live discharge from the hospital). It was originally 
planned to have an accrual period of 24 days and a follow-up period for the last patient of 28 days. 
Accordingly, 333 patients would have to be randomised to observe 215 events, assuming 30% of 
patients are not susceptible to clinical improvement.  
The Schoenfeld approach was used to calculate the number of events. This was translated into a 
number of patients assuming the exponential distribution holds. Non-susceptibility was taken into 
account using the simple inflation method. Sample size calculations were performed using R 
version 3.6.1 (2019-07-05). 
haz0 <- -log(0.50)/12 
haz1 <- -log(0.50)/8 
HR <- haz1/haz0 
FT <- 28 # Follow-up period of last patient 
AT <- 24 # Initial estimated accrual period 
end <- FT + AT 
p <- 1/3 # treatment allocation ratio for Anakinra 
alpha <- 0.05 
power <- 0.80 
pi.cure <- 0.30 # Proportion of patients that "cures" 
# Schoenfeld approach to calculate the number of events 
d <- ceiling( ((qnorm(1-alpha/2)+qnorm(power))^2 ) / (p*(1-
p)*(log(HR))^2) ) 
# Translating d to N assuming the exponential distribution holds 
p0 <- round(1 - ((exp(-haz0*FT)*(1-exp(-haz0*AT))) / (haz0*AT)), 3) # 
event rate in the control group 
p1 <- round(1 - ((exp(-haz1*FT)*(1-exp(-haz1*AT))) / (haz1*AT)), 3) # 
event rate in the experimental group 
ss <- ceiling(d/ (p0*(1-p) + p*p1)) 
# Simple inflation method to take into account 30% non-susceptibility 
ass <- ceiling(ss/(1-pi.cure)/9)*9 


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As shown in the figure below, at least 215-246 events (i.e. increase of two points on the 6-category 
ordinal scale or live discharge from the hospital) are needed to achieve at least 80-85% power 
respectively to detect an improvement in median time to clinical improvement from 12 days to 8 
days (corresponding to an HR of 1.5) at a two-sided significance level of 5%, with an allocation 
ratio of 1:2 (or 2:1). 
For time to event endpoints, it is the number of events that drives the power, not the number of 
patients. Therefore, it is more important to observe the required number of events (clinical 
improvements) than to randomize the calculated needed number of patients. Hence, 
randomization was planned to stop either when 342 patients had been randomized or when 215-
246 events (clinical improvements) had been observed, whichever came first and led to the 
smallest number of patients.  
The actual accrual and follow-up periods were longer than originally intended. Three hundred and 
forty two  (342) patients were randomized between April 4th and December 6th 2020, 
corresponding to an actual accrual period of 247 days instead of the anticipated 24 days. Follow-
up was still ongoing on February 24th 2021, corresponding to a follow-up period exceeding 80 days, 
instead of the anticipated 28 days. Due to the longer accrual and follow-up periods, the observed 
number of clinical improvements is expected to exceed 215 events, leading to more than 80% 
power to detect a treatment effect. 
 
 
Figure 2. Number of events needed as a function of the wanted power. 


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Figure 3. Number of events needed as a function of the clinically relevant hazard ratio to detect. 
 
Figure 4. Number of patients needed to observe 215 events as a function of the expected median time to event 
in the usual care group. 


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2.6. 
Hypothesis framework 
For all endpoints, the null hypothesis for the two main comparisons will be that there is no true 
difference in effect between any of the treatment arms. 
Table 2. Overview of the hypothesis frameworks according to comparison. 
Comparison 
Null hypothesis 
Framework 
 IL-1 BLOCKADE TREATMENT VS. NO IL-1 BLOCKADE TREATMENT 
No true difference 
Superiority 
IL-6 BLOCKADE TREATMENT VS. NO IL-6 BLOCKADE TREATMENT 
No true difference 
Superiority 
SILTUXIMAB VS. NO IL-6 BLOCKADE TREATMENT 
No true difference 
Superiority 
TOCILIZUMAB VS. NO IL-6 BLOCKADE TREATMENT 
No true difference 
Superiority 
SILTUXIMAB VS. TOCILIZUMAB 
No equivalence 
Equivalence 
 
Figure 5. Overview of the 2x2 factorial design, sample size per arm and main comparisons. 
2.6.1. 
Equivalence limits 
If superiority of IL-6 blockade treatment versus no IL-6 blockade treatment can be shown and if 
both siltuximab and tocilizumab are shown to be superior to no IL-6 blockade treatment, only then 
equivalence between siltuximab and tocilizumab will be tested. Although this trial is not powered 
to show equivalence, equivalence will be concluded in the case where the 95% CI for the HR will 
entirely lie between 0.80 and 1.25. These equivalence limits are commonly used for equivalence 
and are approximately equal to half of the superiority effect that is used to calculate the sample 
size. 


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2.7. 
Interim analyses and data monitoring 
Given the short estimated duration of the study (24 days for recruitment + 28 days for follow-up 
of the last patient), no interim analyses to stop for efficacy or futility are planned. 
A Data Safety Monitoring Board (DSMB) has been foreseen to monitor covid-19 related academic 
trials initiated by the Ghent University Hospital. This board is independent from the COV-AID study 
team and has no conflict of interest with the trial’s outcomes. All study medication is registered 
and used in current practice. 
Interim analyses for safety will not affect the type I error rate and hence will not lead to 
adjustment of the significance level. 
2.8. 
Timing of analyses 
Final analyses will occur in separate stages. They will take place shortly after the respective data 
base lock. 
The first data base lock will occur after the last randomized patient has been randomized for at 
least 28 days and after data for the relevant endpoints have been received and cleaned. During 
the first stage analysis, analyses will only be performed using the ITT population and will relate to: 
- The primary endpoint 
- Supportive endpoints related to the primary endpoint (except for clinical improvement 
using the 8-category ordinal scale) 
- One of the secondary endpoints: Time since randomization until death from all causes  
- Supportive endpoints related to this secondary endpoint: All-cause mortality at day 28 
- One of the descriptive endpoints: Score on the 6-category ordinal scale at day 15 
- One of the safety endpoints: sepsis or septic shock during hospital stay 
In case the ITT analysis on the primary endpoint is not significant or in case IL-6 blockade 
treatment, siltuximab, and tocilizumab reach statistical significance on the primary endpoint, a 
second data base lock will occur shortly afterward the first. This second data base lock will occur 
when data on eligibility and treatment compliance has been cleaned. Analysis of the primary 
endpoint will be redone using the per protocol population to either gain more understanding or 
to test for equivalence between siltuximab and tocilizumab. Analysis on the ITT population will 
not be repeated. 
The final data base lock will occur after the last randomized patient has been randomized for at 
least 20 weeks and after all relevant data have been received and cleaned. Analyses will be 
performed related to: 
- Secondary endpoints and their supportive endpoints. The analysis of time since 
randomization until death from all causes will be repeated with longer follow-up using 
mortality data from the national registry if timely available. This is the only analysis from the 
first stage that will be repeated using again the ITT population. 
- Exploratory endpoints: Mean CRP at day 6 (or discharge, whichever comes first) 
- Descriptive endpoints at follow-up between 10-20 weeks post-randomization 
- Safety endpoints 
- Subgroup analyses on the primary endpoint according to serum IL-1 level and serum IL-6 
level 


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2.9. 
Timing of assessments 
All randomized participants will be followed until 10 to 20 weeks post-randomization (or death). 
To assess the primary endpoint, patients will be followed until the event of clinical improvement 
(an increase of at least 2 points on the 6-category ordinal scale from the status at randomization 
or live discharge from the hospital) has been observed, until death or until the cutoff date for the 
first data lock, whichever comes first. 
We refer to a separate document concerning the definition and derivation of baseline 
characteristics and outcomes for more clarification on which assessments are related to the 
efficacy endpoints. 
Table 3. Timing of assessments related to efficacy endpoints. 
Assessments related 
to efficacy endpoints 
Day of 
randomiza
tion 
Daily until 
discharge 
D6 or 
discharge 
D15 or 
discharge 
Start date 
End date 
Follow-up 
6-category ordinal 
scale, worst score 
x 
x 
x 
x 
NA 
NA 
x 
Arterial blood gas 
assessment for 
PaO2/FiO2 ratio  
x 
 
x 
x 
NA 
NA 
x 
Method of 
supplemental oxygen 
between 6-10AM 
x 
x 
x 
x 
 
After 
discharge 
x 
Antipyretics in the last 
24h 
x 
x 
x 
x 
NA 
NA 
x 
Highest temperature in 
the last 24h 
x 
x 
x 
x 
NA 
NA 
x 
SOFA score, evaluated 
between 6-10 AM, 
based on the worst 
values in the previous 
24h 
x 
 
x 
x 
NA 
NA 
 
Blood sampling for 
laboratory 
assessments of ferritin 
and CRP 
x 
Collected 
if available 
x 
x 
NA 
NA 
 
ICU data (including 
ARDS, ECMO, 
Glucocorticoid use) 
x 
x 
x 
x 
ARDS 
onset, ICU 
admission 
ICU 
discharge 
 
Survival status 
x 
x 
x 
x 
 
Death  
x 
Lung function test & 
fibrosis score 
 
 
 
 
NA 
NA 
x 
6 minutes walking test 
 
 
 
 
NA 
NA 
x 
 
 
 


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Table 4. Timing of assessments related to safety endpoints. 
Assessments related to 
efficacy endpoints 
Day of 
Randomi
zation 
Daily 
until 
discharge 
D6 or 
discharge 
D15 or 
discharge 
Start 
date 
End date Follow-
up 
Survival status 
x 
x 
x 
x 
 
Death  
x 
Nosocomial bacterial 
infection, invasive fungal 
infection 
x 
x 
x 
x 
 
 
 
Adverse events (including 
sepsis and septic shock) 
x 
x 
x 
x 
AE onset 
AE end 
x 
Vital signs (evaluated 
between 6-10AM during 
hospital stay) 
x 
x 
x 
x 
NA 
NA 
x 
Blood sampling for 
laboratory assessments 
x 
 
x 
x 
NA 
NA 
x 
Recording of AEs starts at the time of consent. Recording of ARs starts at the time of the first dose 
administration. AE’s are recorded until all active study subjects have completed scheduled follow 
up visits. AE information is collected systematically.  
2.10. Blinding 
This is an open-label study. While the study is in progress, access to tabular results of efficacy 
outcomes by treatment allocation will not be available to the research team and investigators. 
The DSMB and trial statistician will be unblinded for the safety outcomes. 
 
 


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3. STATISTICAL PRINCIPLES 
3.1. 
Significance levels and confidence intervals 
The two main comparisons of the primary efficacy endpoint will each be performed at the 5% 
significance level. No adjustment for multiplicity will be made, as we consider the two research 
questions to be independent. Interaction between IL-1 blockade treatment and IL-6 blockade 
treatment for the primary endpoint will be tested at the 10% significance level. 
If the overall effect of IL-6 blockade treatment is statistically significant, then the individual effects 
of siltuximab and tocilizumab are tested, using the Hochberg procedure to control the significance 
level. If the largest of the two p-values for the individual effects is smaller than 5%, both null 
hypotheses will be rejected. Otherwise, the smallest p-value will be compared with 2.5%. 
If the individual effects of both siltuximab and tocilizumab compared to no IL-6 blockade 
treatment on time to clinical improvement are statistically significant, then equivalence between 
siltuximab and tocilizumab is assessed using the 95% CI. 
Table 5. Significance level and confidence interval by comparison for the primary endpoint. 
Comparison 
Significance 
level 
Adjustment for 
multiplicity 
Reported confidence 
interval 
IL-1 blockade treatment vs. No 
IL-1 blockade treatment 
5% 
None 
95% 
IL-6 blockade treatment vs. No 
IL-6 blockade treatment 
5% 
None 
95% 
Siltuximab vs. No IL-6 blockade 
treatment 
5% or 2.5% 
Hochberg 
95% 
Tocilizumab vs. No IL-6 blockade 
treatment 
5% or 2.5% 
Hochberg 
95% 
Siltuximab vs. Tocilizumab 
/ 
None 
95% 
The two main comparisons of all key secondary efficacy endpoints will be tested using  the 
Hochberg procedure to control the type I error rate. No adjustment for multiplicity will be made 
for the main comparisons of other non-key secondary endpoints, because these non-key 
secondary endpoints are used to support the primary endpoint and/or to demonstrate additional 
effects and will only be interpreted if there is first a demonstration of a treatment effect on the 
primary endpoint. 
Comparisons of exploratory endpoints and subgroup analyses will be performed at the 5% 
significance level, but will be interpreted cautiously. 
All reported confidence intervals (CIs) for estimates of between-group effects will be 95% CIs.  


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3.2. 
Interpretation of supportive analyses 
Analyses on supportive endpoints related to the primary endpoint, non-key secondary endpoints, 
and exploratory and descriptive endpoints will only be interpreted after efficacy on the primary 
endpoint can be demonstrated (p < 0.05). If the analysis of the primary endpoint is not significant, 
the analyses on non-key secondary and supportive endpoints should be considered as hypotheses-
generating (not conclusive) and interpreted with care. In the latter case only estimates with 95% 
CIs will be provided, but no p values will be reported! 
Analyses on key secondary endpoints will be corrected for multiple testing using the Hochberg 
procedure. 
 
Figure 6. Direction of interpretation for the first randomization. 
IL-1 blockade treatment versus 
no IL-1 blockade treatment
Primary endpoint
IL-1 blockade treatment versus 
no IL-1 blockade treatment
Supportive endpoints related to
the primary endpoint
IL-1 blockade treatment versus 
no IL-1 blockade treatment
Non-key secondary endpoints
IL-1 blockade treatment versus 
no IL-1 blockade treatment
Supportive endpoints related to
the respective non-key secondary
endpoints
If p < 5%
IL-1 blockade treatment versus 
no IL-1 blockade treatment
Exploratory and descriptive
endpoints
If p < 5%
IL-1 blockade treatment versus 
no IL-1 blockade treatment
Key secondary endpoints


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Figure 7. Direction of interpretation for the second randomization. 
IL-6 blockade treatment 
versus no IL-6 blockade
treatment
Primary endpoint
IL-6 blockade
treatment 
versus no IL-6 
blockade
treatment
Supportive 
endpoints
related to the
primary
endpoint
Tocilizumab
vs. No IL-6 
blockade
treatment
Siltuximab vs. 
No IL-6 
blockade
treatment
Supportive 
endpoints
related to the
primary
endpoint
Siltuximab vs. 
Tocilizumab
Supportive endpoints
related to the primary
endpoint
If largest p < 5%
If p < 5%
IL-6 blockade
treatment 
versus no IL-6 
blockade
treatment
Non-key 
secondary
endpoints
IL-6 blockade
treatment 
versus no IL-6 
blockade
treatment
Supportive 
endpoints
related to the
respective
non-key 
secondary
endpoint
Tocilizumab
vs. No IL-6 
blockade
treatment
Siltuximab vs. 
No IL-6 
blockade
treatment
Non-key 
secondary
endpoints
Siltuximab vs. 
Tocilizumab
Non-key secondary
endpoints
If largest p < 5%
If p < 5%
IL-6 blockade
treatment 
versus no IL-6 
blockade
treatment
Exploratory
and descriptive
endpoints
Tocilizumab
vs. No IL-6 
blockade
treatment
Siltuximab vs. 
No IL-6 
blockade
treatment
Exploratory
and
descriptive
endpoints
If p < 5%
Tocilizumab vs. 
No IL-6 
blockade
treatment
Siltuximab vs. 
No IL-6 
blockade
treatment
Primary
endpoint
Siltuximab vs. 
Tocilizumab
Primary
endpoint
If largest p < 5%
If p < 5%
IL-6 blockade treatment 
versus no IL-6 blockade
treatment
Key secondary endpoints


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3.3. 
Protocol deviations, treatment adherence, eligibility 
3.3.1. 
Protocol deviations 
Protocol deviations concerning Informed Consent Form, Safety reporting, Eligibility, Trial 
assessments, Treatment deviation and others will be summarized by allocated treatment arm. 
3.3.2. 
Treatment exposure and compliance 
3.3.2.1. 
Anakinra 
For patients allocated to any of the treatment arms with anakinra, it will be assessed daily until 
discharge or day 28, whichever comes first, whether or not KINERET® was administered. The 
reasons for missed dose(s) will be specified in text form. All patients who withdraw their consent 
or refuse further treatment with anakinra (KINERET®) will be considered as not compliant 
(regardless of how many days they have actually received anakinra). Patients who do not receive 
anakinra daily because of low kidney function (doctor’s decision) are considered as compliant with 
the treatment.  
3.3.2.2. 
Siltuximab or tocilizumab 
For patients allocated to any of the treatment arms with siltuximab or tocilizumab, it will be 
assessed whether or not the single IV infusion with SYLVANT®  or ROACTEMRA®, respectively was 
administered. Patients are considered compliant when they have received a single intravenous 
infusion of SYLVANT® or ROACTEMRA®, respectively, irrespective of the dose administered. 
3.3.2.3. 
Reporting 
The frequency of patients who did not receive the allocated study treatment will be reported by 
allocated treatment arm. 
Exposure to anakinra treatment according to actual treatment arm will be characterized by the 
minimum, median and maximum duration of exposure to anakinra (days with administration).  
Compliance to treatment according to actual treatment arm will be characterized by the absolute 
frequency of patients according to the total number of missed doses and by the absolute 
frequency of patients having missed at least 1 dose. 
All patients with at least one missed dose will be listed by center together with the patient 
identifier, age, sex, actual treatment received, the number of received administrations, the 
number of missed administrations and information on whether an AE leading to discontinuation 
of study treatment occurred. 


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3.4. 
Analysis populations 
3.4.1. 
Intent-to-treat population  
The intent-to-treat population consists of all patients randomized. Subjects are analyzed according 
to the allocated treatment group irrespective of their compliance with the planned course of 
treatment. The intent-to-treat population is considered the main analysis population for analysis 
of efficacy data to assess superiority. 
For the analysis of time to event endpoints, only patients who are still at risk for the event at day 
of randomization will be included in the analyses. 
Table 6. Population at risk for events. 
Time to event endpoint 
Population at risk for the event at day of 
randomization 
Time to clinical improvement 
All randomized patients 
Time since randomization until independence from 
supplemental oxygen or live discharge from the 
hospital, whichever occurs first. 
All randomized patients who are dependent from 
supplemental oxygen at day of randomization 
Time since randomization until independence from 
mechanical ventilation 
All randomized patients who are dependent from 
invasive ventilation at day of randomization 
Time since randomization until live hospital 
discharge 
All randomized patients 
Time since randomization until absence of fever for 
more than 48h without antipyretics or live hospital 
discharge, whichever comes first 
All randomized patients with fever and/or 
antipyretic use at day of randomization 
Time since randomization until first use of high-
flow oxygen devices, non-invasive or invasive 
mechanical ventilation, or death 
All randomized patients with a score of ≥4 on the 6-
category ordinal scale at day of randomization 
3.4.2. 
Per protocol population 
The per protocol set includes the data of eligible subjects who complied with the allocated 
treatment sufficiently to ensure that these data would be likely to exhibit the effects of treatment, 
according to the underlying scientific model. 
Sensitivity analyses based on the per protocol population will be performed in case the ITT analysis 
on the primary endpoint is not significant (to gain more understanding). The per protocol 
population may also be used to assess equivalence of siltuximab and tocilizumab (conditionally on 
IL-6 blockade treatment, siltuximab, and tocilizumab reaching statistical significance). 
3.4.3. 
Safety population 
The safety analysis set includes the available data of all subjects who were randomized and 
received at least one dose of study treatment. Patients will be analyzed according to the treatment 
which they actually received. The safety population is the main analysis population for analysis of 
safety data. 
 
 


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4. TRIAL POPULATION 
4.1. 
Eligibility criteria 
4.1.1. 
Inclusion criteria 
- Recent infection with COVID-19 (≥6 days of flu-like symptoms or malaise yet ≤16 days of 
flu-like symptoms or malaise prior to randomization). 
- Confident COVID-19 diagnosis confirmed by antigen detection test and/or PCR and/or 
positive serology, or any emerging and validated diagnostic laboratory test for COVID-19 
within this period.  
In some patients, it may be impossible to get a confident laboratory confirmation 
of COVID-19 diagnosis after 24h of hospital admission because viral load is low 
and/or problems with diagnostic sensitivity. In those cases, in absence of an 
alternative diagnosis, and with highly suspect bilateral ground glass opacities on 
recent (<24h) chest-CT scan (confirmed by a radiologist and pulmonary physician 
as probable COVID-19), and a typical clinical and chemical diagnosis with signs of 
cytokine release syndrome, a patient can be enrolled as probable COVID-19 
infected. In all cases, this needs confirmation by later seroconversion.  
- Presence of hypoxia defined as PaO2/FiO2 below 350 while breathing room air in upright 
position or PaO2/FiO2 below 280 on supplemental oxygen and immediately requiring high 
flow oxygen device or mechanical ventilation. 
- Signs of cytokine release syndrome defined as ANY of the following: 
- serum ferritin concentration >1000 µg/L and rising since last 24h; 
- single ferritin above 2000 µg/L in patients requiring immediate high flow oxygen device 
or mechanical ventilation; 
- lymphopenia defined as <800 lymphocytes/µL and two of the following extra criteria: 
Ferritin > 700 µg/L and rising since last 24h / increased LDH (above 300 IU/L) and rising 
since last 24h / D-Dimers > 1000 ng/mL and rising since last 24h / CRP above 70 mg/L 
and rising since last 24h and absence of bacterial infection / if three of the above are 
present at admission, no need to document 24h rise. 
- Chest X-ray and/or CT scan showing bilateral infiltrates within last 2 days. 
- Admitted to specialized COVID-19 ward or an ICU ward taking care of COVID-19 patients. 
- Age ≥ 18 years. 
- Male or Female. 
- Women of childbearing potential must have a negative serum pregnancy test pre-dose on 
day 1. Women of childbearing potential must consistently and correctly use (during the 
entire treatment period and 3 months after last treatment) a highly effective method for 
contraception. 
- Willing and able to provide informed consent or legal representative willing to provide 
informed consent. 


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4.1.2. 
Exclusion criteria 
- Patients with known history of serious allergic reactions, including anaphylaxis, to any of the 
study medications, or any component of the product.  
- Mechanical ventilation > 24h at randomization. 
- Patient on ECMO at time of screening. 
- Clinical frailty scale above 3 (This frailty score is the patient status before first symptoms of 
COVID-19 episode). 
- Active bacterial or fungal infection. 
- Unlikely to survive beyond 48h. 
- Neutrophil count below 1500 cells/µL. 
- Platelets below 50.000/µL. 
- Patients enrolled in another investigational drug study. 
- Patients on high dose systemic steroids (> 8 mg methylprednisolone or equivalent for more 
than 1 month) for COVID-19 unrelated disorder. 
- Patients on immunosuppressant or immunomodulatory drugs. 
- Patients on current anti-IL1 or anti-IL6 treatment. 
- Signs of active tuberculosis. 
- Serum transaminase levels >5 times upper limit of normal, unless there are clear signs of 
cytokine release syndrome defined by LDH >300 IU/L and ferritin >700 ng/ml. 
- History of (non-iatrogenic) bowel perforation or diverticulitis. 
- Pregnant or breastfeeding females (all female subjects deemed of childbearing potential by 
the investigator must have negative pregnancy test at screening). 
4.2. 
CONSORT flow diagram 
The flow of participants through the trial will be summarized using a CONSORT flow diagram for 
the two randomizations separately. The flow diagrams will summarize the number of patients who 
gave consent to participate and who   
• 
were randomized  
• 
were randomized but not eligible 
• 
were allocated to intervention 
• 
received allocated intervention 
o received allocated intervention and were fully compliant 
o received allocated intervention, but were not fully compliant 
• 
did not receive allocated intervention 
o withdrew consent before receiving allocated intervention 
o other reason why the allocated intervention was not received 
• 
completed the study until hospital discharge 
• 
did not complete the study until hospital discharge 
o withdrew consent before hospital discharge 
o were transferred to a non-participating hospital 
o died in hospital 
o were still in hospital 


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o were lost to follow-up before hospital discharge 
• 
were included in the primary analysis on the primary endpoint 
o experienced clinical improvement 
o died before clinical improvement 
o withdrew consent before clinical improvement 
o were transferred to a non-participating hospital with loss to follow-up on the 
ordinal scale 
o were still in hospital without clinical improvement (administratively censored) 
o were lost to follow-up on the event for other reasons (censored) 
• 
completed the study until follow-up at 10-20 weeks 
• 
did not complete the study until follow-up at 10-20 weeks 
o withdrew consent 
o died 
o were readmitted to another hospital 
o were lost to follow-up for other reasons 
 
Figure 8. Blinded shell flow diagram for the first stage of the final analysis. 


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4.3. 
Baseline patient characteristics 
The following characteristics will be described separately for the two randomizations according to 
randomized treatment (IL-1 blockade treatment vs. no IL-1 blockade treatment | siltuximab vs. 
tocilizumab vs. no IL-6 blockade treatment). 
- 
Age at randomization (years) 
- 
Gender (male, female) 
- 
Time until randomization since COVID-19 symptoms onset (days) 
- 
Time until randomization since hospitalization (days) 
- 
Ethnicity (Caucasian, Asian, African, Arabian, other) 
- 
Body mass index (kg/m²) 
- 
Smoking status (current, former, never) 
- 
Score on the 6-category ordinal scale at day of randomization 
- 
Invasive ventilation at day of randomization (yes, no) 
- 
Admission status (ward, ICU) at day of randomization 
- 
PaO2/FiO2 ratio at day of randomization 
- 
Aa gradient (mmHg) at day of randomization 
- 
Comorbidities ongoing at time of informed consent (cancer, cardiovascular disease, 
cardiovascular risk factor, chronic kidney disease, chronic lung disease, diabetes mellitus, 
immunosuppression, severe liver disease, other disease) 
- 
Medication at day of randomization (antibiotics, antiviral medication, glucocorticoids, 
hydroxychloroquine, or other) 
- 
CRP (mg/L) at day of randomization 
- 
Eosinophil count (10^3 / µL) at day of randomization 
- 
Lymphocyte count (10^3 / µL) at day of randomization 
- 
Ferritin (µg/L) at day of randomization 
- 
D-dimers (µg/mL) at day of randomization 
- 
LDH (IU/L) at day of randomization 
- 
SOFA score at day of randomization 
- 
Method of inclusion (Single ferritin > 2000 ng/mL in patients with High flow nasal oxygen 
or mechanical ventilation, Ferritin above 1000 and rising since last 24h, Lymphopenia < 
800/_L and two extra criteria, Lymphopenia < 800/_L and three extra criteria) 
Binary and categorical variables will be described with absolute and relative frequencies. 
Continuous and integer variables will be described using the mean and standard deviation or the 
median and the 25th – 75th percentiles, depending on the distribution. There will be no tests of 
statistical significance performed nor CIs calculated for differences between randomized groups 
on any baseline variable. 
5. DEFINITION AND DERIVATION OF BASELINE CHARACTERISTICS AND OUTCOMES 
This information will be included in a separate document, written by the trial statistician and 
reviewed by the trial data manager.  


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6. ANALYSIS 
6.1. 
Analysis methods 
Table 7. Analytical approach and population-level summary by type of endpoint. 
Type of variable 
Estimator = analytical approach 
Estimate 
TIME TO EVENT 
Cox proportional hazards model stratified for the other 
randomization 
Hazard ratio 
COUNT  
Negative binomial model adjusted for the other randomization 
Expected count ratio 
RATE 
Negative binomial model adjusted for the other randomization 
with offset (log-transformed number of days alive during the 
first 28 days after randomization)  
Expected rate ratio 
CONTINUOUS 
Linear regression model adjusted for the other randomization 
Mean difference 
BINARY  
Kaplan-Meier estimates at a certain time 
/ 
ORDINAL 
Proportional odds model adjusted for the other randomization 
Odds ratio of being in a 
less favorable category 
6.1.1. 
Analysis methods for time to event endpoints 
A summary will be given according to allocated treatment of:  
- the total number of events 
- the total number of censored cases (with distinction of administrative censoring, censoring 
due to death, censoring due to withdrawal, and censoring due to loss to follow-up) 
- the median event-free survival time and 95% CI, if at least 50% of patients has reached the 
event of interest in each group. Otherwise, the 25th percentile or 10th percentile will be 
reported, if at least 25% or 10% of patients has reached the event, respectively. (obtained 
from the Kaplan-Meier curve) 
- the probability of being event-free at day 28 (Kaplan-Meier estimate) with 95% CI 
- the median follow-up time (obtained from the Kaplan-Meier curve after inverting the 
censoring indicator) 
The survival functions will be estimated non-parametrically with the Kaplan-Meier method and 
compared using the log-rank test, ignoring the other randomization. The log-log approach will be 
used to calculate the pointwise 95% CI for the survival function. For time to negative events, the 
survival function will be plotted according to allocated treatment. For time to positive events, the 
cumulative incidence function (one minus the survival function) will be plotted according to 
allocated treatment. This non-parametric analysis does not take into account the other 
randomization. 
 
 
PROC LIFETEST 
 
 
 
DATA = data_prim_analysis  
 
 
 
PLOTS = (survival(CL failure atrisk outside(0.15)))  
 
 
 
METHOD = KM CONFTYPE = LOGLOG ; 
 
 
 
TIME &Time*&Status(0); 
 
 
 
STRATA &Stratum; 
 
 
RUN; 
Cox proportional hazards models stratified for the other randomization will be fitted in order to 
obtain the HR and 95% Wald CI. The two-sided p-value from the Score test will be reported. This 
corresponds to the p-value of a stratified log-rank test. The exact method (and not Breslow’s 
approximation) will be used for construction of the likelihood for tied event times, assuming there 
is a true but unknown ordering for the tied event times. Because all time to event outcomes are 


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expressed in days, tied event times might be common as a result of this imprecise measurement 
of time. 
 
 
PROC PHREG 
 
 
 
DATA = data_prim_analysis; 
 
 
 
CLASS IL1_trt (REF = LAST) IL6_trt_bin (REF = FIRST); 
 
 
 
MODEL &Time*&Status(0) = IL1_trt 
 
 
 
 
 
 
/ TIES = exact RISKLIMITS; 
 
 
 
STRATA IL6_trt_bin; 
 
 
RUN; 
 
 
PROC PHREG 
 
 
 
DATA = data_prim_analysis; 
 
 
 
CLASS IL1_trt (REF = LAST) IL6_trt_bin (REF = FIRST); 
 
 
 
MODEL &Time*&Status(0) = IL6_trt_bin 
 
 
 
 
 
 
/ TIES = exact RISKLIMITS; 
 
 
 
STRATA IL1_trt; 
 
 
RUN;  
The proportional hazards assumption will be checked by visual inspection of the log-log survival 
curves (estimated non-parametrically with the Kaplan-Meier method). 
6.1.2. 
Analysis methods for count and rate endpoints 
Negative binomial models with a log link function adjusted for the other randomization will be 
fitted in order to obtain the estimated ratio of expected counts and 95% CI.  
 
 
PROC GENMOD 
 
 
 
DATA = data_prim_analysis; 
 
 
 
CLASS IL1_trt (REF = LAST) IL6_trt_bin (REF = FIRST); 
 
 
 
MODEL &count = IL1_trt IL6_trt_bin  
/ TYPE3 DIST = negbin LINK = log; 
 
 
 
LSMEANS IL1_trt / DIFF CL EXP ILINK; 
LSMEANS IL6_trt_bin / DIFF CL EXP ILINK; 
 
 
RUN; 
For some negative count endpoints, both the absolute count and the rate relative to the number 
of days known to be alive the first 28 days after randomization will be modelled. For the latter 
model the natural logarithm of the number of days alive the first 28 days after randomization will 
be used as offset variable. 
 
 
PROC GENMOD 
 
 
 
DATA = data_prim_analysis; 
 
 
 
CLASS IL1_trt (REF = LAST) IL6_trt_bin (REF = FIRST); 
 
 
 
MODEL &count = IL1_trt IL6_trt_bin  
/ OFFSET = LN_n_days_alive  
TYPE3 DIST = negbin LINK = log; 
 
 
 
LSMEANS IL1_trt / DIFF CL EXP ILINK; 
LSMEANS IL6_trt_bin / DIFF CL EXP ILINK; 
 
 
RUN; 


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6.1.3. 
Analysis methods for continuous endpoints 
Linear regression models with an identity link adjusted for the other randomization will be fitted 
in order to obtain the estimated mean difference and 95% CI. This is a complete case analysis, 
assuming missing data is missing completely at random. 
 
 
PROC GENMOD 
 
 
 
DATA = data_prim_analysis; 
CLASS IL1_trt (REF = LAST) IL6_trt_bin (REF = FIRST) 
IL6_trt_bin (REF = FIRST); 
MODEL &continuous = IL1_trt IL6_trt_bin / TYPE3 DIST = 
normal LINK = identity; 
 
 
 
LSMEANS IL1_trt / CL; 
 
 
 
ESTIMATE 'Effect Anakinra' IL1_trt 1 -1; 
LSMEANS IL6_trt_bin / CL; 
 
 
 
ESTIMATE 'Effect IL-6 blockade treatment'  
IL6_trt_bin 1 -1; 
 
 
 
RUN; 
As a sensitivity analysis for longitudinal endpoints, linear mixed models with a random intercept 
for patient will be fitted, adjusted for the other randomization, time point (categorical: day of 
randomization, day 6, and day 15), a two-way interaction between the first randomization and 
time point, and a two-way interaction between the second randomization and time point. The 
baseline score will be considered part of the outcome matrix. This sensitivity analysis will allow for 
missing outcome data to be missing at random. Mean profile plots will be presented alongside. 
PROC MIXED 
 
 
 
DATA = data_longitudinal_analysis; 
CLASS subjid IL1_trt (REF = LAST) IL6_trt_bin (REF = 
FIRST) Day_cat (REF = LAST); 
MODEL &continuous = IL1_trt IL6_trt_bin Day_cat 
IL1_trt*Day_cat IL6_trt_bin*Day_cat/ S; 
 
 
 
RANDOM intercept / SUBJECT = subjid; 
 
 
 
LSMEANS IL1_trt*Day_cat / CL; 
ESTIMATE 'Effect Anakinra on delta Day 15-Baseline' 
IL1_trt*Day_cat 1 0 -1 -1 0 1 / CL; 
ESTIMATE 'Effect Anakinra on delta Day 6-Baseline' 
IL1_trt*Day_cat 0 1 -1 0 -1 1 / CL; 
ESTIMATE 'Effect Anakinra on Day 15' IL1_trt 1 -1 
IL1_trt*Day_cat 1 0 0 -1 0 0 / CL; 
ESTIMATE 'Effect Anakinra on Day 6' IL1_trt 1 -1 
IL1_trt*Day_cat 0 1 0 0 -1 0 / CL; 
LSMEANS IL6_trt_bin*Day_cat / CL; 
ESTIMATE 'Effect IL-6 blockade treatment on delta Day 15-
Baseline' IL6_trt_bin*Day_cat 1 0 -1 -1 0 1 / CL; 
ESTIMATE 'Effect IL-6 blockade treatment  on delta Day 6-
Baseline' IL6_trt_bin*Day_cat 0 1 -1 0 -1 1 / CL; 
ESTIMATE 'Effect IL-6 blockade treatment on Day 15' 
IL6_trt_bin 1 -1 IL6_trt_bin*Day_cat 1 0 0 -1 0 0 / CL; 
ESTIMATE 'Effect IL-6 blockade treatment on Day 6' 
IL6_trt_bin 1 -1 IL6_trt_bin*Day_cat 0 1 0 0 -1 0 / CL; 
 
 
RUN; 


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6.1.4. 
Analysis methods for binary endpoints 
The supportive binary efficacy endpoints for the COV-AID trial  (all-cause mortality at day 28 and 
all-cause mortality at week 10) are actually time to event endpoints with a focus on a certain 
timing. Hence, Kaplan Meier estimates of survival (with log-log 95% CI) at day 28 and week 10 will 
be computed without further testing. This non-parametric analysis does not take into account the 
other randomization. 
6.1.5. 
Analysis methods for ordinal endpoints 
Proportional odds models adjusted for the other randomization will be fitted to estimate the odds 
ratio of being in a less favorable category.  
 
 
PROC LOGISTIC 
 
 
 
DATA = data_prim_analysis; 
CLASS IL1_trt (REF = LAST) IL6_trt_bin (REF = FIRST) / 
PARAM = reference; 
MODEL ordinal_scale_D15orDIS = IL1_trt IL6_trt_bin / LINK 
= clogit EXPB; 
 
 
 
ESTIMATE 'Effect Anakinra' IL1_trt 1 -1 / CL EXP; 
ESTIMATE 'Effect IL-6 blockade treatment' IL6_trt_bin 1 -
1 / CL EXP; 
 
 
RUN; 
6.2. 
Sensitivity analyses 
In addition to the analyses of supportive endpoints and the sensitivity analyses for longitudinal 
continuous endpoints as described above, the following sensitivity analyses will be performed on 
the primary endpoint . 
- Test for interaction between the two randomizations.  
It is important to recognize that this test generally has low power in a 2x2 trial designed to 
detect the main effects of IL-1 blockade treatment and IL-6 blockade treatment. However, 
if there is a significant interaction between IL-1 blockade treatment and IL-6 blockade 
treatment (p< 0.01), three pairwise comparisons to usual care with no additional treatment 
will be done (IL-1 blockade treatment alone, IL-6 blockade treatment alone, and the 
combination of IL-1 blockade treatment and IL-6 blockade treatment, compared to usual 
care with no additional treatment). No adjustment for multiple testing will be made, 
acknowledging  that the type I error rate is no longer protected. Hence, the analyses will be 
considered exploratory. This sensitivity analysis will be performed regardless of whether 
significance for the primary analysis is reached or not. 
- Analysis based on the per protocol population.  
This sensitivity analysis will be performed when the primary analysis on the ITT population 
is not significant, to gain more understanding. In case the primary analysis on the ITT 
population is significant, the per protocol population will only be used to test for 
equivalence of siltuximab and tocilizumab in case we get to that comparison (so 
conditionally on the IL-6 blockade treatment effect, siltuximab effect, and tocilizumab effect 
reaching statistical significance).  
- Analysis stratified for age category (< 65 years versus ≥ 65 years). 
This sensitivity analysis will be performed regardless of whether significance for the primary 
analysis is reached or not. 


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6.3. 
Covariates 
Because of the 2x2 factorial design, the main analyses are only adjusted for the other 
randomization. We expect no baseline differences between arms. 
6.3.1. 
Multi-center studies 
The trial will be conducted at 16 sites. Given that the number of patients (events) per center will 
be limited, it will be impracticable to include the center effects in the statistical models. In case 
not all treatments are available in all centers, patients in the control arm will only be included in a 
comparison if they could have been randomized to the corresponding active arm.  
6.4. 
Subgroup analyses 
Subgroup analyses will be performed to explore the uniformity of any treatment effect found 
overall. Heterogeneity may be identified by a significant test of the interaction term added to the 
statistical model in question. Although it should be noted that this test generally has low power in 
a trial designed to detect the main effect of treatment. Complementary, additional exploratory 
analyses within relevant subgroups will be performed and the results will be displayed graphically 
using a forest plot. 
Subgroups will be made according to  
- the allocated treatment for the other randomization 
- CRP (mg/L) at randomization (≥ rounded median versus < rounded median)   
- invasive ventilation at day of randomization (yes versus no). 
- serum IL-1 level at randomization (≥ rounded median versus < rounded median)   
- serum IL-6 level at randomization (≥ 30 pg/ml versus < 30 pg/ml) 
Subgroup analyses will be treated as hypothesis-generating. The subgroup analyses according to 
serum IL-1 and IL-6 levels will be performed at a later stage. 
6.5. 
Intercurrent events 
Intercurrent events that can potentially occur after treatment initiation and may affect the 
interpretation or the existence of measurements associated with the study objectives are 
- Death 
- Live hospital discharge 
- Transfer to a non-participating hospital 
- Use of concomitant or rescue medication, such as dexamethasone 
The table below shows the different strategies (treatment policy / composite / while on 
treatment) that will be used to address these different intercurrent events. 


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Table 8. Handling of intercurrent events. 
Type of variable 
Death 
Live hospital 
discharge 
Transfer to a non-
participating 
hospital 
Use of concomitant 
or rescue 
medication 
TIME TO POSITIVE 
EVENT 
If death occurs 
before the event: 
Censoring at longest 
observed hospital 
follow-up time 
Part of the event 
(Composite 
strategy) 
Censoring at the 
last date with 
known information 
about the event 
Disregarded 
(Treatment-policy 
strategy) 
TIME TO NEGATIVE 
EVENT 
Part of the event 
(Composite 
strategy) 
Censoring at the 
last date with 
known information 
about the event 
(this will most often 
be at discharge, 
except for time to 
death) 
Censoring at the 
last date with 
known information 
about the event 
Disregarded 
(Treatment-policy 
strategy) 
COUNT OF POSITIVE 
DAYS 
Days after death are 
not considered 
positive days 
Days from discharge 
until day 28 are 
considered positive 
days 
Disregarded 
(Treatment-policy 
strategy)  
 
Disregarded 
(Treatment-policy 
strategy) 
COUNT OF 
NEGATIVE DAYS 
Rate relative to the 
number of days 
known to be alive 
the first 28 days 
after randomization 
Days from discharge 
until day 28 are 
considered positive 
days 
Disregarded 
(Treatment-policy 
strategy)  
Disregarded 
(Treatment-policy 
strategy) 
CONTINUOUS 
Value at day of 
death (While-on-
Treatment Strategy) 
Value at day of 
discharge (While-
on-Treatment 
Strategy) 
Disregarded 
(Treatment-policy 
strategy) 
Disregarded 
(Treatment-policy 
strategy) 
BINARY  
Part of the event 
(Composite 
strategy) 
Disregarded 
(Treatment-policy 
strategy) 
Disregarded 
(Treatment-policy 
strategy) 
Disregarded 
(Treatment-policy 
strategy) 
ORDINAL 
Part of the endpoint 
(Composite 
strategy) 
Part of the endpoint 
(Composite 
strategy) 
Disregarded 
(Treatment-policy 
strategy) 
Disregarded 
(Treatment-policy 
strategy) 
6.5.1. 
Death 
For time to positive event endpoints (such as time to clinical improvement), patients who die 
before having experienced the event will be censored at the longest observed hospital follow-up 
time seen in the study, as death can be seen as a competing risk. For time to negative events, 
patients who die before having experienced the event will be considered as having reached the 
event at the time of death (composite strategy). 
For counts of positive days, the occurrence of death will be disregarded. For counts of negative 
days, both the absolute count (disregarding death) and the rate relative to the number of days 
known to be alive the first 28 days after randomization will be modelled. With the latter approach, 
patients with a small number of negative days because of early death will still have a high rate of 
negative days. 


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For binary safety endpoints other than all-cause mortality (nosocomial bacterial or invasive fungal 
infection within 28 days after randomization), the occurrence of death will be disregarded. 
For the 6-category ordinal scale, death is included in the scale (score 1). 
6.5.2. 
Hospital discharge 
For time to positive event endpoints, patients with live discharge will be considered as having 
reached the event. For time to negative events (time since randomization until first use of high-
flow oxygen devices, non-invasive or invasive mechanical ventilation, or death), patients with live 
discharge before the event has occurred will be censored at the date of live discharge. For time to 
death, the intercurrent event of live discharge will be disregarded.  
For counts of positive days, days from discharge until day 28 are considered positive days.  
For the 6-category ordinal scale, not being hospitalized is included in the scale (score 6). 
6.5.3. 
Transfer to a non-participating hospital with loss to follow-up 
When patients are transferred to a non-participating hospital, this may affect the existence of 
measurements associated with the study objectives. Even though efforts will be made to further 
collect important hospital data on these patients. For time to event endpoints, these patients will 
be censored at the last date with known information about the event (in case the event is not 
observed). When there is a complete loss to follow-up after transfer, the number of days in 
hospital and in ICU will be set to missing. 
6.5.4. 
Use of concomitant or rescue medication 
There are no restrictions regarding the use of concomitant or rescue medication. Use of additional 
treatments such as dexamethasone, will be disregarded in the analyses.  
6.6. 
Missing data 
6.6.1. 
Missing covariates and baseline characteristics 
Missing values in covariates is not an issue since they will be no adjustment for covariates.  
Missing values in the descriptive analysis of the baseline characteristics will be reported as missing. 
In case eligibility criteria are missing in the eCRF, we will assume the best case scenario, being that 
the inclusion criterion is fulfilled. 
6.6.2. 
Missing endpoints 
The proportion of endpoints is expected to be very low, as data to derive these endpoints are 
typically recorded in each hospital file. 
Monotone missing values will most often not be imputed, which is not fully in line with the ITT 
principle. Complete case analyses will assume for missing data to be missing completely at 
random. However, if possible given the type of data, statistical models that allow for missing 
outcome data to be missing at random, will be used (such as Cox proportional hazard models and 
generalized linear mixed models). 


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Table 9. Handling of missing outcome data. 
Type of variable 
Intermittent missing outcome data 
Monotone missing outcome data (not 
due to death or transfer or withdrawal) 
TIME TO EVENT 
Last value carried forward 
Censoring at the last date with known 
information about the event 
BINARY 
No imputation 
No imputation (mortality at day 28 and at 
week 10 are analyzed as time to death) 
COUNT OF POSITIVE 
DAYS 
Best case scenario imputation (days with 
missing information are considered 
positive days) 
Best case scenario imputation (days with 
missing information are considered 
positive days) 
COUNT OF NEGATIVE 
DAYS 
No imputation (days with missing 
information are  considered positive 
days) 
No imputation (days with missing 
information are  considered positive 
days) 
CONTINUOUS OR 
ORDINAL 
No imputation  
Mixed models when longitudinal data are 
collected as sensitivity analysis 
No imputation  
Mixed models when longitudinal data are 
collected as sensitivity analysis 
The last value carried forward strategy will be used for intermittent missing data on events, 
assuming a change in clinical status is more likely to be registered than a status quo. Hence, the 
time to first registration of the respective event will be used as the event time. Patients without 
observed event during the trial duration (e.g. monotone missing data due to early drop-out, but 
not due to death) will be censored at the time of last follow-up on the respective event. We 
assume this censoring is non-informative conditional on the covariates in the model.  
When data on the 6-category ordinal scale (needed to compute the primary endpoint: time to 
clinical improvement) is missing intermittently, it is assumed the value has not changed with 
respect to the last known value. Hence it is the time to the first registration of a 2-point increase 
on the 6-category ordinal scale that will be calculated. When data is missing monotone (before 
the event has been observed), the patient is censored at the last visit date with valid information 
on the 6-category ordinal scale. 
6.6.2.1. 
Withdrawal 
Data collected after day of withdrawal will not be used for analysis. Time to event endpoints will 
be censored at date of withdrawal. All count and rate endpoints will be set to missing for patients 
with withdrawal during hospital stay. Continuous and ordinal endpoints will be missing if they 
relate to a day after withdrawal. 
6.6.3. 
Missing safety data 
Safety data will not be subjected to any imputation and will be summarized on an observed case 
basis. Any missing information regarding an AE (with the exception of unknown onset or end date) 
will be queried for completion by the data managers and study monitors.  
6.7. 
Additional exploratory analysis 
Any post-hoc analysis requested by the oversight committees, a journal editor or referees will be 
labelled explicitly as such. Any further future analyses not specified in the analysis protocol will be 
exploratory in nature. 


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6.8. 
Other analyses 
In selected centers, additional blood sampling (EDTA) will take place (at day 1, day 6, day 15 or 
discharge whichever comes first, and at follow-up) for flow cytometric analysis by the Flanders 
Institute of Biotechnology. Results from flow cytometric analysis of EDTA blood samples taken at 
day 1 may be used for additional subgroup analyses. 
Local research objectives from Flanders Institute of Biotechnology are not described in this SAP. 
6.9. 
Safety analyses 
 
All safety variables will be summarized by actual treatment group using descriptive statistics. 
Statistical tests to compare differences between treatment groups regarding safety variables are 
not pre-specified. Ad-hoc tests may be performed to assess issues identified as clinically relevant 
or unexpected findings.  
6.9.1. 
Death 
A table of all anticipated and unanticipated deaths due to any cause, with the number and 
frequency of such events by actual treatment group will be provided as required by 
clinicaltrials.gov. The denominator to calculate the relative frequency will be the total population 
size.  
The survival function will be estimated non-parametrically according to actual treatment group 
with the Kaplan-Meier method; the pointwise 95% CI and numbers at risk will also be presented. 
Kaplan-Meier estimates of failure probability at day 28 will be given according to actual treatment 
group for the six arms.  
All deceased patients will be listed by center together with the patient identifier, age, sex, actual 
treatment received, date of randomization, date of death, time to death, and number of anakinra 
administrations. 
6.9.2. 
Microbiology  
The absolute and relative frequency of patients with a nosocomial bacterial or invasive fungal 
infection during hospital stay will be presented according to actual treatment received. 
The absolute and relative frequency of patients with a sepsis or septic shock during hospital stay 
will be presented according to actual treatment received. 
6.9.3. 
Adverse events 
Considered sub-classifications of AEs are: AEs leading to death, AEs leading to discontinuation of 
study treatment, SUSARs, SARs, ARs, SAEs, and AEs not including SAEs that exceed a frequency 
threshold of 5%. 
Tables of absolute and relative frequencies will be provided to summarize according to actual 
treatment group: 
- The overall number of subjects having at least one AE or any sub-classification thereof. Each 
subject will only be counted once and any repetition will be ignored; the denominator will 
be the total population size.  
- The number of subjects having at least one AE or any sub-classification thereof by body or 
organ system and preferred term drawn from the Common Terminology Criteria for Adverse 
Events (CTCAE) version 5.0. Subjects with multiple AEs with different preferred terms are 
counted more than once. 


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- The total number of AEs or any sub-classification thereof. Subjects with multiple AEs are 
counted more than once. 
- The number of subjects having at least one SAE by body or organ system, preferred term, 
grade, and relationship to study treatment (Not related or Unlikely versus Possibly, Probably 
or Definitely). Subjects with multiple SAEs with different preferred term are counted more 
than once. The most severe occurrence of a SAE, as well as the most extreme relationship 
of the SAE to the study procedures, will be indicated in cases of multiple occurrences of the 
same preferred term. 
Listings by patient will be provided for: all AEs leading to death, all AEs leading to discontinuation 
of study treatment, all AEs of sepsis, all SAEs, and all AEs. All of the above events (including the 
same event on several occasions) are listed for each patient by center together with the patient 
identifier, age, sex, actual treatment received, and the collected information regarding the AE as 
described above in this subsection. 
6.9.4. 
Clinical laboratory evaluations 
- Laboratory tests for hemoglobin, thrombocyte count, C-reactive protein, procalcitonin, 
creatinine, alanine aminotransferase, bilirubin, ferritin, PaO2, FiO2, and D-dimers are 
summarized at day 1, at day 6 and at day 15 or the day of discharge (whichever comes first) 
using boxplots by received treatment.  
- Changes in lab values from day 1 at day 6 and at day 15 or the day of discharge (whichever 
comes first) are displayed using boxplots by received treatment.  
- Spaghetti plots show the individual lab values over time and are plotted separately 
according to received treatment. 
6.9.5. 
Vital signs  
- Vital signs (mean arterial pressure, respiratory rate, pulse rate, highest temperature in the 
last 24h) are summarized at day 1, at day 6 and at day 15 or the day of discharge (whichever 
comes first) using boxplots by received treatment. 
- Changes in values from day 1 at day 6 and at day 15 or the day of discharge (whichever 
comes first) are displayed using boxplots by received treatment.  
- Spaghetti plots show the individual values over time and are plotted separately according 
to received treatment. 
6.9.6. 
Pregnancies  
Pregnancies should not occur, as pregnant females are excluded from the study and all female 
subjects deemed of childbearing potential by the investigator must have a negative pregnancy test 
at screening. Pregnancies will be recorded as AE (CTCAE code PRE003). 


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6.10. Statistical software 
The statistical software SAS version 9.4, R version 4.0.2. (2020-06-22), RStudio Version 1.3.1093 
and IBM® SPSS® Statistics version 27 (or later) will be used for the analyses. All software is available 
on Athena from Ghent University.  
6.11. Quality assurance of statistical programming  
All data, code and output documents will be saved on a shared network drive from Ghent 
University for the Biostatistics Unit of the Faculty of Medicine and Health Sciences. 
(“S:\cel\Projecten\L\Lambrecht Bart\COV AID”) 
A review statistician (Roos Colman) will have an overview of the entire analysis and will 
independently from the trial statistician (Stefanie De Buyser) compute the code for derivation of 
the primary endpoint and for the primary analyses. 
7. ADMINISTRATIVE INFORMATION 
7.1. 
SAP revision history 
Version Date 
Edited 
by 
Comments / 
justification 
Timing 
in 
relation 
to 
safety 
interim 
analyses 
Timing in 
relation to 
unblinding 
for the 
final 
analyses 
0.1 
11/01/2021 SDB 
First draft 
Post 
Prior 
0.2 
21/01/2021 SDB 
Second draft after 
meeting with the 
COV-AID team 
Post 
Prior 
0.3 
24/02/2021 SDB 
Third draft after 
feedback from the 
steering committee 
statisticians and data 
manager 
Post 
Prior 
0.4 
04/03/2021 SDB 
Forth draft after 
feedback from the 
steering committee 
statisticians, data 
manager and 
clinicians 
Post 
Prior 
0.5 
05/03/2021 SDB 
Fifth draft 
Post 
Prior 
1.0 
05/03/2021 SDB 
Final clean version 
Post 
Prior 


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7.2. 
Differences from protocol v5.0 
- Patient who do not have experienced clinical improvement and do not die, will be censored 
at the date of their last registered day in hospital with follow-up on the ordinal scale, this 
does not necessarily correspond to the date of the last follow-up visit (the latter is 
mentioned in the protocol v5.0). 
- The supportive endpoint: Absolute number of days in hospital in patients with live hospital 
discharge has been deleted. This endpoint will be examined in the total sample, irrespective 
of death. 
- The Cox proportional hazard analyses will not be stratified according to dexamethasone use 
(as usual care in the treatment of covid19 has changed over time). 
- Time since randomization until first use of salvage systemic steroids in ventilated patients 
(at time of randomization) has been deleted as a supportive endpoint for the primary 
endpoint, as systemic steroids have become part of standard care in covid19 patients. 
- The comparisons of siltuximab treatment versus no IL-6 blockade treatment, tocilizumab 
treatment versus no IL-6 blockade treatment, and siltuximab versus tocilizumab with 
respect to secondary endpoints were added to the secondary objectives related to 
secondary endpoints. 
- The endpoint all-cause mortality at week 20 has been changed to all-cause mortality at week 
10. The visit window for follow-up is between week 10 and 20 post-randomization, so hardly 
anyone will have a follow-up of 20 weeks or more. 
- Some supportive endpoints will be assessed in the entire analysis population instead of just 
in invasively ventilated patients: Relative number of invasive ventilator days, relative to 
number of days alive the first 28 days after randomization, Absolute number of days in ICU 
at day of randomization, Relative number of days in ICU, relative to number of days alive 
the first 28 days after randomization 
- Subgroup analyses according to CRP and ventilation status at day of randomization are 
added as exploratory objectives 
- Triglycerides (mg/dL) should not be assessed at day 6, day 15 or discharge, according to the 
protocol. Therefore, this safety endpoint has been deleted. 
- The supportive endpoint “Time since randomization until first use of high-flow oxygen 
devices, non-invasive or invasive mechanical ventilation, ARDS or death” has been changed 
to “Time since randomization until first use of high-flow oxygen devices, non-invasive or 
invasive mechanical ventilation, or death” (removal of ARDS), because ARDS by definition 
cannot occur in patients without ventilation. 
- Safety endpoints have been added: sepsis and septic shock during hospital stay. 
 
 


COV-AID SAP 
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Version number: 1.0 
 
 
 
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7.3. 
Approval 
I give my approval for the attached SAP. 
Trial Statistician 
SAP author 
Name: Dr. Stefanie De Buyser 
 
 
Signature: 
Date: 
Chief Investigator 
Name: Prof. dr. Bart Lambrecht 
 
 
Signature: 
Date: 
Steering Committee 
Statistician 
Name: Roos Colman 
 
 
Signature: 
Date: 
Steering Committee 
Statistician 
Name: Prof. dr. Marc Buyse 
 
 
Signature: 
Date: 
Steering Committee 
Statistician 
Name: Prof. dr. Catherine Legrand 
 
 
Signature: 
Date: 
 
 
05/03/2021
Stefanie De Buyser


COV-AID SAP 
Version date: 5th March 2021 
Version number: 1.0 
 
 
 
Page 44 of 44 
 
8. REFERENCES 
ClinicalTrials.gov Results Data Element Definitions for Interventional and Observational Studies 
(June 27, 2018) https://prsinfo.clinicaltrials.gov/results_definitions.html 
European Medicines Agency. (1998). ICH Topic E9 Statistical Principles for Clinical Trials. 
European Medicines Agency. (2020). Addendum on Estimands and Sensitivity Analysis in Clinical 
Trials To the Guideline on Statistical Principles for Clinical Trials E9(R1). 
Food and Drug Administration. (2017). Multiple endpoints in clinical trials: Guidance for industry. 
Huang et al. (2020). Clinical features of patients infected with 2019 novel coronavirus in Wuhan, 
China. Lancet 395, 497-506. 
International Conference on Harmonisation of Technical Requirements for Registration of 
Pharmaceuticals for Human Use (1996). Guidelines for Industry: Structure and Content of Clinical 
Study Reports (E3). 
International Conference on Harmonisation of Technical Requirements for Registration of 
Pharmaceuticals for Human Use (1998). Guidelines for Industry: Statistical Principles for Clinical 
Trials (E9). 
International Conference on Harmonisation of Technical Requirements for Registration of 
Pharmaceuticals for Human Use (2017). Guidelines for Industry: Statistical Principles for Clinical 
Trials: Addendum: Estimands and Sensitivity Analysis in Clinical Trials (E9(R1)). 
R Core Team (2020). R: A language and environment for statistical computing. R Foundation for 
Statistical Computing, Vienna, Austria. URL https://www.R-project.org/. 
World Health Organization (2020). WHO R&D Blueprint. Novel coronavirus. COVID-19 
Therapeutic Trial Synopsis. https://www.who.int/blueprint/priority-diseases/key-action/COVID-
19_Treatment_Trial_Design_Master_Protocol_synopsis_Final_18022020.pdf  


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