Conditions: Diabetes Mellitus, Type 1
Allocation: RANDOMIZED | Intervention model: SEQUENTIAL
Enrollment: 115
Healthy volunteers: no

Brief summary:
The purpose of this study is to evaluate the safety and efficacy of TTP399 in Type 1 diabetics. This study will be in 2 phases: phase 1 will evaluate the safety of different TTP399 dosage regimens over 1 week of daily dosing. Phase 2 will evaluate the safety and efficacy of a TTP399 dosing regimen over 12 weeks of daily dosing.

Detailed description:

Arms:
arm 1: None arm 2: None

Interventions: intervention 1: TTP399 intervention 2: TTP399 intervention 3: Placebo Oral Tablet
Intervention descriptions: intervention 1: Phase 1: Participants will receive TTP399 administered orally up to 1200 mg taken once daily for 7 days intervention 2: Phase 2: Participants will receive TTP399 administered orally 800 mg taken once daily for 12 weeks intervention 3: Phase 2: Participants will receive Placebo oral tablets for 12 weeks

Protocol document:
Prot_000.pdf: 
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SAP_001.pdf: 
vTv Therapeutics LLC 
 
TTP399-203, Part 2 Statistical Analysis Plan 
 
13 December 2019     
Confidential 
i 
STATISTICAL ANALYSIS PLAN 
 
Part 2 of Study 
Title:   
A Multi-Center, Randomized, Double-Blind, Parallel-Group, Multiple-
Dose, Adaptive Study Assessing the Pharmacokinetics, 
Pharmacodynamics, Safety, and Tolerability of TTP399 in Adult Patients 
with Type 1 Diabetes Mellitus. 
Protocol:   
TTP399-203, Amendment 5 (8 February 2019)   
Study Drug:  TTP399 
 
Sponsor:   
vTv Therapeutics LLC 
Date:   
13 December 2019 
 
 


vTv Therapeutics LLC 
 
TTP399-203, Part 2 Statistical Analysis Plan 
 
13 December 2019     
Confidential 
ii 
 
 
Version 
Number 
Document 
Date of Version 
Reason for Modification 
1 
Original Statistical Analysis Plan 
13 December 2019 
Original: no modification 
 
 
 
 
 
 
 
 
 
 
 


vTv Therapeutics LLC 
 
TTP399-203, Part 2 Statistical Analysis Plan 
 
13 December 2019     
Confidential 
iii 
Signatures: 
 
________________________________________________________________ 
  
                         
 
 
Date 
 
vTv Therapeutics LLC 
 
 
 
 
 
 
 
 
 
________________________________________________________________ 
 
 
 
 
 
 
Date 
 
vTv Therapeutics LLC 
 
 
 
 
 
    


vTv Therapeutics LLC 
 
TTP399-203, Part 2 Statistical Analysis Plan 
 
13 December 2019     
Confidential 
iv 
Table of Contents 
1 
Introduction ......................................................................................................... 1 
1.1 Adaptive Trial ..................................................................................................... 2 
1.2 Meta-analysis ...................................................................................................... 2 
1.3 Study Objectives ................................................................................................. 3 
1.4 Study Rationale ................................................................................................... 5 
1.5 Subject Population .............................................................................................. 6 
1.6 Study Treatment .................................................................................................. 6 
1.7 Randomization .................................................................................................... 6 
1.8 Study Design ....................................................................................................... 7 
1.9 Sample Size and Power Considerations ............................................................ 10 
1.10 Early Stopping, Data Monitoring, and Interim Analysis .................................. 11 
1.11 Modifications from the Statistical Section of the Protocol ............................... 12 
2 
Statistical Hypotheses ....................................................................................... 13 
3 
Estimand Specification ..................................................................................... 17 
4 
Populations of Analysis .................................................................................... 19 
5 
Specification of the Estimand ........................................................................... 20 
5.1 The Scientific Question of Interest ................................................................... 20 
5.2 The Population of Interest ................................................................................. 20 
5.3 The Variable of Interest .................................................................................... 20 
5.4 The Specification of How Intercurrent Events Are Reflected in the Scientific 
Question of Interest ................................................................................................... 21 
5.5 The Population-Level Summary for the Variable ............................................. 21 
6 
Variables of Analysis ........................................................................................ 22 
6.1 Efficacy Variables ............................................................................................. 22 
6.1.1 
Primary Efficacy .................................................................................... 22 
6.1.2 
Secondary Efficacy ................................................................................ 22 
6.1.3 
Tertiary and Exploratory Efficacy.......................................................... 23 
6.2 Safety Variables ................................................................................................ 23 
6.2.1 
Treatment-emergent Adverse Events ..................................................... 24 
6.2.2 
Vital Signs .............................................................................................. 24 
6.2.3 
Clinical laboratory assessments ............................................................. 25 
6.3 Pharmacokinetics Variables .............................................................................. 25 
7 
Statistical Methodology .................................................................................... 26 
7.1 Follow-up Visit Data......................................................................................... 26 
7.2 Patient Disposition ............................................................................................ 27 
7.3 Baseline Characteristics and Demographic Data .............................................. 27 
7.4 Extent of Exposure and Treatment Compliance ............................................... 28 
7.5 Methodology for Missing Data ......................................................................... 28 


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7.6 Analysis of Efficacy Data ................................................................................. 29 
7.6.1 
Primary Efficacy .................................................................................... 29 
7.6.2 
Secondary Efficacy ................................................................................ 31 
7.6.3 
Continuous Glucose Monitoring ............................................................ 32 
7.6.4 
Personal Devices Data for Continuous Glucose Monitoring ................. 33 
7.6.5 
Insulin Device Data ................................................................................ 33 
7.6.6 
Ketones and Glucose .............................................................................. 33 
7.6.7 
Interim Analysis ..................................................................................... 34 
7.6.8 
Subgroup Analysis ................................................................................. 34 
6.5.7.1. Randomization Stratification Subgroups ................................................. 34 
6.5.7.2. Subgroups defined by Age at Onset......................................................... 35 
6.5.7.3. Subgroups defined by Entry HbA1c cut at 8% ........................................ 35 
6.5.7.4. Subgroups defined by use of InPen versus Pump .................................... 35 
6.5.7.5. Subgroups defined by Use of InPen calculator ........................................ 35 
6.5.7.6. Subgroups defined by C-peptide detectable or not at baseline. ............... 35 
6.5.7.7. Subgroups defined by baseline bodyweight ............................................ 36 
7.7 Analysis of Safety Data .................................................................................... 36 
7.7.1 
Adverse Events ....................................................................................... 36 
7.7.2 
Hypoglycemia ........................................................................................ 37 
7.7.3 
Vital Signs .............................................................................................. 38 
7.7.4 
Clinical Laboratory Measurements ........................................................ 38 
7.7.5 
Electrocardiography ............................................................................... 39 
7.8 Pharmacokinetics Analysis ............................................................................... 40 
7.9 Concomitant Medications ................................................................................. 40 
8 
Data Conventions .............................................................................................. 41 
8.1 Definition of Baseline ....................................................................................... 41 
8.2 Continuous Glucose Monitoring and insulin conventions ................................ 41 
8.3 Invalid Data ....................................................................................................... 43 
8.4 Intercurrent Events ............................................................................................ 43 
8.5 Missing Data ..................................................................................................... 44 
8.6 Dropouts ............................................................................................................ 44 
8.7 Visit Windows .................................................................................................. 44 
8.8 Handling of PK Data below limit of quantitation (BLQ) ................................. 45 
8.9 Handling of Dropouts or Missing PK Data....................................................... 45 
8.10 Unscheduled Assessments ................................................................................ 45 
9 
Analysis Deviations .......................................................................................... 45 
10 
Software ............................................................................................................ 46 
11 
Data Displays .................................................................................................... 47 
12 
References ......................................................................................................... 49 
13 
Schedule of Time and Events ........................................................................... 51 
14 
Values of Clinical Concern ............................................................................... 53 


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1 
Introduction 
TTP399 is a liver-selective glucokinase (GK) activator (GKA).  TTP399 targets the 
enzyme GK, a member of the hexokinase family (hexokinase IV) that catalyzes the 
phosphorylation of glucose.  GK acts as a glucose sensor and is a key regulator of 
glucose homeostasis.  Studies show that mutations in the gene encoding GK can cause 
both hyperglycemia and hypoglycemia depending on the mutation, which suggests a 
critical role of GK in regulation of glucose homeostasis.  Because TTP399 is liver-
selective, it simulates the liver to metabolize glucose, independent of an effect on insulin 
secretion.     
TTP399 has been investigated in 11 clinical studies in over 700 subjects (healthy 
volunteers and patients with T2DM), approximately 500 of whom received one or more 
doses of TTP399.    In clinical studies evaluating T2DM patients, TTP399 has shown 
significant reductions in postprandial glucose, increasing % time in range and 
decreasing % time of hypo or hyperglycemia. In the 6-month Phase 2b clinical trial in 
type 2 diabetic patients on stable doses of metformin, TTP399 significantly reduced 
HbA1c and the effect was sustained for the duration of the study without significant 
hypoglycemia, dyslipidemia or ketoacidosis. 
Prior studies have focused on T2DM. The mechanism of action and preclinical data 
suggest that the GK activator TTP399 may have benefit for the treatment of type 1 
diabetes as adjunctive treatment to insulin. 
The study is an adaptive study with 3 stages: 
• the sentinel phase, which is an open label, GK activator dose escalation of 
approximately 6 patients with Type 1 diabetes (T1DM) on CGM (continuous glucose 
monitoring) and CSII (continuous subcutaneous insulin infusion)  with up to 8 visits,  
• Part 1 planned with approximately 30 randomized patients with type 1 diabetes on 
CSII with GK activator dosing or placebo for 12 weeks with up to 10 visits, and  


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• Part 2 with approximately 90 randomized patients with type 1 diabetes on CSII or 
MDI (multiple daily doses of insulin) on GK activator or placebo for 12 weeks with up 
to 9 visits.  
The purpose of this statistical analysis plan (SAP) is to describe the approach of statistical 
analysis in order to support scientifically sound study conclusions. The approach will 
conform to FDA guidance as described in ICH E9, Guidance for Industry Statistical 
Principles for Clinical Trials (1998), the addendum to ICH E9, ICH E9 (R1) Addendum 
On Estimands And Sensitivity Analysis In Clinical Trials To The Guideline On Statistical 
Principles For Clinical Trials (2018). 
1.1 
Adaptive Trial 
This study is an adaptive trial, which includes 3 studies under the same protocol. This 
SAP is focused on Part 2 of this adaptive study. This SAP conforms to standards set forth 
in Adaptive Designs for Clinical Trials of Drugs and Biologics Guidance for Industry 
(CDER, CBER, November 2019). The intention of the adaptive nature of this protocol is 
to leverage potential advantages related to statistical analysis as depicted in the FDA final 
guidance. 
1.2 
Meta-analysis 
This statistical analysis plan (SAP) is for the Part 2 of the study. The analysis of the 
sentinel phase suggested positive results, resulting in Part 1 being initiated.  Part 2 was 
initiated following positive results from an analysis of Part 1. Completion of Parts 1 and 
2 is anticipated to result in approximately 110 patients dosed for 12 weeks. 
The intention for this study is that Part 1 subjects (dosed for 12 weeks) and Part 2 
subjects (dosed for 12 weeks) will be combined in a meta-analysis using a methodology 
following the analysis plan for the meta-analysis, which will be similar to the 
methodologies specified in the SAPs for Part 1 and for Part 2. It is noted that the 
intention for the integrated analysis is specified in the study protocol, Section 10.4.No 
alpha is allocated to the meta-analysis; however, it was the intention from the design 
stage of this study. 


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1.3 
Study Objectives  
The study objectives for the entire study as depicted in the protocol are given below: 
 
• Sentinel phase 
 
Objectives 
The primary objectives of this study are: 
• To investigate the pharmacokinetic (PK) profiles of the tablet 
formulation of TTP399 in patients with type 1 diabetes mellitus 
(T1DM) with continuous subcutaneous insulin infusion (CSII) and 
continuous glucose monitoring (CGM)   
• To assess the safety and tolerability of TTP399 following 7 days of 
repeated dosing at up to 3 doses. 
 
The secondary objective of this part of the study is: 
• To evaluate the pharmacodynamic (PD) effect of TTP399 following 
multiple dosing (up to 7 days at up to 3 doses) in patients with T1DM 
to determine optimal efficacious dose to improve glycemic control 
and/or reduce mealtime insulin bolus 
 
  Outcome Measures 
Primary Outcome Measures: 
• Pharmacokinetic Measures: Cmax, Tmax, and AUC(0-τ), t1/2 
• Adverse events, clinically significant changes from baseline in 
laboratory tests, vital signs and electrocardiograms (ECG) parameters 
 
Secondary Outcome Measures:  
• Change from baseline MMTT AUC 0-3h glucose 
• Change from baseline in bolus insulin (number of units and / or number 
of bolus injections) for the last 3 days in each 7-day interval  
• Percent change from baseline in bolus insulin for the last 3 days in each 
7-day interval 
• Change from baseline total daily insulin for the last 3 days in each 7-
day interval  
• Percent change from baseline total daily insulin for the last 3 days in 
each 7-day interval   
• Change from baseline in average daily glucose for the last 3 days in 
each 7-day interval 
• Percent time in target glycemic range (70-180 mg/dL); hyperglycemic 
range (Level 1 > 180 mg/dL; Level 2 (>250mg/dL) and hypoglycemic 
range (Level 1< 70mg/dL; Level 2 < 54 mg/dL) 
• Percent time in target glycemic range of 70-140mg/dL during the last 3 
days in each 7-day interval 
• Mean post prandial (0-3hr) glucose during the last 3 days in each 7-day 


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interval 
• Hypoglycemic events by CGM (≥15 continuous minutes of glucose 
reading <70mg/dL 
• Glycemic variability (mean SD and CoV) 
• Change from baseline of non-genomic biomarkers, glucagon and GLP-1 
• Body weight 
 
• Parts 1 and 2 (Following 12 weeks of dosing)  
 
Objectives 
 
Primary Objective: 
• To evaluate the pharmacodynamic (PD) effect of TTP399 following 
multiple day dosing (at 12 weeks) in patients with T1DM  
 
Secondary Objectives: 
• To evaluate the safety and tolerability of TTP399 administered for 12 weeks in 
T1DM patients 
 
Exploratory Objectives 
• Assess relevancy of non-genomic biomarkers in predicating responders and 
efficacy 
• To assess changes in patient quality of life 
 
Endpoints (Part 1 and Part 2) 
 
Primary Endpoint: 
• Change from baseline in HbA1c at 12 weeks  
 
Secondary Endpoints: 
• Change from baseline time in target glycemic range (70-180 mg/dL); 
hyperglycemic range (Level 1 > 180 mg/dL; Level 2 (>250mg/dL) and 
hypoglycemic range (Level 1< 70mg/dL; Level 2 < 54 mg/dL) 
• Change from baseline in number of units of insulin (basal, bolus or total 
daily) dose  
• Percent change from baseline in insulin (basal, bolus or total daily) dose 
• Achievement of a decrease of at least 0.3% in HbA1c at Week 12 
(responders) 
 
Safety Endpoints: 
 
• Adverse events, laboratory, vital sign and electrocardiograms (ECG) 
parameters 
 


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Exploratory Endpoints:  
• Plasma (non-genomic) biomarkers 
• Diabetes treatment satisfaction questionnaire (s) 
• Change from baseline in number of bolus injections of insulin 
• An analysis of responders HbA1c < 7% without any severe 
hypoglycemic events, weight gain, ketoacidosis 
 
Endpoints (Part 1, Interim analysis):  
 
An interim analysis plan that will describe the variables of analysis. Endpoints 
will include, but not be limited to the following: 
 
Primary Endpoints: 
• Change from baseline in bolus insulin (number of units) OR  
Change from baseline for time in target glycemic range (70-180 mg/dL) 
Secondary Endpoints:  
• Change from baseline for time in hyperglycemic range (Level 1 > 180 
mg/dL; Level 2 >250mg/dL) and hypoglycemic range (Level 1< 
70mg/dL; Level 2 < 54 mg/dL) 
• Composite endpoint encompassing change from baseline HbA1c and 
risk of hypoglycemia as described in the SAP 
• Change from baseline in average daily glucose  
 
Safety Endpoints: 
• Adverse events, laboratory, vital sign and electrocardiograms (ECG) 
parameters 
 
Exploratory Endpoints:  
• Change from baseline in basal or total daily insulin dose (number of 
units) 
• Percent change from baseline in insulin (basal, bolus or total daily) dose 
• Change from baseline glycemic markers (fructosamine and 1,5 
anhydroglucitrol) 
• Body weight 
• Glycemic variability (mean SD and CoV) 
• Change from baseline total daily insulin dose 
• Percent change from baseline in total daily insulin. 
 
 
1.4 
Study Rationale 
Treatment groups are TTP399 800 mg QD and placebo QD, which were selected based 
on prior clinical studies and research of currently available therapies and the results of the 
sentinel phase of the study, which evaluated doses up to 1200 mg. This study conforms to 


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regulatory guidance depicted in FDA adaptive design guidance: FDA guidance Adaptive 
Design for Clinical Trials for Drugs and Biologics (draft guidance, February 2010) and 
also the European Medicines Agency guidance Reflection Paper On Methodological 
Issues In Confirmatory Clinical Trials Planned With An Adaptive Design (October 2007). 
This study is an adaptive study, following advice depicted in these guidance documents 
from regulatory agencies regarding studies on drugs at the current stage of development 
of this compound.    
1.5 
Subject Population  
The study population for Part 2 of the study includes adult patients between the ages of 
18 and 70, inclusive, male or female with a historical diagnosis of T1DM at least 12 
months prior to Screening, who were diagnosed with T1DM before the age of 40 years, 
Subjects must have HbA1c at Screening in the range of 7—9.5% (inclusive). 
1.6 
Study Treatment  
Drug supplies will consist of 400 mg TTP399 and matching placebo tablets for oral 
administration. 
TTP399 or matching placebo tablets will be packaged in 60 cc HDPE bottles with heat 
induction seal and child-resistant closures. Each bottle will contain 40 tablets. 
Drug supplies should be stored at the study site in their original containers under locked, 
refrigerated [2° C to 8° C (36° F to 46° F)] conditions.  Once dispensed to patients, 
medication can be stored at room temperature.   
1.7 
Randomization   
Randomization by site is done in this study, so that each site is randomized separately. 
Investigators will assign a unique patient screening identification number sequentially to 
each patient who has signed the informed consent document.  This identifying screening 
number will be retained throughout the duration of study participation.   


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At the time of randomization, patients are assigned a unique, randomization number 
based on site-based randomization scheme.    
Part 2 introduces a stratification into the randomization to control balance between 
patients who enter the study on CGM and those who do not: 
 
There are two strata: 
 
• Patients currently on CGM with at least 2 months of experience with 
personal CGM without significant interruptions (i.e. > 2 consecutive weeks) 
prior to screening who agree to continue using their personal CGM 
throughout the study in addition to the Sponsor supplied CGM.  
• OR patients currently not using a personal CGM prior to screening who 
agree not to use a personal CGM during the study 
 
Patients will be randomized, in balanced allocation within each stratum, to one of the 
following treatment groups: 
• TTP399 800 mg QD 
• Placebo QD. 
 
Approximately 90 patients will be randomized following once daily dosing regimens: 
Table 1. Study Treatment Regimen 
Regimen 
(planned number of 
patients) 
Dosing Regimen 
Number of TTP399  
400 mg tablets 
Number of TTP399 
Matching Placebo 
tablets 
A (n=45) 
Placebo 
0 
2 
B (n=45) 
800 mg QD TTP399 
2 
0 
 
1.8 
Study Design   
Each part of the study will have a screening period, a baseline period, an open label dose 
escalation phase (Sentinels Phase only) and a double-blind, placebo-controlled treatment 
period (Part 1 and 2, randomized 1:1 to placebo or TTP399). Part 1 and Part 2 will have 
an insulin dose adjustment period, if needed.  Sentinel and Part 1 patients will have 
unblinded CGM the entire study and will be contacted by the site routinely to assess 


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safety.  In Part 2 there will be  two periods of sponsor provided (blinded) CGM.  In 
addition to site visits, patients will be contacted throughout the study to assess safety as 
outlined in the Schedule of Activities.  Phone calls are preferred, but texts are allowed.   
Pharmacokinetic samples will be collected throughout the study for all patients.  A 
planned interim analysis may occur approximately 6 weeks after approximately 30 
patients have been randomized in Part 1.   
Each patient enrolled in Part 2 of the study will undergo screening procedures, a 2-week 
single-blind run-in period, a 12-week, double-blind treatment period, and a follow-up site 
visit.  The study includes a total of up to 9 outpatient visits to the study site.  Patients will 
visit the clinic for screening, undergo a basal insulin adjustment period of up to 3 weeks 
(if needed), have a single-blind placebo-run-in period, and then return to the clinic for 
visits on Days 1, 14, 42, and 84 for safety and efficacy assessments, followed by a safety 
follow-up evaluation 7 to 10 days following the final dose of double-blind study 
medication.   
At Screening, patients will sign the Informed Consent Form and then be assessed for 
study eligibility.   
Patients who are deemed eligible based on procedures completed at Screening will 
undergo a basal insulin adjustment period (if needed), and then they will return to the site 
at Week -2 for a placebo run-in period of at least 13 days in duration.  
Randomization will occur on Day 1. Eligibility will be confirmed, and eligible patients 
will be randomized.  
Patients will come to the study site for all site visits following an overnight fast (except 
water).  When fasting is required, patients who do not meet the fasting requirement will 
not have blood or urine samples collected for laboratory assessments, but all other 
procedures will be carried out; those patients will be asked to return the next morning 
after an overnight fast for laboratory assessments. 
The first dose of study medication during each treatment period will be administered at 
the site immediately after enrollment (for the placebo run-in) or randomization (for the 


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double-blind treatment period). Patients will self-administer study medication (TTP399 
or placebo) at home, with the exception of the morning doses administered on the first 
day of placebo run-in or the first day of double-blind medication, which will be 
administered by study staff.  Morning dosing should occur at approximately the same, 
just prior to the morning meal. 
Patients must return to the site approximately 7 to 10 days following the final dose of 
clinical trial material for a follow up visit.  At this visit, final procedures will be 
completed, and the patient will be discharged from the study. 
A depiction of the study design is given in Figure 1. 
Figure 1. Study Design 
 
The study is conducted at multiple sites in the U.S.   
The overall structure of the study includes the following periods: 
Screening: Screening procedures include obtaining informed consent and evaluations to 
determine eligibility for study participation. All screening procedures should occur within 
two weeks of the next visit (either basal insulin dose-adjustment or Week -2).  . 


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Basal Insulin Dose Adjustment Period (Insulin Adjustment Visit): Once a patient has 
met all the entry criteria at the screening visit, the site will schedule a visit to determine if 
the patient’s basal insulin dose needs to be optimized.  If the patient is on a closed loop 
system for automated insulin delivery (e.g. MiniMed 670G) , then the basal adjustment 
period (up to three weeks) is required following the patient turning off the auto mode.  If 
the patient is a new inpen™ (hereafter in this document called to as InPen) user, the basal 
adjustment period (up to three weeks) is also required. 
Placebo-run-in Period (ending on Day 1 with first dose administration of double-blind 
treatment): During the placebo-run-in and baseline period, which begins at Week -2 prior 
to the administration of the first dose of double-blind trial medication, patients arrive at 
the site to receive single-blind placebo and to have Baseline assessments, including blood 
samples for clinical laboratory tests and for evaluation of concentrations 
(pharmacokinetics; PK).   
Double-blind Treatment Period (Day 1 though Week 12): It is noted that “week 12” and 
“day 84” are used interchangeably in this study, defining a month as 28 days and a week 
as 7 days. During the double-blind treatment period, daily doses of oral, double-blind 
study medication are administered. Efficacy, dosing compliance, and safety assessments 
are taken, including vital signs, adverse events, electrocardiography, and concomitant 
medications. Blood draws are taken for PK evaluations and for biomarkers.   
Follow-up Visit (7-10 days after last dose): Approximately 7 to 10 days following the 
last dose of study medication, final safety assessments are taken, including vital signs, 
adverse events, ECG, and concomitant medications.    
1.9 
Sample Size and Power Considerations  
The protocol includes sample size considerations for Part 2 of the study. The Part 1 of the 
study is considered to be a pilot study within the adaptive study protocol to obtain initial 
placebo-controlled, double-blind study data to support the progression of the 
investigation to Part 2. 
The following statements pertain to sample size determination for Part 2: 


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“Assuming a standard deviation (SD) of 1%, 34 patients per group will provide 
80% power to detect a difference between a group treated with TTP399 and the 
group treated with placebo of 0.7% in HbA1c using alpha = 0.049.    
 
“Randomization of 68 patients (34 patients randomized to each arm) will 
provide adequate power for this study to meet its objectives related to HbA1c 
changes.  
 
“Assuming 30% or fewer placebo-treated patients show improvement in HbA1c 
of 0.3% or better and assuming 60% or more patients treated with TTP399 will 
achieve improvement in HbA1c of 0.3% or better by Week 12, 49 patients per 
group will provide 80% power to detect a difference between TTP399 and 
placebo. Randomization of N=120 patients into the study to be included in the 
Part 2 analyses provides adequate power to achieve study objectives related to 
responder analysis.  
 
“It is noted that the randomization stratification for part 2 will be reflected in the 
randomization identification with a stratum digit. 
 
“It is noted that in this adaptive study, modification is permitted. (Section 10.2 
of study protocol). 
 
Rigorous calculations for the required sample size for the non-inferiority aspect of the 
study relative to the required sample size to achieve a conclusion of non-inferiority were 
not done during the development of the protocol. Using a non-inferiority margin of 0.3% 
(from the FDA guidance entitled Guidance for Industry Diabetes Mellitus: Developing 
Drugs and Therapeutics Biologics for Treatment and Prevention (CDER; February 2008), 
the sample size required for non-inferiority is bracketed by the sample size required for 
adequate power for superiority of HbA1c. 
1.10 Early Stopping, Data Monitoring, and Interim Analysis 
This study has accommodation for one or more interim analyses. If an interim analysis is 
done, a separate interim analysis plan will include details of the planned analyses, 
disclosure, and plans to protect the integrity of the ongoing study.  
Interim analysis may or may not be done for business purposes in any portion of this 
protocol.   


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1.11 Modifications from the Statistical Section of the Protocol  
This SAP is consistent with the protocol with the following exceptions: 
• The primary analysis is characterized more completely with change based on 
blinded evaluations and communications with key opinion leaders. Modifications 
of the statistical analysis that represent departures from the protocol are permitted 
in an adaptive study, and such changes are explicitly allowed in the protocol. 
• A conditional sequence of hypothesis tests has been modified to reflect blinded 
evaluations and communications with key opinion leaders. 
Any other modifications will be documented in amendments to the SAP or the clinical 
study report. 
 


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2 
Statistical Hypotheses 
The primary objective is to show superiority (using a 2-sided test) of TTP399 to placebo 
at 12 weeks in patients treated with insulin on a dichotomous variable to delineate 
patients treated with insulin plus placebo from patients treated with modified insulin with 
TTP399 added followed by a non-inferiority evaluation of change in HbA1c followed by 
a superiority evaluation of change in HbA1c .   
It is noted that the insulin optimization is applied to all subjects who are not already 
optimized in the opinion of the investigator. After the start of double-blind study 
medication, intensive medical monitoring results in modifications of insulin for all 
patients. Under the alternative hypothesis of treatment benefit, the modification of insulin 
for subjects on active treatment may be altered as a result of the co-administration of 
TTP399. Modification of insulin for subjects on placebo is considered standard of care. It 
is concluded, therefore, that the placebo added to insulin standard of care is the control 
group for treatment with TTP399 added to a modified regimen of insulin. 
The statistical evaluation including non-inferiority evaluation and hypotheses to be 
tested in Part 2 are as follows: 
First Compound Statistical Evaluation (full alpha): 
The first evaluation is non-inferiority of treatment with TTP399 800 mg daily plus a 
modified regimen of insulin and treatment with optimized insulin as determined by the 
insulin-optimization period of the study, if needed, per protocol: 
• Evaluation 1:  
Noninferiority will be considered to have been established if the 95% confidence 
interval is completely bounded by the non-inferiority margin of 0.3%, which is 
specified in the draft guidance: Guidance for Industry Diabetes Mellitus: Developing 
Drugs and Therapeutics Biologics for Treatment and Prevention (CDER; February 
2008), Section V.G.1, “Typically we accept a noninferiority margin of 0.3 or 0.4 
HbA1c percentage units provided this is no greater than a suitably conservative 


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estimate of the magnitude of the treatment effect of the active control in previous 
placebo-controlled trials.”   
• The 95% confidence interval will be constructed for the difference between the 
two treatment groups in mean change in HbA1c to Week 12 using the ANCOVA 
model as described in the statistical methodology section. 
• If the 95% confidence interval is entirely bounded by 0.3% (where a difference of 
0.3% reflects the placebo mean is 0.3% better than the mean of the patients 
treated with TTP399), then the statistical conclusion will follow that treatment 
with 800 mg TTP399 combined with a modified regiment of insulin is non-
inferior to placebo added to insulin following the usual standard of care.   
Conditional on the statistical conclusion of non-inferiority of TTP399 relative to placebo, 
statistical evaluation continued.  
It is noted that noninferiority relative to change from baseline in insulin is planned using 
the confidence interval approach to demonstrate that the maintenance of control of 
HbA1c achieved during the insulin-optimization period is not driven by an increase in 
insulin among subjects treated with TTP399. Formal evaluation of this aspect of non-
inferiority is not planned, so the statistical evaluation is considered to be nominal rather 
than rigorous. 
The Hochberg method is used for alpha control for Evaluation 2 and Evaluation 3. 
• Evaluation 2: 
Superiority on HbA1c is evaluated: 
• H01: The change from baseline in HbA1c at Week 12 for the group treated 
with 800 mg TTP399 is equal to that of the placebo group. 
 
• H11: The change from baseline in HbA1c at Week 12 for the group treated 
with 800 mg TTP399 is not equal to that of the placebo group. 
 


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• Evaluation 3:  
 
It is noted that strict application of the Hochberg methodology implies that rigorous 
p-values may not be applicable in the event of failure to reject either hypothesis in 
Evaluation 2. The intersection hypothesis is, however, applicable, and it is the 
intention of this analysis plan to continue testing under the intersection hypothesis 
and interpret p-values as rigorous as opposed to nominal. 
 
Superiority on treatment response is evaluated: 
• H02: The proportion of treatment responders at Week 12 for the group 
treated with 800 mg TTP399 is equal to that of the placebo group. 
 
• H12: The proportion of treatment responders at Week 12 for the group 
treated with 800 mg TTP399 is not equal to that of the placebo group. 
 
The study is declared to have met its primary endpoint if Evaluation 1 concludes 
TTP399 plus the modified regimen of insulin is noninferior to optimized insulin 
 
And 
 
Using the Hochberg method, either Evaluation 2 finds TTP399 is superior on HbA1c or 
Evaluation 3 finds TTP399 is superior on the proportion of treatment responders. 
  
Conditional on achievement of endpoints, statistical evaluation continues. 
Conditional Second Statistical Evaluation: 
• Evaluation 4:  
 
Superiority on daytime time in range is evaluated: 
• H03: The mean change in daytime time in range from baseline to Week 12 
for the group treated with 800 mg TTP399 is equal to that of the placebo 
group. 
 
• H13: The mean change in daytime time in range from baseline to Week 12 
for the group treated with 800 mg TTP399 is not equal to that of the 
placebo group. 


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Conditional Third Statistical Evaluation: 
• Evaluation 5:  
 
Superiority on time in hypoglycemia using 70 mg/dl as the threshold is evaluated: 
• H04: The mean change in time in hypoglycemia using 70 mg/dl as the 
threshold from baseline to Week 12 for the group treated with 800 mg 
TTP399 is equal to that of the placebo group. 
 
• H14: The mean change in time in hypoglycemia using 70 mg/dl as the 
threshold from baseline to Week 12 for the group treated with 800 mg 
TTP399 is not equal to that of the placebo group. 
 
Conditional Fourth Statistical Evaluation: 
• Evaluation 6:  
 
Superiority on time in hypoglycemia using 54 mg/dl as the threshold is evaluated: 
• H05: The mean change in time in hypoglycemia using 54 mg/dl as the 
threshold from baseline to Week 12 for the group treated with 800 mg 
TTP399 is equal to that of the placebo group. 
 
• H15: The mean change in time in hypoglycemia using 54 mg/dl as the 
threshold from baseline to Week 12 for the group treated with 800 mg 
TTP399 is not equal to that of the placebo group. 
 
Conditional Fourth Statistical Evaluation: 
• Evaluation 7:  
 
Superiority on Quality of life Likert scale score is evaluated: 
• H06: The mean score for the single-item Likert scale for overall 
improvement in quality of life at Week 12 for the group treated with 800 
mg TTP399 is equal to that of the placebo group. 
 
• H16: The mean score for the single-item Likert scale for overall 
improvement in quality of life at Week 12 for the group treated with 800 
mg TTP399 is not equal to that of the placebo group. 


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3 
Estimand Specification 
This SAP is constructed to conform to regulatory guidance. In particular, this section is 
included as recommended by ICH E9 (R1) Addendum on estimands and sensitivity 
analysis in clinical trials to the guideline on statistical principles for clinical trials (30 
August 2017).  
In accordance with ICH E9 Addendum, the specification of the estimand is included in 
this SAP with the 4 attributes detailed in ICH E9 Addendum, Section A.3.1: 
A. The Population, that is, the patients targeted by the scientific question: 
For this study, the population consists of subjects with type 1 diabetes who meet 
eligibility requirements for the study, have qualified through the basal insulin-
optimization period (if needed) and the placebo run-in period, receive double-
blind medication, and have at least one valid post-baseline measure of HbA1c. 
B. The variable (or endpoint) to be obtained for each patient, that is required to 
address the scientific question: 
For this study, the primary endpoint is HbA1c with co-primary importance on 
treatment responsiveness (whether or not subjects are treatment responders). 
C. The specification of how to account for intercurrent events to reflect the scientific 
question of interest: 
 
For this study, intercurrent events such as blood transfusion or medical treatment 
with prednisone or major modification in insulin regimen/doses outside the once 
recommended in the protocol  that would render subsequent values as not 
protocol-meaningful will be set to missing (moved to the SDTM SUPPLB domain 
to facilitate sensitivity analysis that includes the values) and primary statistical 
methodologies of multiple imputation will be used to predict what the values were 
likely to be had the intercurrent event not happened. 
 


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D. The population-level summary for the variable that provides, as required, a basis 
for a comparison between treatment conditions: 
For this study, the population-level summary for the variable is the least-squares 
mean (LSM) of the treatment difference in mean change from baseline in HbA1c. 


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4 
Populations of Analysis  
In accordance with guidance from the International Conference on Harmonisation of 
Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH) 
Statistical Principles for Clinical Trials E9 (1998), the following population of analysis 
will be used for all statistical analysis: 
• The full analysis set (FAS) includes all randomized patients who receive at least 
one dose of randomized study medication with at least one valid value post-
treatment value. The FAS is used for all efficacy analyses.   
• The per-protocol set (PPS) includes all FAS patients who do not have significant 
protocol violations, where a significant protocol violation is one that has the 
potential to affect analysis conclusions.  Final determinations of significant 
protocol violations will be made at the final blinded data review meeting in 
accordance with guidance from ICH E9 (Statistical Principles). 
• The safety analysis set (SAF) includes all patients who received at least one dose 
of study medication. The SAF is used for all safety analyses. 
In accordance with ICH E9, patients lacking any valid, on-treatment assessment of 
HbA1c will be excluded from the FAS. 
It is noted that the evaluations, reviews, and decisions planned to be made at blind data 
review meetings are consistent with regulatory guidance as depicted and recommended in 
ICH E9. 
Solely to understand the influence of dropouts on study conclusions, the FAS will be 
partitioned into completers and dropouts.  
Efficacy analysis will be done as randomized.  Safety analysis will be done as treated.  
PK analyses will be performed using the PK population, comprising those study 
participants who have received TTP399 and have sufficient PK data for analysis. 
 
 


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5 
Specification of the Estimand  
In accordance with guidance from the International Conference on Harmonisation of 
Technical Requirements for Registration of Pharmaceuticals for Human Use (ICH) ICH 
E9 (R1) Addendum On Estimands and Sensitivity Analysis In Clinical Trials to the 
Guideline to Statistical Principles tor Clinical Trials (2018), the characterization of the 
estimand includes the following attributes:  
5.1 
The Scientific Question of Interest 
The scientific question of interest evaluates the potential superiority of TTP399 over 
placebo in the treatment of T1DM in patients who meet protocol eligibility criteria and do 
not require concomitant medications, blood transfusions, or other rescue therapies that 
would influence HbA1c measures (except for insulin), thereby rendering the subsequent 
values as uninterpretable for protocol-planned purposes.  
5.2 
The Population of Interest 
The population of interest includes qualified patients who meet eligibility criteria 
specified in the protocol who do not require concomitant medications that would taint 
HbA1c measures for protocol purposes (except for insulin) or have blood transfusions 
and who complete 12 weeks of treatment with TTP399 or placebo.  
5.3 
The Variable of Interest 
The endpoint or variable of primary interest is change in HbA1c. Additionally, a 
responder analysis is of keen interest, where a responder is a subject who shows stable or 
improved HbA1c at endpoint (change is zero or more), no treatment-emergent abnormal 
value in beta-hydroxybutyrate (BOHB),  and no increase in hypoglycemic episodes 
below 54 mg/ml. Of key interest are parameters associated with glycemic control, 
including percentage of time in the target range and the coefficient of variation (CV). 
Important variables of interest from a safety perspective include time in hypoglycemic 
ranges and occurrence of adverse events of special interest, including severe 
hypoglycemia and DKA. 


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5.4 
The Specification of How Intercurrent Events Are Reflected in the Scientific 
Question of Interest 
An intercurrent event is any event that occurs after treatment initiation and either 
precludes observation of the variable or affects its interpretation (ICH E9 addendum, 
glossary). 
Intercurrent events for Part 2 of this study include: 
• Blood transfusion. 
• Use of concomitant treatments that are known to be associated with impact on 
HbA1c, specifically use of steroids. 
• Shift change in work schedule from day worker to night worker or other life event 
that may affect HbA1c, such as any situation or major protocol deviation from the 
usual insulin doses outside of the ones specified in the protocol.   
Data from patients during periods of when the InPen or insulin pump fails cannot be 
interpreted for the protocol-planned purposes. Censored data will invoke statistical 
methodologies for coping with missingness. 
5.5 
The Population-Level Summary for the Variable 
The mean change in HbA1c is of primary interest supported by the mean endpoint value 
of HbA1c to be used to compare patients treated with TTP399 with those treated with 
placebo. The placebo-subtracted proportion of responders is the population-level variable 
of interest for the responder analysis. 
 
 
 


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6 
Variables of Analysis  
6.1 
Efficacy Variables 
6.1.1 Primary Efficacy 
The primary efficacy variables of analysis include the following: 
• Change from baseline to Week 12 in HbA1c. 
• Proportion of Responders, where a responder meets the following criteria: 
o 
HbA1c: has a change in HbA1c of less than zero (any improvement) 
o 
Ketoacidosis: has no  treatment-emergent serum BOHB above the normal 
reference range 
o 
Lactic acidosis: has no treatment-emergent lactic acid above the normal 
reference range. 
o 
Hypoglycemia: has no treatment-emergent episode of severe hypoglycemia 
(related or not related). 
6.1.2 Secondary Efficacy 
Secondary variables of analysis include: 
• Achievement of no more than trace ketones in urine post-treatment 
• Achievement of no treatment-emergent abnormal value in serum BOHB 
• Achievement of no more than trace ketones in urine or treatment-emergent 
abnormal value in BOHB in serum 
• Change from baseline relative to: 
• 
Time in target glycemic range (70-180 mg/dL);  
• 
Time in hyperglycemic range  
 Level 1 > 180 mg/dL  
 Level 2 > 250mg/dL 
• 
Time in hypoglycemic range  
 Level 1 < 70mg/dL 
 Level 2 < 54 mg/dL 
• Change from baseline in average daily number of units of bolus insulin dose  
• Percent change from baseline in average daily insulin dose 
• Achievement of a decrease of at least 0.3% in HbA1c at Week 12 (responders) 
 
Additionally, analysis will be done on hypoglycemia both thresholds (54 mg/dl and 70 
mg/dl) using the following variables: 


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• Change from baseline (2-week period) to Week 12 (2-week period) on the 
number of hypoglycemia episodes 
• Proportion of patients with at least one more treatment-emergent episode of 
hypoglycemia at Week 12 (2-week period) relative to baseline (2-week period). 
• Time-adjusted change from baseline on the number of hypoglycemia episodes. 
• Proportion of patients with at least one more time-adjusted treatment-emergent 
episode of hypoglycemia at Week 12 than at baseline.  
 
6.1.3 Tertiary and Exploratory Efficacy 
• Standard deviation of daily CGM and associated CV% 
• Plasma (non-genomic) biomarkers 
• Diabetes treatment satisfaction questionnaire (s) 
• Change from baseline in number of bolus injections of insulin 
• An analysis of responders HbA1c < 7% without any severe hypoglycemic events, 
weight gain, diabetic ketoacidosis 
 
Additionally, a quality of life (Likert Scale) question is classified as an exploratory 
variable of interest: At Week 12, the patient should be asked to respond to the following 
QOL question with one of the answers below.  The answer will be entered in the EDC. 
 
Question: “How is your quality of life relative to study start?”  
 
Answers (choose one):  markedly worse, moderately  worse, slightly worse, no 
change, slightly improved, moderately improved, markedly improved. 
 
The Diabetes Treatment Satisfaction Questionnaire status version (DTSQs) is completed 
at Screening and Week 12, and the Diabetes Treatment Satisfaction Questionnaire change 
version (DTSQc) is  completed at the Week 12 visit. These questionnaires will be 
evaluated as exploratory variables of analysis in this Part.  
 
6.2 
Safety Variables 
Safety is monitored in this study by collection of adverse events, vital signs, 
electrocardiography, and clinical laboratory measures with intensive medical monitoring 
for evidence of DKA or important hypoglycemic events. It is noted that all untoward 
events or experiences are reported as adverse events regardless of whether they are 
identified by clinical observation, patient reporting, physical examination, clinical 
laboratory test result, electrocardiography, or any other examination or test. It is noted 
that listings are reviewed by medically qualified individuals of vital signs, laboratory 


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data, electrocardiograms (ECG), and all safety data to ensure that safety signals are 
identified and reported in the analysis of the safety data from this study.  
6.2.1 Treatment-emergent Adverse Events 
A treatment-emergent adverse event (TEAE) is one that was not present at before the first 
dose of study medication in each period  or represents the exacerbation of a pre-existing 
condition. It is noted that AEs that emerge during the placebo-run-in phase will be 
captured and reported separately from AEs that emerge during the double-blind-treatment 
period.   
Safety variables of analysis include description of the following: 
• Patients with TEAEs by Preferred Term (PT) 
• Patients with TEAEs by system organ class (SOC) and PT within SOC 
• Patients with any hypoglycemic TEAE by PT 
• Patients with any severe TEAE 
• Patients with any serious TEAE 
• Patients with any related TEAE 
• Patients with TEAEs that result in termination from the study 
6.2.2 Vital Signs 
Vital Signs variables of analysis include raw means and mean changes from baseline for 
the vital signs measured in this study: 
• Sitting pulse rate 
• Sitting systolic and diastolic blood pressures 
• Bodyweight  


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6.2.3  
Clinical laboratory assessments 
Clinical laboratory variables of analysis include raw means and mean changes from 
baseline for the clinical laboratory measures in this study 
• Hematology: hemoglobin, hematocrit, RBC count, platelet count, WBC count, 
total neutrophils (abs), eosinophils (abs), monocytes (abs), basophils (abs), 
lymphocytes (abs) 
• Clinical chemistry: BUN, creatinine, calcium (total), sodium, potassium, chloride, 
total carbon dioxide, (bicarbonate), AST (SGOT), ALT (SGPT), alkaline 
phosphatase (ALK), total bilirubin, direct (conjugated) bilirubin, uric acid, 
albumin, total protein 
• Lipid panel: total cholesterol, HDL-C, LDL-C, triglycerides 
• Specialty laboratory tests: HbA1c, C-peptide, lactate, ketones, free fatty acids, 
GGT, fructosamine, glucagon, 1, 5 anhydroglucitrol.  
A treatment-emergent abnormal value (TEAV) is a laboratory analyte that is abnormal 
after administration of study medication that was not present prior to the administration 
of study medication. 
Safety variables of analysis include: 
• Proportions of patients with TEAVs 
• Proportions of patients with a TEAV in any liver function test (LFT) including 
ALT, AST, total bilirubin, alkaline phosphatase.  
6.3 
Pharmacokinetics Variables 
Plasma trough concentrations of TTP399  will be examined as variables of analysis.   


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7 
Statistical Methodology  
Descriptive statistics will be used to summarize the data. Continuous variables will be 
presented showing number of observations available, mean, median, minimum, 
maximum, and standard deviations (or standard errors, depending on the variable) by 
visit. Categorical variables will be presented showing frequencies and percentages by 
visit. 
Efficacy analyses will also be done on the FAS and, potentially, also on the PPS. If the 
PPS differs from the FAS by more than 10%, the analyses will be replicated on the PPS.  
If the PPS and the FAS do not differ by more than 10%, analysis may not be done on the 
PPS.  Final judgments will be made at the blind data review meeting in accordance with 
ICH E9. 
All tests will be 2-sided and use α = 0.049 for the final analysis to accommodate planned 
interim analyses for which α = 0.001 is allocated, thereby preserving a study-wise over 
all α = 0.05. This penalty is applied regardless of whether or not there is an actual 
modification to the study structure, design, or analysis plans. 
Data displays will include the following comparisons: 
• Placebo 
• 800 mg TTP399. 
  
MedDRA version 21.0 or later will be used. SAS version 9.4 will be used.  
7.1 
Follow-up Visit Data 
This study includes a safety evaluation 7 to 10 days after the final dose of study 
medication. Due to ethical considerations, it may be necessary to allow a patient to take a 
protocol-prohibited rescue medication, which would render objective interpretation of 
subsequent assessments impossible. Data obtained at the Follow-up assessment, 
therefore, cannot be included in efficacy or safety analysis as part of the statistical 
analysis planning for this study. Data captured at this visit will be reported and 
summarized in data tabulations and listings, but interpretation must proceed with due 
caution.  


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7.2 
Patient Disposition  
A tabulation of subject disposition will be presented, including the number screened, the 
number treated with single-blind placebo, the number randomized, the number dosed 
with double-blind study medication, the number who withdrew prior to completing the 
study, and reasons for withdrawal for those subjects who withdrew from the study 
prematurely.  
Subjects who are randomized, but not dosed, will be included in disposition tables and 
listings. A summary table will include numbers of subjects available for analysis by 
population of analysis, including efficacy (by analysis subgroup) and safety (all treated 
subjects). 
Subjects who withdraw from the study during the treatment period (who terminated 
treatment with study medication prematurely) will be displayed separately from subjects 
who withdraw from the study between the end of treatment and the follow-up visit. 
Randomized subjects who withdraw from the study prematurely will be listed with 
randomization identification, age, sex, race, ethnicity, treatment group, date of first dose 
of double-blind medication, date of last dose of double-blind medication, date of last 
visit, and reason for discontinuation.   
7.3 
Baseline Characteristics and Demographic Data  
Demographic data will be summarized for the FAS, PPS, and SAF. Summaries of 
continuous variables will include number of subjects, mean, median, minimum, 
maximum, and standard deviation.  Summaries of categorical variables will include 
numbers of subjects in each category, by treatment and overall. The variables to be 
summarized will include: 
• Age, gender, and race 
• Weight, height, BMI 
• Baseline HbA1c 
• Use of InPen or Pump 
• Use of personal CGM 


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• Age at diagnosis 
• Years since diagnosis. 
7.4 
Extent of Exposure and Treatment Compliance  
Exposure to investigational product for the SAF will be summarized including the 
following variables: 
• Treatment duration, calculated as the number of days from the date of first dose of 
double-blind mediation to date of last dose, inclusive. 
• Total number of doses taken 
• Total dose taken (mg of TTP399, with 0 mg for placebo) 
• Compliance by visit for the active study period, calculated as the number of doses 
taken divided by the number of days on active study, multiplied by 100% and 
capped at 100% for any subject. 
• Overall compliance, calculated as the number of doses taken divided by 83 (the 
protocol-specified number of days of dosing), multiplied by 100% and capped at 
100% for any subject.  
Descriptive statistics will be used for assessment of treatment exposure and treatment 
compliance within each treatment group and among treatment groups. Continuous 
variables will be presented showing number of observations available, mean, median, 
minimum, maximum, and standard deviations by visit and summarized for the study 
overall. Categorical variables will be presented showing frequencies and percentages by 
visit and for the study overall.  
7.5 
Methodology for Missing Data 
In general, for safety, missing data will not be imputed. Missing baseline data will be 
imputed with the latest available pre-dose value. In the event that no pre-dose value is 
available, for safety data or for insulin data, the first available data will be used for the 
baseline comparisons.  


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In general, for analyses on measures, multiple imputation methodology will be used to 
accommodate missingness. For dichotomous variables, non-responder imputation is used. 
7.6 
Analysis of Efficacy Data 
The primary analysis as stated in the protocol is on change in HbA1c, and statistical 
methodology for measures is planned that follow standard statistical recommendations 
from regulatory authorities. Additionally, an important key efficacy analysis is the 
responder analysis, detailed in this SAP. The statistical methodology for the responder 
analysis is the standard Fisher’s exact test. 
7.6.1 Primary Efficacy 
Efficacy analysis will be done on the full analysis set (FAS), consisting of all randomized 
subjects who receive at least one dose of randomized study medication (subjects lacking 
any valid post-dose HbA1c will not be included in the FAS, consistent with ICH E9 
principles).   
The primary analysis of the non-inferiority evaluation and the subsequent conditional 
superiority evaluation are done using the primary statistical methodology for change in 
HbA1c. The primary hypothesis test analysis will use the intent-to-treat methodology and 
a main-effects model for analysis of covariance (ANCOVA), with adjustment for 
baseline HbA1c levels and changes between screening and baseline (day 1, pre-dose 
assessment).  Missing data will use multiple imputations methodology. Interaction terms 
will be examined in supportive analyses.  In the event of a significant interaction term, 
the impact on analysis conclusion will be examined.  The primary model will not include 
interaction terms.  Assumptions underlying ANCOVA will be examined.  If assumptions 
of ANCOVA are unwarranted and the validity of the ANCOVA becomes questionable, 
rank analogues will be advanced as the primary analysis. Multiple imputation (MI) 
methods will be used to handle missing data. 
The primary analysis on treatment responders will logistic regression with baseline 
measure as covariables supported by the Mantel-Haenszel test controlling for 
randomization stratum. 


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The primary analysis will be conducted using the FAS following the intent-to-treat (ITT) 
principle. 
Descriptive summaries will be produced for the actual values and change from baseline 
in HbA1c by treatment group, visit and overall. 
Assumptions underlying ANCOVA will be examined.  If assumptions of ANCOVA are 
unwarranted and the validity of the ANCOVA becomes questionable, rank ANCOVA 
will be advanced as the primary analysis. 
Due to the insulin optimization period and the dramatic effect on HbA1c associated with 
that insulin therapy, the analysis of HbA1c will be done 4 ways: 
1. Change from screening 
2. Change from day 1 
3. Change from the average of screening and day 1 (considered primary) 
Additional analysis supporting the primary analysis will include a mixed model repeated 
measure (MMRM) analysis with treatment, time, and treatment-by-time interaction as 
fixed effects, baseline as covariate and subject as a random effect. 
For completeness, an observed cases analysis will be done by visit in which no data are 
excluded, no data are imputed, and no data are represented at times other than when they 
were observed. As an alternative for handling missing data according to the rules of the 
primary analysis, a supportive analysis will be done using last-observation-carried-
forward (LOCF). 
For statistical analyses, 95% confidence intervals will be produced for the least squares 
means (LSM) in each treatment group, as well as the LSM differences as compared to 
placebo.  For MMRM and ANCOVA, two-sided p-values will be displayed for the 
comparison against placebo.  


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To ensure robustness of analysis conclusions against parametric assumptions, rank 
analogues will be executed as supportive analysis.  If the PPS differs from the FAS by 
more than 10%, the analyses will be replicated on the PPS.  If the PPS and the FAS do 
not differ by more than 10%, analysis may not be done on the PPS.  Final judgments will 
be made at the blind data review meeting in accordance with ICH E9. 
All analyses will be done using the intent-to-treat (ITT) principle.  
7.6.2 Secondary Efficacy 
All secondary endpoints will use the FAS. 
Categorical endpoints will utilize Fisher’s exact test. 
Continuous secondary endpoints will be summarized by treatment group and visit. 
MMRM will also be used to analyze those endpoints.  
Statistical methodology for secondary analysis will conform to methodology for primary 
analysis following the ITT principle and using observed-cases approach and LOCF 
approach using the last assessment. The Likert-scale QoL question will be dichotomized 
as “improved quality of life” or “no change in quality of life or worse.” Fisher’s exact test 
will be done to compare subjects treated with TTP399 with subjects treated with placebo. 
Measurement variables will be analyzed using ANCOVA and ANOVA procedures, using 
parametric (if warranted) and nonparametric methods. Parametric assumptions will be 
examined; if parametric assumptions are found to be unwarranted, rank analogues will be 
advanced. 
Secondary efficacy analysis on measures that are continuous will examine drug effects 
within each treatment group using: 
• Paired-t test (1-sample t-test)  
• Wilcoxon (1-sample) test. 


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Within each treatment group, the significance of the percent change from baseline will be 
assessed using a paired-t test (1-sample t-test). Supportive analysis will be done using a 
Wilcoxon (1-sample) test.  
7.6.3 Continuous Glucose Monitoring 
Continuous glucose monitoring (CGM) data will be analyzed with the following 
categories of interest: 
• 
Level 2 hypoglycemia: < 54 mg/dl 
• 
Level 1 hypoglycemia: < 70 mg/dl 
• 
Normal or target: in the range 70-180 mg/dl 
• 
Level 1 hyperglycemia: > 180 mg/dl 
• 
Level 2 hyperglycemia: > 250 mg/dl 
 
Supportive analysis will be done on the endpoint percentages of subjects in the target 
range or outside of the range by level. 
 
Additionally, non-overlapping categories will be examined: 
 
• 
Level 2 hypoglycemia: < 54 mg/dl 
• 
Level 1 hypoglycemia:  between 54 (inclusive) and 70 (not 
inclusive)  mg/dl 
• 
Normal or target: in the range 70-180 mg/dl 
• 
Level 1 hyperglycemia: > between 180 (not inclusive) and 250 
(inclusive)  mg/dl 
• 
Level 2 hyperglycemia: > 250 mg/dl 
 
 
Average daily glucose at endpoint and change in average daily glucose will also be done 
as supportive analysis. The comprehensive analysis will also include standard deviation 
and CV. 
 
7.6.3.1 
Daytime analysis for Continuous Glucose Monitoring 
 
There is particular interest in the effects of treatment with TTP399 on CGM during 
daytime hours when subjects are awake, eating, and moving. For purposes of analysis of 
daytime and nighttime (for completeness), the definitions of daytime and nighttime will 
be as follows: 
 
• Daytime: 6am to 10pm (inclusive) 


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• Nighttime: 10pm to 6am (not inclusive). 
 
7.6.4 Personal Devices Data for Continuous Glucose Monitoring 
It is noted that patients were allowed into the protocol whether they used personal CGM 
devices or did not previously use them. If they reported that they did use personal CGM 
devices, the sponsor obtained (separate) consent for obtaining the data from the personal 
device. These data may or may not be used for exploratory or supportive analyses. 
 
7.6.5 Insulin Device Data 
The following data extracted from devices will be of supportive interest: 
Mean over the period of 
• basal insulin (Prescribed Basal insulin is used)  
• bolus insulin 
• Number of boluses 
• Total insulin (as a measure and adjusted by bodyweight) 
7.6.6 Ketones and Glucose 
Although beta-hydroxybutyrate (BOHB) is a safety analyte, protection from ketoacidosis 
is a potential benefit for TTP399 over other treatments for T1DM, which makes the 
subgroup analysis for potential efficacy a useful analysis. Subjects will be categorized on 
BOHB as follows: 
• Negative: Trace ketone in urine and in serum less than 0.20 mmoll/L 
(approximately 2 mg/dl) 
• Mild: Plus one in urine or in serum 0.2 mmol/L (inclusive) – 0.29 mmol/L  
(inclusive) which is approximately 2 mg/dl – 2.9 mg/dl. 
• Moderate high: Plus 2 in urine or in serum 30-40 mg/dl 
• High: Plus 2 in urine or in serum 40-80 mg/dl (noninclusive) 
• Marked high: Plus 3 in urine or in serum 80 mg/dl or more 
Proportions of subjects will be analyzed for the following variables: 


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• Subjects with treatment-emergent abnormal values in BOHB 
• Subjects with detectable ketones in urine beyond trace. 
• Subjects with ketones in plasma or urine (TEAV in BOHB or detectable more 
than trace ketones in urine). 
7.6.7 Interim Analysis 
The study protocol includes accommodation for an interim analysis, which may or may 
not be done as a business decision. If interim analysis is done, details of the plans for this 
interim analysis will be described in an interim analysis plan, which will include 
intentions for disclosure and plans to protect the integrity of the ongoing study. The goal 
is to support the adaptive trial design for optimization of the scientific conclusions that 
can result from this study. 
This study conforms to regulatory guidance depicted in FDA adaptive design guidance  
FDA guidance Adaptive Design for Clinical Trials for Drugs and Biologics (draft 
guidance, February 2010) and also the European Medicines Agency guidance Reflection 
Paper On Methodological Issues In Confirmatory Clinical Trials Planned With An 
Adaptive Design (October 2007). 
7.6.8 Subgroup Analysis 
6.5.7.1. Randomization Stratification Subgroups 
 
Part 2 of the study includes stratified randomization with two strata: 
• Patients currently on CGM with at least 2 months of experience with personal CGM 
without significant interruptions (i.e. > 2 consecutive weeks) prior to screening who 
agree to continue using their personal CGM throughout the study in addition to the 
Sponsor supplied CGM.  
• OR patients currently not using a personal CGM prior to screening who agree not to 
use a personal CGM during the study 
Subgroup analysis will be done for each stratum separately and combined across strata. 


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6.5.7.2. Subgroups defined by Age at Onset 
Age at onset of TID will be used for subgroup analysis of subjects with earlier age at 
onset. 
• Subjects with Age at Onset less than 21 years 
• Subjects with Age at Onset 21 years or more 
It is noted that late onset (age 40 years or more) was prohibited per the protocol; 
consequently, it is unnecessary to specify that subgroup as of interest. 
6.5.7.3. Subgroups defined by Entry HbA1c cut at 8% 
Subjects with lower HbA1c are more likely to have insulin dose reductions with TTP399 
under assumptions of the mechanism of action. A subgroup analysis will be done for two 
subgroups: 
• Subjects with Baseline HbA1c less than 8% 
• Subjects with Baseline HbA1c 8% or more. 
6.5.7.4. Subgroups defined by use of InPen versus Pump 
Use of the InPen or not will be used for subgroup analysis. 
• Subjects who use InPen 
• Subject who use a pump. 
6.5.7.5. Subgroups defined by Use of InPen calculator 
Patients who use the InPen calculator may have a different insulin profile than those who 
do not. This variable will be used for subgroup analysis. 
• Subjects who use InPen and use the calculator 
• Subjects who use InPen and to do not the calculator 
• Subjects who use a pump 
6.5.7.6. Subgroups defined by C-peptide detectable or not at baseline. 
Patients who have quantifiable levels of C-peptide at baseline are of particular interest. It 
is noted that the assay used for this study has a limit of quantitation for C-peptide of 


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0.004 ng/ml. Statistical analysis will be done on HbA1c in this subgroup and also on 
change in C-peptide.  
• Subjects with baseline C-peptide is less than 0.004 ng/ml 
• Subjects with baseline C-peptide is at least 0.004 ng/ml. 
6.5.7.7. Subgroups defined by baseline bodyweight 
Patients who have low bodyweight at entry may differ from those who are heavier at 
entry. Subgroup analysis defined by baseline bodyweight will include analysis of HbA1c 
changes and also changes in bodyweight. 
• Subjects with baseline bodyweight 85 kg or more 
• Subjects with baseline bodyweight less than 85 kg.  
7.7 
Analysis of Safety Data 
7.7.1 Adverse Events 
Adverse events reported in this study will be coded using MedDRA, Version 21.0 or 
later. Coding will be to the lowest level terms (LLT). The verbatim text, the preferred 
term, and the primary SOC will be listed in subject listings. Summaries that include 
frequencies and proportions of subjects reporting AEs will include the preferred terms 
and the SOCs. 
Adverse event summaries will be done by study phase: (1) pre-dose,(2)  placebo run-in, 
and (3) double-blind treatment phase, (4) period beginning with the first dose of double-
blind medication, including follow-up phase. The final category is considered the primary 
summary of TEAEs to support comparisons of TTP399 with placebo. 
Adverse events summaries will be constructed displaying AEs in decreasing order of total 
frequency according to the numbers of subjects reporting the AE (not the number of 
reports).  
• Number (percent) of subjects reporting TEAE by Treatment and overall in 
accordance. 


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A listing will be constructed that includes the subject identification, the dose group, 
TEAEs, MedDRA terms, seriousness, severity, causality related to study medication, 
causality related to insulin, elapsed time to onset, duration, and outcome.  
Adverse events of special interest (AESI) will include diabetic ketoacidosis and 
hypoglycemia. 
For purposes of analysis and reporting, hypoglycemia events will be limited to those in 
the first two categories (severe hypoglycemia and documented symptomatic 
hypoglycemia) in accordance with FDA’s regulatory guidance Guidance for Industry 
Diabetes Mellitus: Developing Drugs and Therapeutic Biologics for Treatment and 
Prevention (CDER, February 2008). 
7.7.2 Hypoglycemia 
• Three sources were included in this study for evaluation of safety focused on 
identifying important hypoglycemia: Adverse event reporting 
Adverse event reviews included specifications for blinded safety reviews (as 
described in safety review plan) with attention for identifying important 
hypoglycemia and specifications for medical monitoring also targeting 
hypoglycemia. 
• Central Laboratory data 
Ongoing blind data review included targeted identification of values in ranges 
for very low (<54) and low (between 54 and 70) as reported by the laboratory 
data file from the core laboratory. 
• Continuous glucose monitoring (CGM) 
The CGM data were included in the blind data reviews (consistent with ICH 
E9 guidance) with targeted identification of values in ranges for very low 
(<54) and low (between 54 and 70) as reported in the datafiles from the CGM 
sources. 


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7.7.3 Vital Signs 
Vital signs (pulse rate, blood pressures, and weight) will be summarized by Pre-dose, 
Day 1 and mean values and mean change from baseline to each visit. 
Clinically important values or changes in vital signs will be examined with summary 
tables and supportive listings for subjects meeting the criteria for values or changes of 
potential clinical concern (located in Section 13 of this SAP).  
7.7.4 Clinical Laboratory Measurements 
Because “exacerbations” of pre-existing abnormalities in laboratory analytes are 
examined using clinical judgment and are reported as TEAEs, additional analysis on 
TEAVs is limited to subjects with values that are normal prior to dosing and abnormal 
after dosing.  
Adverse events of special interest also treatment-emergent abnormal values (TEAVs) in 
laboratory parameters related to liver function tests, specifically ALT, AST, bilirubin, 
and ALK. 
Potentially clinically significant values in laboratory analytes will be examined in 
accordance with the table of values or changes of potential clinical significance in this 
SAP. Proportions of subjects in each treatment group who meet the criteria will be 
analyzed.  
Laboratory data will be summarized by Baseline and change from Baseline to each 
scheduled assessment time with descriptive statistics.  
Liver function tests have additional monitoring for this study. 
To explore the potential for drug-induced liver injury consistent with Guidance for 
Industry “Drug-induced liver injury: premarketing clinical evaluation” (CDER, CBER, 
July 2009), subjects will be summarized and listed who meet the following criteria: 
(1) Elevations in either AST or ALT of at least 3-times the upper limit of normal, and 


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(2) An accompanying abnormal bilirubin.   
Additionally, a summary and listing will be examined for subjects with elevations in 
either AST or ALT of at least 3-times the upper limit of normal, regardless of bilirubin. 
7.7.5 Electrocardiography 
Electrocardiography data will be summarized by Baseline and mean values and mean 
change from baseline to each assessment. 
Corrections to QT intervals will be made by Fridercia’s method. Categorical analysis will 
be done consistent with ICH E14, “Clinical evaluation of QT/QTc interval prolongation 
and proarrhythmic potential for non-antiarrhythmic drugs” (October 2005). Subjects will 
be categorized and summarized according to: 
• Absolute QTc interval prolongation: 
o QTc interval > 450 
o QTc interval > 480 
o QTc interval > 500 
• Change from baseline in QTc interval: 
o QTc interval increases from baseline > 30 
o QTc interval increases from baseline > 60. 
For purposes of analysis, the baseline will be defined in two ways:  
• Mean of triplicate values at baseline(so that the analysis for the groups and the 
individuals will be on change to each visit from the mean pre-dose triplicate 
measures value).  
• Maximum of all pre-dose values (so that the analysis for the groups and the 
individuals will be on change to each visit from the worse pre-dose value). 
An additional analysis will include change from the worst pre-dose value to the worst 
post-dose value. 


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7.8 
Pharmacokinetics Analysis 
Plasma trough concentrations of TTP399  will be summarized at each scheduled 
assessment time point with the following descriptive statistics:  number of subjects (n), 
mean, standard deviation (SD), coefficient of variation (CV%).   
7.9 
Concomitant Medications 
Concomitant medications will be coded and summarized using World Health 
Organization Drug Dictionary (WHO-DD). 
 


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8 
Data Conventions 
The following analysis conventions will be used in the statistical analysis.  
8.1 
Definition of Baseline 
For safety evaluations, the baseline assessment for all measurements will be the mean of 
all pre-dose values that are considered to be  valid  taken prior to the initiation study 
double-blind medication  
For HbA1c efficacy evaluations, the baseline measurement will be the average of the pre-
treatment measures taken prior to initiation of double-blind study medication (first dose 
of double-blind study medication).  
For CGM, the baseline measurement will be the average of the latest available days of 
CGM measures taken prior to initiation of double-blind study medication (first dose of 
double-blind study medication) and beginning with the first day of single-blind placebo 
study medication (first dose during placebo-run-in period), noting that there must be at 
least 10 days of CGM data to enable a meaningful average calculation. For insulin, the 
baseline measurement will be the average of the latest available days of insulin measures 
taken prior to initiation of double-blind study medication (first dose of double-blind study 
medication) and beginning with the first day of single-blind placebo study medication 
(first dose during placebo-run-in period). 
For other efficacy evaluations, the baseline measurement will be the latest available (at 
least 10 days required), valid measurement taken prior to initiation of study medication 
(first dose).  
8.2 
Continuous Glucose Monitoring and insulin conventions 
Continuous glucose monitoring (CGM) measures are automated by device. Insulin data 
are collected from InPen or pump devices (some of which is keyed) and curated by 
qualified data managers. It is noted that prescribed insulin is used for basal insulin, and 
recorded insulin is used for bolus. 


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Gaps may occur in either parameter. The following conventions will be used: 
• There must be at least 10 days of data available to support any period calculation 
of summary statistics. 
• Day 1 and Day 84 will not be used in any calculation of CGM or insulin. 
• Other visit days will not be used, due to potential disruptions and likely gaps. An 
important note is that all CGM data will be included in the evaluation of 
hypoglycemia events. 
• Data from shift workers (individuals who work outside of normal business hours) 
will not be used for CGM. 
• Insulin data from days with pump failure will not be used. 
• If there is a gap in the measure of more than 8 hours, the 24-hour period will not 
be used. 
• If < 80% of the data are available, the measure will not be used. 
• If blind review (done in accordance with ICH E9 guidance) identifies a gap for 
which inclusion of the day could be misleading, the day will not be used. 
• If a glucose value exceeds 400 mg/dl, the event is examined blinded to treatment 
for evidence of significant deviation from the prescribed insulin regimen, and if 
blind review determines that there is likely significant deviation from the 
prescribed insulin regimen, the days CGM and insulin data will not be used.  
• Device manufacturers for CGM have researched and documented that 
improvements in HbA1c as much as 1% can be observed within 3 months of 
beginning use of the CGM device. In this subject population in consideration for 
the mechanism of action for GKA, it is unexpected for a subject to experience 
changes in HbA1c of more than 1% in either direction. Any observed change of 
more than 1% will be queried to determine whether or not the use of the CGM 
began with the initiation of the study or whether there is some other medical 
explanation from the principal investigator that may reveal a major protocol 
deviation or a dramatic change that is not interpretable for protocol purposes.  
Blind review (done in accordance with ICH E9 guidance) will evaluate protocol 
suitability of the data, if there are explanations disallowed by the protocol; such 


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cases will be judged for appropriateness for use in the primary estimand. Multiple 
imputation based on recursive regression will be used to predict unusable data for 
the primary analysis (supportive analysis will be done using all available data). 
• Significant holidays including Thanksgiving Day and Christmas Day are excluded 
from analysis of CGM. 
8.3 
Invalid Data 
Intensive data management efforts focus on identifying invalid data, providing queries to 
the investigator, and having the site resolve all issues so that it is not necessary for any 
data to be accommodated by the sponsor. However, in the unlikely event that data from 
ECG, vital signs, or other data sources are deemed to be highly improbable during 
blinded data review (done in accordance with ICH E9 guidance) that includes medical, 
clinical, and data management consensus, invalid will be set to missing. Examples 
include pulse rate and blood pressures values when changes in antihypertensive 
medications have been introduced or changes in lipid measurements in the presence of 
changes background medications for lipid control. Conventions for determination of 
invalid data will be made blinded to study treatment and documented in the Data 
Management Plan, the minutes to a blind data review meeting (done in accordance with 
ICH E9 guidance), in the study data tabulation model (SDTM) datasets, in the set of 
tables, figures, and listings (TFLs) appended to the clinical study report (CSR), or in the 
text of the CSR. 
8.4 
Intercurrent Events 
This SAP is constructed to conform to regulatory guidance. In particular, this section is 
included as recommended by ICH E9 (R1) Addendum on estimands and sensitivity 
analysis in clinical trials to the guideline on statistical principles for clinical trials (30 
August 2017).  
ICH E9 Addendum defined an intercurrent event as an event that occurs after treatment 
initiation and either precludes observation of the variable or affects its interpretation.  


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For this study, intercurrent events such as blood transfusion or medical treatment with 
prednisone that would render subsequent values as not protocol-meaningful will be set to 
missing (moved to the SDTM SUPPLB domain to facilitate sensitivity analysis that 
includes the values) and primary statistical methodologies of multiple imputation will be 
used to predict what the values were likely to be had the intercurrent event not happened. 
It is emphasized that values representing intercurrent events as determined by blind data 
review (done in accordance with ICH E9 guidance) by medical, clinical, and data 
management will be flagged as not protocol relevant in the SDTM LB domain, and these 
values will be moved to the supplementary domain (SUPPLB) of the SDTM dataset; the 
flag in the LB dataset indicates a value has been moved for analysis purposes. These 
values will be considered to be missing, and the planned statistical methodologies for 
coping with missing data will be applied for primary analysis. Supportive analysis will be 
done to evaluate with impact of this value on study conclusions.   
8.5 
Missing Data 
Blind data review is recommended by ICH E9 to identify issues that can affect analysis 
prior to database lock, and this SAP is updated in accordance with the recommendation.  
Missing data will be handled using multiple methodologies to ensure valid conclusions 
and to ensure robustness against methods of handling missing data.  
8.6 
Dropouts 
If a subject withdraws from the study, if the date of an adverse event is not available and 
a determination of whether or not the event is treatment emergent cannot be made, by 
convention the event will be considered to be treatment emergent. 
8.7 
Visit Windows 
Assessments taken outside of protocol allowable windows will be displayed according to 
the case report form (CRF) assessment recorded by the investigator. 


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8.8 
Handling of PK Data below limit of quantitation (BLQ) 
Concentration values that are below the limit of quantitation (BLQ) are set to zero for 
summary statistics and mean concentration-time profiles. 
8.9 
Handling of Dropouts or Missing PK Data 
For the concentration data analysis, missing data will not be imputed; analyses will be 
performed only on observed data.  There are to be no substitutions made to accommodate 
for missing data. 
8.10 Unscheduled Assessments 
Extra assessments (laboratory data, ECG, or vital signs associated with non-protocol 
clinical visits or obtained in the course of investigating or managing adverse events) will 
be included in listings, but not by-visit summaries.  It is noted that unscheduled data are 
included in summaries of change to minimum, maximum, first on treatment, last on 
treatment, and last available. If more than one laboratory value is available for a given 
visit, the observation identified by the investigator to be the scheduled assessment will be 
used in summaries; all observations will be presented in listings. 
Data from unscheduled assessments will be included in longitudinal data summaries (e.g., 
minimum, maximum over time). Data planned at scheduled times for which unscheduled 
assessments are taken will not be reflected in by-visit summaries. 
9 
Analysis Deviations 
All statistical analyses and summary information will be generated according to this 
analysis plan. Any deviation from this plan will be documented in the clinical study 
report. Exploratory analyses are permitted per protocol; those analyses will not be 
considered to be deviations. 
 
 


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10 Software 
All analyses will be done using SAS Version 9.4. 
 
 


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11 Data Displays 
The plans for displaying data will conform to this guideline and also to ICH E3 
(Structure and Content of clinical Study Reports), and to ICH E9 (Statistical Principles 
for Clinical Trials). 
The following excerpt from ICH E3 (1996) applies to this SAP: 
“The guidance provided below is detailed and is intended to notify the applicant of 
virtually all of the information that should routinely be provided so that post-
submission requests for further data clarification and analyses can be reduced as 
much as possible. Nonetheless, specific requirements for data presentation and/or 
analysis may depend on specific situations, may evolve over time, may vary from 
drug class to drug class, may differ among regions and cannot be described in general 
terms; it is therefore important to refer to specific clinical guidelines and to discuss 
data presentation and analyses with the reviewing authority, whenever possible. 
Detailed written guidance on statistical approaches is available from some authorities.  
“Each report should consider all of the topics described (unless clearly not relevant) 
although the specific sequence and grouping of topics may be changed if alternatives 
are more logical for a particular study” (p. 2). 
In accordance with FDA and ICH guidance, tables, figures, and key data listings are 
planned. Exploratory and data-driven data displays may also be generated.  
The following displays will be included, but are not limited to, the following: 
• Investigator Enrollment Summary 
• Summary of Accountability (number screened, enrolled, randomized, treated, 
completing, withdrawn, by reason; listing of withdrawals with study day and 
reason) 
• Summary of Subject Tracking (enrollment, visit attendance, withdrawal) 
• Summary of Demography and Background Data 
• Concomitant Medication Use (selected medications) 


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• Summary of HbA1c 
• Summary of CGM 
• Summary of insulin usage 
• Summary of C-peptide  
• Summary of Lactate 
• Summary of Glucagon  
• Summary of Body Weight 
• Summary of Adverse Events  
• Summary of Adverse Events by severity and by relatedness (study drug or 
insulin) 
• Summary of Adverse Events of Special Interest 
• Summary of Vital Signs  
• Summary of ECG Data 
• Summary of Laboratory Data, including LFTs 
• Listing of all Adverse Events 
• Listing of all Adverse Events that resulted in Death 
• Listing of all Serious Adverse Events 
• Listing of all Adverse Events resulting in Study Termination 
• Listing of Treatment-emergent Abnormal Values for Clinical Laboratory Data 
• Listing of Clinical Laboratory Data (changes and percent changes) 
• Listing of Vital Signs Data 
• Listing of ECG Data 
• Listing of Concentration Data 


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12 References 
1. Richardson, H.R. (1970, July). Recursive regression when the least-squares estimate is 
not asymptotically efficient. SIAM Jr on App Math, Vol. 19, No 1.  
2. ICH. (1996, July 30). ICH Harmonized tripartite guideline: Structure and content of 
clinical study reports (E3). International Conference on Harmonization of Technical 
Requirements for Registration of Pharmaceuticals for Human Use. 
3. ICH. (1997, July 17). ICH Harmonized tripartite guideline: General considerations for 
clinical trials (E8). International Conference on Harmonization of Technical 
Requirements for Registration of Pharmaceuticals for Human Use. 
4. ICH. (1998, February 5). ICH Harmonized tripartite guideline: Statistical principles for 
clinical trials (E9). International Conference on Harmonization of Technical 
Requirements for Registration of Pharmaceuticals for Human Use. 
5. Ludvik, B, Neuffer, B, Pacini, G. (2004, February). Efficacy of Ipomoea batatas (Caiapo) 
on diabetes control in type 2 diabetic subjects treated with diet. Diabetes Care, Volume 
27, Number 2.  
6. ICH. (2005, October). ICH Harmonized tripartite guideline: Clinical evaluation of 
QT/QTc interval prolongation and proarrhythmic potential for non-antiarrhythmic drugs 
(E14). International Conference on Harmonization of Technical Requirements for 
Registration of Pharmaceuticals for Human Use. 
7. European Medicines Agency. (2007, October). Guidance “Reflection Paper On 
Methodological Issues In Confirmatory Clinical Trials Planned With An Adaptive 
Design.” 
8. CDER. (2008, February). Draft Guidance for Industry Diabetes Mellitus: Developing 
Drugs and Therapeutic Biologics for Treatment and Prevention. 
9. CDER and CBER. (2009, July). Guidance for industry: Drug-induced liver injury: 
premarketing clinical evaluation. 
10. CDER and CBER (2010, February). FDA draft guidance Adaptive Design for Clinical 
Trials for Drugs and Biologics. 
11. National Research Council. (2010). The prevention and treatment of missing data in 
clinical trials. Panel on Handling Missing Data in Clinical Trials. Committee on National 
Statistics, Division of Behavioral and Social Sciences and Education. Washington, DC: 
The National Academies Press. 
12. CDER and CBER. (2012, December). Draft guidance for industry “Enrichment strategies 
for clinical trials to support approval of human drugs and biological products.” 


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13. Permutt, T. (2013, April 30). DIA/FDA Statistics Forum 2013, Session Topic: 
Missing Data. Bethesda, MD.   
14. ICH. (2018, February 28). ICH Harmonized tripartite guideline: ICH E9 (R1) Addendum 
on estimands and sensitivity analysis in clinical trials to the guideline on statistical 
principles for clinical trials (E9 addendum). International Conference on Harmonization 
of Technical Requirements for Registration of Pharmaceuticals for Human Use. 
 


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13 Schedule of Time and Events 
Schedule of Activities (Part 2) 
Screenin
g 
 
Basal 
Insulin 
Adjustment 
Period 
Baseline 
CGM 
Period 
(Week -2 
to Week 
0) 
Dosing Period 
(Week 0 to Week 12) 
E
T 
E0S 
Visit 
Screenin
g 
Basal 
Insulin 
Adjustment 
Week -2 
Week 0 
/Day 1 
Week 2 
Week 6 
Week 10 
Week 
12 
E
T 
F/U 
Visit duration/window 
 
Up to 3 
weeks 
At least 
13 days 
 
± 3d 
± 3d 
± 3d 
At least 
13 days 
 
 
Sign informed consent 
X 
 
 
 
 
 
 
 
 
 
Registration 
X 
 
 
 
 
 
 
 
 
 
Enrollment 
 
 
X 
 
 
 
 
 
 
 
Randomization 
 
 
 
X 
 
 
 
 
 
 
Collect demographic information  
X 
 
 
 
 
 
 
 
 
 
Review of Inclusion/Exclusion 
Criteria 
X 
 
X 
X 
 
 
 
 
 
 
Medical history/ AE monitoring  
X 
 
X 
X 
X 
X 
X 
X 
X 
X 
Concomitant Medication 
history/update 
X 
 
X 
X 
X 
X 
X 
X 
X 
X 
Physical exam  
X1 
 
 
X2 
 
 
 
X2 
X2 
 
Body weight  
X 
 
X 
X 
X 
X 
 
X 
X 
X 
Sitting vitals and blood pressure 
X 
 
X 
X4 
X 
X 
 
X 
X 
X 
Supine 12-lead ECG  
X 
 
X 
X5 
X 
X 
 
X 
X 
X 
Clinical chemistry, hematology, 
lipids and glycemic markers3 
X 
 
 
X3 
X 
X 
 
X 
X 
X 
Collect PK samples6 
 
 
 
X 
 
X 
 
X 
X 
 
Collect retention samples 
(optional, exploratory) 
 
 
 
X 
 
X 
 
X 
X 
 
Collect urine for urinalysis  
X 
 
 
X 
X 
X 
 
X 
X 
X 
Collect urine for pregnancy test7 
X7 
 
X 
X7 
X 
X 
X 
X 
X 
X7 
Administer DTSQs   
X 
 
 
 
 
 
 
X 
 
 
Administer DTSQc  
 
 
 
 
 
 
 
X 
 
 
Ask QOL question and enter 
answer in EDC 
 
 
 
 
 
 
 
X 
 
 
Provide glucometer and 
glucometer strips, if needed8 
 
X 
X 
X 
X 
X 
X 
 
 
 
Provide insulin dosing collection 
device (if needed)9 
 
X 
X 
 
 
 
 
 
 
 
Apply Sponsor CGM  
 
 
 
X 
 
 
 
X 
 
 
 
Collect and Review Sponsor 
CGM10  
 
 
 
 
X 
 
 
 
X 
X 
 
Collect insulin dosing data and 
glucose data needed for insulin 
adjustment11 
 
X 
X 
X 
X 
X 
X 
X 
 
X 
Administer study drug with 
morning meal12 
 
 
X 
X 
 
 
 
 
 
 
Collect unused drug/compliance 
check (via pill count)  
 
 
 
X 
X 
X 
X 
X 
X 
 
Dispense blinded study medication 
based on IWRS  
 
 
X 
X 
X 
X 
X 
 
 
 
Contact patient by telephone or 
text 13 
 
X 
X 
X 
 
X 
X 
 
 
 
 
 


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1 Full physical exams, including height, are to be conducted at Screening  
2 Limited physical exams will be conducted at Week 0 and Week 12 and ET (if applicable) 
3 Refer to Laboratory Manual for Sample Collection Instructions and Appendix 2 (Part 2); At Week 0/Day 1 visit confirm patient 
is fasted prior to labs.  Reschedule visit if subject is not fasted. 
4 Baseline vitals obtained in triplicate, prior to dosing on Week 0, single readings all other visits except Week 10 (no vitals) 
5 Baseline ECG obtained in triplicate, prior to dosing on Week 0, single readings all other visits except Week 10 (no ECGs) 
6 Blood samples will be obtained for TTP399 concentrations prior to dosing if dosing is conducted at visit 
7 Urine pregnancy tests should be conducted for all females at Screening, Week 0 and F/U.  Urine pregnancy tests for WCBP 
are required at all visits. 
8 Glucometers and related supplies will be supplied to patients who don’t have CGM devices or have CGM devices that require 
calibration.   
9 Patients using MDI will be provided an electronic device to collect insulin dosing information to use throughout the trial. 
Device will be provided at either the basal insulin adjustment period visit, if applicable, or the Week -2 visit if no basal insulin 
adjustment period is needed.  
10 For CGM collection information refer to Section 4.2 Part 2 
11 For insulin dosing collection information and instructions on insulin dose adjustments refer to Section 4.3 Part 2 and Section 
8.11 
12 Administer study drug following VS, ECG, and blood and urine sample collections at Week -2 and Week 0/Day 1. Meal can be 
provided by the site or brought to the site by the patient.    
13 Site should contact the patient approximately every third day during insulin adjustment period and at Week -1, Week 1, Week 
4, and Week 8 of the dosing period. Phone call is preferred, but text is allowed. 
 
 


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14 Values of Clinical Concern 
Parameter 
Threshold (study-specific threshold calculated) 
Hematology 
 
Hemoglobin 
<8.5 g/dL   
Hematocrit 
<25 % 
WBC (Leukocytes) 
<0.6 x LLN  
Platelets 
<0.5 x LLN  
Total Neutrophils (Abs) 
<1000/uL  
 
Lymphocytes (Abs) 
 <500/µL 
Chemistry 
 
Total bilirubin 
>2.5 x ULN  
AST 
>3 x ULN  
ALT 
>3 x ULN  
Alk Phosphatase 
>3 x ULN  
Creatinine 
>2 mg/dL 
BUN 
>1.4 x ULN  
Calcium 
<6.0 mg/dL and  >13.0 mg/dL 
Triglycerides 
Two tiers: ≥500 mg/dL and  ≥ 1000mg/dL 
Electrocardiogram 
PR interval 
≥200 msec and ≥25% increase from baseline 
QRS interval 
≥200 msec and ≥25% increase from baseline   
QTcF interval 
≥500 msec New onset.   
≥30-60 msec increase from baseline 
>60 msec increase from baseline 
Vitals (sitting)   
SBP 
≥190 mmHg (entry is < 160 mmHg)  
Systolic <80 mm Hg 
Decrease from baseline >30 mmHg 
DBP 
≥ 110 mmHg (entry is < 90 mmHg)  
<50 mm Hg 
Change from baseline of 20mmHg (increase or decrease) 
Heart Rate 
<50 bpm and >/=25% decrease from baseline 
>100 bpm and >/=25% increase from baseline 
 
Parameters not provided with specific thresholds for clinical concern:  RBC count, eosinophils, basophils, 
monocytes, direct or indirect bilirubin (just total as shown above), chloride, albumin, total protein, insulin, 
total cholesterol, HDL, LDL, urinalysis, pulse rate from VS (rely on ECG heart rate).