Clinical trial NCT05308524: Scoring Systems covid19
Official title: Role of Disease Severity Scoring Systems in Predicting Mortality covid19 Pts in AUH
Study type: OBSERVATIONAL
Overall status: UNKNOWN
Conditions: ICU Scoring System in Covid 19
Lead sponsor: Assiut University
Sponsor class: OTHER
First posted: 2022-04-04
Enrollment: 70
Sex: ALL
Minimum age (years): 18
Maximum age (years): 90
Standard ages: ADULT
OLDER_ADULT
Observational model: COHORT
Time perspective: PROSPECTIVE
Sampling method: NON_PROBABILITY_SAMPLE
Study population: Sample size was calculated using Epi- Info7. Based on previous studies the mortality rate of Covid-19 ICU admitted patients varies between countries, in low resources sittings the mortality rate was around 50% \*\[7 \]\*. With a confidence limits of 10% and a confidence level of 90% the minimum number of patients required for this study is 70 patients

Brief summary: In this study, we planned to investigate the role and determine the predictive performance of both APACHE II and SAPS II scoring systems and compare them in COVID-19 patients admitted to the intensive care unit of Assiut University Hospital.

Detailed description: Since the start of the coronavirus disease 2019 (COVID-19) pandemic, intensive care units (ICUs) worldwide have struggled to treat affected patients who require a completely different approach to treatment than other patients

* \[1\]\* .This study aims to evaluate the efficacy of single dose analgesia in combination with local anaesthesia to control pain during TUS guided procedures. It also aims to assess the effect of its use on procedure performance time and rate of complications occurrence compared to local anaesthesia alone.Although many severe cases are admitted to ICUs, it is unknown whether the conventional disease-severity scoring systems that were developed for ICU patients can be applied to patients with COVID-19.Several recent studies have used Acute Physiology and Chronic Health Evaluation (APACHE) and Simplified Acute Physiology Score (SAPS) to provide information on the clinical severity of COVID-19
* \[2-4\]\*. However, very few reports have examined their validity of applying them to patients with COVID-19.

Eligibility criteria: Inclusion Criteria:•

* • This study will be conducted on laboratory-confirmed COVID-19 patients who will be transferred to the intensive care unit of Assiut University Hospital

Exclusion Criteria:

* Patients would be excluded from this study if they died or were discharged from the intensive care unit prior collection of data required for both the APACHE II and SAPS II scoring systems, if they were discharged before their outcomes were determined and if we could not obtain consent from them or their companions to participate in this study. All patients involved will be subjected to a full history with special stress on age, gender, special habits, and associated diseases. Information such as the patient's need for ventilatory support as well as the length of ICU stay will be entered. Also, the laboratory results and Imaging findings will be registered. Scores of APACHE II and SAPS II were calculated as illustrated in the previously published works \*\[5,6\]\* .Patients will be followed up until their outcome was determined.

Primary outcomes:
measure: ICU scoring system in covid 19
timeFrame: Baseline
Secondary outcomes:
Other outcomes:
Locations:
Study officials:
References:
citation: Dong E, Du H, Gardner L. An interactive web-based dashboard to track COVID-19 in real time. Lancet Infect Dis. 2020 May;20(5):533-534. doi: 10.1016/S1473-3099(20)30120-1. Epub 2020 Feb 19. No abstract available.
citation: Michard F, Vieillard-Baron A. Critically ill patients with COVID-19: are they hemodynamically unstable and do we know why? Intensive Care Med. 2021 Feb;47(2):254-255. doi: 10.1007/s00134-020-06238-5. Epub 2020 Sep 10. No abstract available.