Linear mixed model analysis to evaluate correlations between remdesivir adverse effects with age and gender of patients with mild Covid-19 pneumonia

Impact of Remdesivir on inflammatory and prognostic markers of COVID-19: Findings of an event-monitoring study

Introduction

Remdesivir is currently approved for treating hospitalised patients with COVID-19. However, it is a priority to monitor its safety and effectiveness in various clinical settings. This study was undertaken to assess the impact of remdesivir on inflammatory and prognostic markers of COVID-19.

Materials and Methods

A hospital-based prospective longitudinal study was conducted over two months comprising event monitoring of COVID-19 patients administered remdesivir as per standard guidelines. The demographic details, risk factors and all baseline parameters were collected. The patients were followed up for the appearance of any adverse drug reactions (ADRs) after the start of remdesivir therapy from Day 1 to discharge or death every day. Repeat Lab tests were done on days 2, 4, 6 and 10 days to assess the impact of remdesivir on inflammatory and prognostic markers of COVID-19 over time. Significant predictors of survival in the cohort were also assessed.

Results

A total of 60 COVID-19 patients were administered remdesivir. The mean age of the patients was 59.2 (+13.7) years. There was a significant improvement in the serum creatinine (decreased from 0.9 to 0.7 mg/dL), lymphocyte count {decreased from 9.2 to 7.3 (109 cells/L)} and serum sodium (increased from 134.6 to 137.4) of the patients over six days after the administration of remdesivir. The significant survival predictors were multiple organ failure (P 0.046) and WBC count on Day 10 (P 0.001).

Conclusion

Remdesivir administration improved the prognostic biomarker profile in COVID-19 patients.

Evaluation of Remdesivir Utilization Pattern in Critically Ill Patients With COVID-19 in Jazan Province

Background Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus that causes coronavirus disease 2019 (COVID-19), has spread around the world, spurring the biomedical community to find and create antiviral therapies. The agent remdesivir, which has undergone a protracted and tortuous developmental path, is one potential therapeutic strategy now being assessed in several clinical trials. A broad-spectrum antiviral drug called remdesivir has already shown antiviral effects against filoviruses. Remdesivir was suggested as an exploratory medicine early in the pandemic because in vitro tests showed it to have antiviral effectiveness against SARS-CoV-2. Methods We conducted a retrospective cohort study that examined patient data captured through an electronic medical system at the Abu Arish General Hospital between 2021 and 2022. Data analysis was performed with SPSS version 25.0 (Armonk, NY: IBM Corp.). Results A total of 88 patients were included in this study. With the usage of remdesivir, our risk model is able to forecast adverse events and the case fatality rate. In contrast to D-dimer and c-reactive proteins, we showed that alanine transaminase (ALT), aspartate aminotransferase (AST), serum creatinine, and hemoglobin are relevant variables. Conclusion Our risk model can predict the adverse reactions and case fatality rate with the use of remdesivir. We demonstrated ALT, AST, serum creatinine, and hemoglobin as important variables rather than D-dimer and c-reactive proteins.