Remdesivir-Induced Bradycardia and Mortality in SARS-CoV-2 Infection, Potential Risk Factors Assessment: A Systematic Review and Meta-Analysis.
Ming-Ying AiWei-Lun ChangChia-Jui YangPublished in: Journal of clinical medicine (2023)
Background : The efficacy of remdesivir in reducing disease severity among COVID-19-infected patients has been established, but concerns have emerged regarding the potential side effects of bradycardia. The aim of this study was to investigate the association between remdesivir-induced bradycardia and mortality, while also identifying the related risk factors. Materials and methods : The PubMed/Medline, Cochrane Central and ClinicalTrials.gov databases were searched. Randomized controlled trials and prospective or retrospective cohort studies were included (through 14 July 2023). The random-effects model was implemented using Comprehensive Meta-Analysis software version 3.0 to examine the outcomes. Results : A total of 12 prospective or retrospective studies involving 7674 patients were analyzed. The primary outcomes revealed a significant association between remdesivir administration and bradycardia development (Odds ratio = 2.556, 95% CI = 2.049-3.188, p < 0.001). However, no statistically significant increase in the mortality rate was observed among patients with bradycardia during remdesivir treatment (Odds ratio = 0.872, 95% CI = 0.483-1.576, p = 0.651). The secondary outcome demonstrated a significant association between chronic kidney disease (CKD) and remdesivir-induced bradycardia (OR: 1.251, 95% CI: 1.003-1.561, p = 0.047). Moreover, patients with obesity (OR = 1.347, 95% CI = 1.098-1.652, p = 0.004) were more likely to experience remdesivir-induced bradycardia. Conclusions : Although a higher risk of bradycardia occurred during remdesivir treatment, the occurrence of remdesivir-induced bradycardia did not lead to higher mortality. Our study also identified patients with obesity and CKD as high-risk subgroups for experiencing bradycardia during remdesivir treatment.
Keyphrases
- risk factors
- chronic kidney disease
- end stage renal disease
- high glucose
- diabetic rats
- systematic review
- cardiovascular events
- drug induced
- metabolic syndrome
- type diabetes
- weight loss
- coronavirus disease
- insulin resistance
- sars cov
- clinical trial
- endothelial cells
- machine learning
- coronary artery disease
- oxidative stress
- ejection fraction
- physical activity
- weight gain
- stress induced
- big data
- human health
- neural network
- data analysis
- patient reported