Bradyarrhythmia After Remdesivir Administration in SARS-CoV-2: A Review of Literature and Meta-Analysis of Observational Studies in Epidemiology
Bibliographic record
Abstract
Background: The coronavirus disease 2019 (COVID-19) pandemic has required timely and informed decisions about treatment recommendations for clinical practice. One such drug used for the treatment of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is remdesivir (RDV), and several cardiac side effects have been reported including bradyarrhythmia (e.g., transient sinus bradycardia, symptomatic sinus bradycardia, complete atrioventricular (AV) block). The current study aimed to explore the association between RDV treatment for SARS-CoV-2 infection and the risk of bradyarrhythmia by presenting a review and meta-analysis of available published studies. Methods: We presented a review of published literature and meta-analysis of observational studies (MOOSE). A narrative summary of RDV and bradyarrhythmia in COVID-19 infection and pooled analysis of observational studies that meet inclusion criteria was included. Studies included were published between January 2020 and December 2021 (identified through PubMed and ScienceDirect) and examined the association between treatment with RDV in SARS-CoV-2 infection and the risk of bradyarrhythmia. Results: Three studies (two retrospective cohort studies and one prospective cohort study) met inclusion criteria for pooled meta-analysis of bradyarrhythmia and RDV therapy in COVID-19 patients. Treatment with RDV was associated with increased risk of sinus bradycardia when compared to controls (odds ratio 3.27 (95% confidence interval 1.90 - 5.63)). In the pooled analysis, the incidence of bradycardia in those that received RDV was 34.07% vs. 18.13% among controls. Thirteen case reports, three case series, and three disproportionality analyses were identified in review of the literature. Conclusion: Data from real-world observational studies suggest that treating COVID-19 patients with RDV may predispose the development of bradyarrhythmia. The importance of this observation is of uncertain clinical significance as some observational studies have reported more favorable outcomes among patients who experience bradycardia after RDV therapy. The current study is limited by the small number of studies that could be meaningfully pooled and more well-designed cohort studies are needed to explore this association.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.021 | 0.050 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.035 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".