Remdesivir (VEKLURY) for Treating COVID-19: Guinea Pig Ex Vivo and In Vivo Cardiac Electrophysiological Effects
Bibliographic record
Abstract
ABSTRACT: Bradycardia and QTc interval prolongation on the ECG have been reported with remdesivir (Veklury), an antiviral drug recently approved for treating severely ill patients with COVID-19. The objective was to evaluate the effects of remdesivir on cardiac electrophysiology ex vivo and in vivo. Ex vivo: Langendorff retroperfusion experiments were performed on isolated hearts from male Hartley guinea pigs (n = 23, total) exposed to either remdesivir 3, 10, or 30 µmol/L to assess drug-induced prolongation of the monophasic action potential duration measured at 90% repolarization (MAPD 90 ). In vivo: ECG recordings using wireless cardiac telemetry were performed in guinea pigs (n = 6) treated with daily i.p. doses of remdesivir 5 mg/kg on day 1 and 2.5 mg/kg on days 2-10. Ex vivo remdesivir (3, 10, and 30 µmol/L) had no statistically significant effect on MAPD 90 , while pacing the hearts at basic stimulation cycle lengths of 200 or 250 milliseconds, or when the hearts were not paced and beating at their intrinsic heart rate. In a second set of similar ex vivo experiments, remdesivir 10 µmol/L did not potentiate the MAPD 90 -prolonging effects of dofetilide 20 nmol/L (n = 4) hearts. In vivo remdesivir caused small but statistically significant prolongations of the RR and QTc F intervals at day 1 (5 mg/kg) and at day 10 (2.5 mg/kg). No ventricular arrhythmias were ever observed under the effect of remdesivir. Remdesivir causes bradycardia, and mild QTc prolongation, which nonetheless, could be of clinical relevance in many hospitalized patients with COVID-19 concomitantly treated with multiple drugs.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".