Vernakalant Hydrochloride for the Rapid Conversion of Atrial Fibrillation After Cardiac Surgery
Bibliographic record
Abstract
BACKGROUND: Postoperative atrial arrhythmias are common and are associated with considerable morbidity. This study was designed to evaluate the efficacy and safety of vernakalant for the conversion of atrial fibrillation (AF) or atrial flutter (AFL) after cardiac surgery. METHODS AND RESULTS: This was a prospective, randomized, double-blind, placebo-controlled trial of vernakalant for the conversion of AF or AFL after coronary artery bypass graft, valvular surgery, or both. Patients were randomly assigned 2:1 to receive a 10-minute infusion of 3 mg/kg vernakalant or placebo. If AF or AFL was present after a 15-minute observation period, then a second 10-minute infusion of 2 mg/kg vernakalant or placebo was given. The primary end point was the conversion of postcardiac surgery AF or AFL to sinus rhythm within 90 minutes of dosing. In patients with AF, 47 of 100 (47%) who received vernakalant converted to SR compared with 7 of 50 (14%) patients who received placebo (P<0.001). The median time to conversion was 12 minutes. Vernakalant was not effective in converting postoperative AFL to sinus rhythm. Two serious adverse events occurred within 24 hours of vernakalant administration (hypotension and complete atrioventricular block). There were no cases of torsades de pointes, sustained ventricular tachycardia, or ventricular fibrillation. There were no deaths. CONCLUSIONS: Vernakalant was safe and effective in the rapid conversion of AF to sinus rhythm in patients who had AF after cardiac surgery. CLINICAL TRIAL REGISTRATION: clinicaltrials.gov. Identifier: NCT00125320.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".