Vernakalant versus procainamide for rapid cardioversion of patients with acute atrial fibrillation (RAFF4): randomised clinical trial
Bibliographic record
Abstract
Abstract Objective To conduct a randomised, open label comparison of the effectiveness and safety of intravenous vernakalant and intravenous procainamide for the management of acute atrial fibrillation in the emergency department. Design Randomised clinical trial (RAFF4 trial). Setting 12 tertiary care emergency departments in Canada. Participants Patients with acute atrial fibrillation for whom acute rhythm control was a safe option. Interventions Patients were randomised (1:1) to an intravenous infusion of vernakalant or procainamide; when rapid conversion did not occur, patients were offered electrical cardioversion. Main outcomes and measures The primary outcome was conversion to sinus rhythm within 30 minutes of drug infusion completion. Secondary outcomes included time to conversion to sinus rhythm and whether the patient required electrical cardioversion. Results Of the 350 enrolled eligible patients, baseline characteristics were similar in the procainamide (n=172) and vernakalant (n=178) groups. For the primary outcome of conversion success, vernakalant was more effective (62.4% v 48.3%; adjusted absolute difference 15.0%, 95% confidence interval 4.6% to 25.0%, P=0.005; adjusted odds ratio 1.87, 95% confidence interval 1.2 to 2.9, P=0.006). With vernakalant, time to conversion was faster (21.8 v 44.7 minutes; mean difference −22.9, 95% confidence interval −29.9 to −16.0, P<0.001), and fewer patients underwent attempted electrical cardioversion (33.7% v 44.2%; odds ratio 0.62, 95% confidence interval 0.39 to 0.96, P=0.033). Adverse events were similar in both groups, were generally mild and brief, and most patients were discharged home. Subgroup analysis strongly favoured vernakalant for conversion in patients younger than 70 years (73.3% v 47.2%; adjusted odds ratio 3.1, 95% confidence interval 1.7 to 5.5, P=0.001, interaction P=0.005). Conclusions In this head-to-head comparison, vernakalant was superior to procainamide for patients with higher conversion rates and faster times to conversion. Therefore, vernakalant is a safe and highly effective intravenous alternative for the rapid cardioversion and discharge home of patients with acute atrial fibrillation. Trial registration ClinicalTrials.gov NCT04485195
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".