Effect of Alirocumab on Incidence of Atrial Fibrillation After Acute Coronary Syndromes: Insights from the ODYSSEY OUTCOMES Trial
Bibliographic record
Abstract
Background Using data from the ODYSSEY OUTCOMES trial (NCT01663402), we sought to identify factors associated with the development of incident atrial fibrillation in patients with recent acute coronary syndrome without prior atrial fibrillation and to determine whether alirocumab treatment influenced risk of incident atrial fibrillation. Methods ODYSSEY OUTCOMES compared alirocumab treatment with placebo in 18,924 patients with recent acute coronary syndrome and dyslipidemia despite high-intensity or maximum-tolerated statin therapy. The primary outcome of major adverse cardiovascular events (MACE) comprised death from coronary heart disease, non-fatal myocardial infarction, fatal or non-fatal ischemic stroke, or unstable angina requiring hospitalization. Patients were classified as having previous atrial fibrillation (present prior to or at randomization) or no previous atrial fibrillation. A multivariable model was used to determine factors associated with incident atrial fibrillation. Results Among 18,262 participants without prior atrial fibrillation at baseline, 499 (2.7%) had incident atrial fibrillation during follow-up. Older age, history of heart failure or myocardial infarction, and higher body mass index were significantly associated with incident atrial fibrillation. Treatment with alirocumab or placebo did not influence the cumulative incidence of atrial fibrillation (hazard ratio 0.91; 95% confidence interval, 0.77-1.09). Patients with vs without a history of atrial fibrillation had a higher incidence of MACE (8.8 vs 3.7 events per 100 patient-years), without significant interaction between atrial fibrillation and randomized treatment on risk of MACE ( P interaction = .78). Conclusions While alirocumab did not modify risk of incident atrial fibrillation after acute coronary syndrome, it did reduce the risk of MACE, regardless of prior atrial fibrillation history. History of atrial fibrillation is an independent predictor of recurrent cardiovascular events after acute coronary syndrome.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".