Long-Term Outcomes for Patients With Acute Coronary Syndrome and Nonvalvular Atrial Fibrillation
Bibliographic record
Abstract
Short-term outcomes are worse for patients with acute coronary syndrome (ACS) with a history of nonvalvular atrial fibrillation (NVAF). However, long-term prognosis remains unclear. We linked administrative health databases to identify patients hospitalized with ACS (ST-elevation myocardial infarction [STEMI], non-STEMI [NSTEMI], and unstable angina) between 2008 and 2019 in Alberta, Canada. Patients were stratified according to history of NVAF before hospitalization. The primary outcome was a composite of all-cause mortality, hospitalization for myocardial infarction, or stroke at 3 years. Cox models were constructed to estimate the association between ACS, NVAF, and outcomes. Of 54,309 ACS hospitalizations, 6,351 patients (11.7%) had a history of NVAF. Compared with patients without NVAF, patients with previous NVAF were older (75.6 ± 11.6 vs 64.9 ± 13.4 years), women (35.1% vs 30.0%), had higher comorbid burden (Charlson co-morbidity index 3.0 vs 1.0), and more often presented with NSTEMI (57.5% vs 49.0%). The primary outcome occurred in 37.0% of patients with previous NVAF and 17.4% without (p <0.001). In the multivariable analysis, there was a 1.14-fold (95% confidence interval [CI] 1.09 to 1.20) higher risk of the primary outcome in patients with previous NVAF. There was a significant association with STEMI (adjusted harazard ratio [aHR] 1.24, 95% CI 1.12 to 1.36) and NSTEMI (aHR 1.12, 95% CI 1.06 to 1.19) but not with unstable angina (aHR 1.04, 95% CI 0.90 to 1.22). In conclusion, in this population-based study, we identified that a history of NVAF at ACS presentation is associated with worse long-term prognosis, particularly for STEMI and NSTEMI.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".