The Association of Atrial Fibrillation Before Percutaneous Coronary Intervention With 1-Year Outcome in ST-Elevation Myocardial Infarction Patients
Bibliographic record
Abstract
BackgroundWe aimed to determine the association of atrial fibrillation (AF) with 1-year outcome in ST-elevation myocardial infarction (STEMI) patients undergoing primary percutaneous coronary intervention (PCI).MethodsPatients (n = 8830) enrolled in the Trial of Routine Aspiration Thrombectomy with PCI vs PCI Alone in Patients With STEMI (TOTAL) were followed for 1 year. The primary outcome was a composite of cardiovascular death, recurrent myocardial infarction, cardiogenic shock, or new or worsening class IV heart failure. The presence or absence of AF was determined from a single pre-PCI electrocardiogram.ResultsPatients with AF (n = 437; 4.9%) were older, and more often had a history of stroke, hypertension, or myocardial infarction. The rate of the primary outcome was higher in the AF group than in the sinus rhythm (SR) group (17.4% vs 7.4%, P < 0.001), as was the rate of cardiovascular death (9.8% vs 3.3%, P < 0.001). In multivariable analysis, AF was independently predictive of the primary outcome (adjusted hazard ratio [aHR] 1.68; 95% confidence interval [CI], 1.30-2.16, P < 0.001), cardiovascular death (aHR 1.69; 95% CI, 1.19-2.40, P = 0.003), all-cause mortality (aHR 1.63; 95% CI, 1.18-2.24, P = 0.003), and severe heart failure (aHR 1.96; 95% CI, 1.25-3.07, P = 0.003). Among patients who were in SR, the primary outcome occurred in 307 of 4252 (7.2%) in the thrombectomy group and 310 of 4141 (7.5%) in the PCI alone group, and among those with AF, these rates were respectively 42 of 218 (19.3%) and 34 of 219 (15.5%) (Pinteraction = 0.26).ConclusionsIn STEMI patients, AF on the pre-PCI electrocardiogram is associated with a higher risk of the primary composite cardiovascular outcome, all-cause and cardiovascular death, and severe heart failure during 1-year follow-up than it is in patients with SR.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".