The Association of Atrial Fibrillation Before Percutaneous Coronary Intervention With 1-Year Outcome in ST-Elevation Myocardial Infarction Patients
Bibliographic record
Abstract
Background We 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). Methods Patients (n = 8830) enrolled in the T rial o f Routine Aspiration T hrombectomy with PCI vs PCI Al one 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. Results Patients 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%) ( P interaction = 0.26). Conclusions In 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 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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".