Long-term mortality after ST-elevation myocardial infarction in the reperfusion and modern secondary prevention therapy era according to coronary artery disease extent: The FAST-MI registries
Bibliographic record
Abstract
BACKGROUND: Historical cohorts have shown extent of coronary artery disease to be a predictor of poorer outcomes in ST-segment elevation myocardial infarction. However, contemporary data in the era of reperfusion and modern secondary prevention therapy are lacking. AIM: To compare 3-year survival in patients with ST-segment elevation myocardial infarction with multivessel disease versus those with single-vessel disease. METHODS: Using data from the FAST-MI 2005, 2010 and 2015 registries, three nationwide French surveys, we included all patients with ST-segment elevation myocardial infarction who underwent primary percutaneous coronary intervention within 24hours of symptom onset. Baseline characteristics, management and 3-year all-cause mortality were analysed according to coronary status (single-, two- and three-vessel disease). RESULTS: Among 3907 patients (mean age 62.4±13.7 years; 75.9% male), patients with multivessel disease (two- or three-vessel disease) accounted for 47.9%; overall, they were older, with higher cardiovascular risk profiles. In a multivariable adjusted Cox proportional hazard regression model, only patients with three-vessel disease had a higher rate of mortality at 3 years compared with those with single-vessel disease (hazard ratio 1.52, 95% confidence interval 1.68-2.26; P<0.001). Finally, patients with multivessel disease with complete myocardial revascularization before discharge had a similar prognosis to patients with single-vessel disease (hazard ratio 1.17, 95% confidence interval 0.84-1.64; P=0.35). CONCLUSIONS: Multivessel disease still represents an important proportion of patients with ST-segment elevation myocardial infarction. Although three-vessel disease is associated with higher 3-year mortality, patients with multivessel disease and complete myocardial revascularization in the contemporary era have a 3-year risk of death similar to that in patients with single-vessel disease.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".