Outcomes in non-ST-segment elevation myocardial infarction patients according to heart failure at admission: Insights from a large trial with systematic early invasive strategy
Bibliographic record
Abstract
BACKGROUND: Previous studies published before the era of systematic early invasive strategy have reported a higher mortality in non-ST-segment elevation myocardial infarction patients with heart failure. The aim of our study was to compare the clinical characteristics, outcomes and causes of death of patients according to their heart failure status at admission in a large non-ST-segment elevation myocardial infarction population with planned early invasive management. METHODS: We performed a post-hoc analysis of the Treatment of Acute Coronary Syndrome with Otamixaban randomised trial which included non-ST-segment elevation myocardial infarction patients with systematic coronary angiography within 72 h. Patients were categorised according to presence or absence of heart failure (Killip grade ≥2) at admission. RESULTS: A total of 13,172 patients were enrolled, of whom 944 (7.2%) had heart failure. At day 30, death occurred in 213 patients (1.6%) and cardiovascular death was the dominant cause of death in both groups ((with vs without heart failure) 78.8% vs 78.4%, p = 0.94). At six months, death occurred in 90/944 (9.5%) patients with heart failure and 258/12228 patients without heart failure (2.1%) (p < 0.001). After adjustment on Global Registry of Acute Coronary Events risk score, heart failure was an independent predictor of all-cause mortality at day 30 (odds ratio: 1.58; 95% confidence interval, 1.06-2.36, p = 0.02) and at day 180 (odds ratio: 1.77; 95% confidence interval, 1.3-2.42, p < 0.001) as well as of ischaemic complications (cardiovascular death, myocardial infarction, stent thrombosis or stroke at day 30 (odds ratio: 1.28; 95% confidence interval, 1.01-1.62, p = 0.04). CONCLUSION: Non-ST-segment elevation myocardial infarction patients with heart failure at admission still have worse outcomes than those without heart failure, even with systematic early invasive strategy. Further efforts are needed to improve the prognosis of these high risk patients.
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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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".