Sex Differences in Clinical Characteristics and Outcomes After Myocardial Infarction: Insights from the Valsartan in Acute Myocardial Infarction Trial (VALIANT)
Bibliographic record
Abstract
BACKGROUND: We examined the association of sex with clinical characteristics and outcomes in patients following myocardial infarction (MI) in the Valsartan in Acute Myocardial Infarction Trial (VALIANT). METHODS AND RESULTS: A total of 4570 women and 10 133 men with heart failure (HF), left ventricular systolic dysfunction or both were enrolled 0.5-10 days after myocardial infarction (MI) and followed for a median of 24.7 months. Compared with men, women were older, had more comorbidities, and were more likely to present in Killip Class III/IV and experience post-infarction angina or HF. After adjusting for baseline differences, both short-term and longer-term mortality were similar in men and women. However, women were more likely than men to experience the composite outcome of cardiovascular death, MI, HF, stroke, and resuscitation from cardiac arrest [adjusted hazard ratio (HR) 1.15; 95% confidence interval (CI); 1.06-1.24, P=0.001], mainly owing to an increased risk of hospitalization for HF (adjusted HR 1.36; 95% CI 1.22-1.52; P<0.001). In a subset of patients who underwent echocardiographic study (n=603), women had smaller left ventricular volumes indexed by body size than men but similar ejection fractions and similar changes in ventricular volumes from baseline to 1 month and 20 months. CONCLUSIONS: In VALIANT, the risk of HF following MI was higher in women than men after adjusting for age and comorbidities, although the risk of other fatal and non-fatal outcomes were similar. The higher long-term risk of HF in women appears to be independent of the extent of left ventricular systolic dysfunction or remodelling compared with men.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.002 |
| 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".