Sex Differences in Clinical Characteristics and Prognosis in a Broad Spectrum of Patients With Heart Failure
Bibliographic record
Abstract
BACKGROUND: We wished to test previous hypotheses that sex-related differences in mortality and morbidity may be due to differences in the cause of heart failure or in left ventricular ejection fraction (LVEF) by comparing fatal and nonfatal outcomes in women and men with heart failure and a broad spectrum of left ventricular ejection fraction. METHODS AND RESULTS: We compared outcomes in 2400 women and 5199 men randomized in the Candesartan in Heart failure: Assessment of Reduction in Mortality and morbidity (CHARM) program using multivariable regression analyses. A total of 1188 women (50%) had a low LVEF (< or = 0.40), and 1212 had a preserved LVEF (> 0.40). Among the men, 3388 (65%) had a low LVEF, and 1811 had a preserved LVEF. A total of 1216 women (51%) and 3465 men (67%) had an ischemic cause of their heart failure. All-cause mortality was 21.5% in women and 25.3% in men (adjusted hazard ratio [HR], 0.77; 95% CI, 0.69 to 0.86; P<0.001). Fewer women (30.4%) than men (33.3%) experienced cardiovascular death or heart failure hospitalization (adjusted HR, 0.83; 95% CI, 0.76 to 0.91; P<0.001). The risks of sudden death (HR, 0.70; 95% CI, 0.58 to 0.85) and death due to worsening heart failure (HR, 0.72; 95% CI, 0.58 to 0.89) were reduced to a comparable extent. The adjusted risk of cardiovascular hospitalization was also lower in women (HR, 0.88; 95% CI, 0.82 to 0.95), mainly because of a reduced risk of heart failure hospitalization (HR, 0.87; 95% CI, 0.78 to 0.97). Women had a lower risk of death irrespective of cause of heart failure or LVEF. CONCLUSIONS: Among patients with heart failure, women have lower risks of most fatal and nonfatal outcomes that are not explained, as previously suggested, by LVEF or origin of the heart failure.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".