Abstract 11453: Age, Sex, and Outcomes in Heart Failure With Reduced Ejection Fraction: Insights From the VICTORIA Trial
Bibliographic record
Abstract
Background: Both patient age and sex influence heart failure (HF) treatment and outcomes. Given women are generally older in HF trials, we examined the associations of age and sex with clinical characteristics, background HF therapy, and response to vericiguat in VICTORIA. VICTORIA enrolled 5050 patients with HF with reduced ejection fraction (HFrEF) and recent worsening HF, was broadly inclusive without an upper age limit, and included 28% women (n=1208), and 31% (1568 ) were ≥75 years old with event rates exceeding most HF trials. Methods: Clinical characteristics were compared across age groups (<65, 65 to <75, ≥75 and <75, ≥75 years) and sex ( Table ). Results: More women (37%) than men (29%) were age ≥75 years. Compared with younger patients, those ≥75 had higher EF and class III/IV symptoms, more comorbidities, higher NT-proBNP and lower eGFR, indicative of more advanced disease; however, this age group had the lowest use of triple therapy. Within each age group, women had higher EF and lower burden of some comorbidities (atrial fibrillation, hyperlipidemia, coronary artery disease) compared with men, but similar functional status and NT-proBNP. There were no sex differences in the use of triple therapy by age group; however, women ≥75 years less often achieved target doses of triple therapy than men of similar age. Women were also less likely to receive HF devices across all ages. The incidence of the primary composite endpoint (cardiovascular death or HF hospitalization) increased across age groups and was higher in men than women. Compared with the pre-specified age subgroup analysis (i.e., <75, ≥75 years), the beneficial effect of vericiguat on the primary endpoint was not modified by age (continuous) and sex (3-way interaction; p=0.847). Conclusions: Women in VICTORIA were older than men, and while elderly women received less intense background HF therapy, their prognosis was nominally better than elderly men. Vericiguat’s benefit was independent of age and sex.
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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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".