Baseline Characteristics of Contemporary Trial Participants with Heart Failure and Reduced Ejection Fraction: The VICTOR Trial
Bibliographic record
Abstract
Abstract Aims To describe the baseline characteristics of the participants in the VICTOR (Vericiguat Global Study in Patients with Chronic Heart Failure; NCT05093933) trial and compare them to recent trials in patients with heart failure and reduced ejection fraction (HFrEF). Methods and results Baseline characteristics were evaluated in 6105 patients randomized to vericiguat or placebo. The mean age of the participants was 67 ± 11 years, 23.6% were women, 64.4% were White, and 10.7% were self-identified Black. Overall, 29.1% of participants were enrolled in Latin and South America, 27.8% and 18.5% in Eastern and Western Europe, 14.0% in Asia-Pacific and 10.6% in North America. The mean left ventricular ejection fraction was 30 ± 7% and 79% had New York Heart Association class II symptoms. Mean estimated glomerular filtration rate was 70.9 ± 24.0 ml/min/1.73 m2. Median N-terminal pro-B-type natriuretic peptide level was 1476 (970–2495) pg/ml and 47.5% of participants had no prior hospitalization for heart failure. Baseline therapy included 94.4% beta-blockers, 94.3% renin–angiotensin system modulation (including 56.0% on an angiotensin receptor–neprilysin inhibitor), 77.7% mineralocorticoid receptor antagonists, 59.1% sodium–glucose cotransporter 2 inhibitors, and 32.9% implantable cardioverter-defibrillators. Overall characteristics were relatively similar to other recent HFrEF trials but the VICTOR trial enrolled a higher proportion of participants receiving contemporary drug and device therapy. Conclusion The VICTOR trial enrolled the most optimally treated population in a phase III heart failure trial. These features will facilitate assessment of the benefit of vericiguat and elucidate the outcomes of patients on up-to-date medical therapy.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".