Background Medical Therapy and Clinical Outcomes From the VICTORIA Trial
Bibliographic record
Abstract
BACKGROUND: We examined whether the primary composite outcome (cardiovascular death or heart failure hospitalization) was related to differences in background use and dosing of guideline-directed medical therapy in patients with heart failure with reduced ejection fraction enrolled in VICTORIA (Vericiguat Global Study in Subjects with Heart Failure with Reduced Ejection Fraction), a randomized trial of vericiguat versus placebo. METHODS: We evaluated the adherence to guideline use of angiotensin-converting enzyme inhibitors, angiotensin-receptor blockers, angiotensin receptor-neprilysin inhibitors, beta-blockers, and mineralocorticoid receptor antagonists. We assessed basic adherence; indication-corrected adherence accounting for guideline indications and contraindications; and dose-corrected adherence (indication-corrected adherence+≥50% of drug dose target). Associations between study treatment and the primary composite outcome according to the adherence to guidelines were assessed using multivariable adjustment; adjusted hazard ratios with 95% CIs and P interaction are reported. RESULTS: Of 5050 patients, 5040 (99.8%) had medication data at baseline. For angiotensin-converting enzyme inhibitor, angiotensin-receptor blockers, and angiotensin receptor-neprilysin inhibitors, basic adherence to guidelines was 87.4%, indication-corrected was 95.7%, and dose-corrected was 50.9%. For beta-blockers, basic adherence was 93.1%, indication-corrected was 96.2%, and dose-corrected was 45.4%. For mineralocorticoid receptor antagonists, basic adherence was 70.3%, indication-corrected was 87.1%, and dose-corrected was 82.2%. For triple therapy (angiotensin-converting enzyme inhibitors, angiotensin-receptor blockers, or angiotensin receptor-neprilysin inhibitors+beta-blocker+mineralocorticoid receptor antagonist), basic adherence was 59.7%, indication-corrected was 83.3%, and dose-corrected was 25.5%. Using basic or dose-corrected adherence, the treatment effect of vericiguat was consistent across adherence to guidelines groups, with or without multivariable adjustment with no treatment heterogeneity. CONCLUSIONS: Patients in VICTORIA were well treated with heart failure with reduced ejection fraction medications. The efficacy of vericiguat was consistent across background therapy with very high adherence to guidelines accounting for patient-level indications, contraindications, and tolerance. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT02861534.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".