Evolution of NT-proBNP During Prerandomization Screening in VICTORIA: Implications for Clinical Outcomes and Efficacy of Vericiguat
Bibliographic record
Abstract
BACKGROUND: Selecting high-risk patients with heart failure with potentially modifiable cardiovascular events is a priority. Our objective was to evaluate NT-proBNP (N-terminal pro-B-type natriuretic peptide) changes during a 30-day screening to establish (1) the frequency and direction of changes; (2) whether a relationship exists between changes in NT-proBNP and the primary composite outcome of cardiovascular death and heart failure hospitalization; and (3) whether changes in NT-proBNP relate to vericiguat's clinical benefit. METHODS: VICTORIA (A Study of Vericiguat in Participants With Heart Failure With Reduced Ejection Fraction) randomized 5050 patients with heart failure with reduced ejection fraction and a recent worsening heart failure event. We studied 3821 patients who had NT-proBNP measured during screening and at randomization. RESULTS: Sixteen hundred exhibited a >20% reduction, 1412 had ≤20% change, and 809 showed a >20% rise in NT-proBNP levels. As compared with the primary composite outcome of 28.4/100 patient-years (497 events; 31.1%) in patients with a >20% decline in NT-proBNP, those with >20% during screening had worse outcomes; 48.8/100 patient-years (359 events; 44.4%); adjusted hazard ratio, 1.61 (95% CI, 1.39-1.85). Those patients with a ≤20% change in NT-proBNP had intermediate outcomes; 39.2/100 patient-years (564 events; 39.9%); adjusted hazard ratio, 1.33 (95% CI, 1.17-1.51). No relationship existed between NT-proBNP changes during screening and vericiguat's effect on cardiovascular death and heart failure hospitalization. CONCLUSIONS: Substantial differences occurred in the rates of cardiovascular death and heart failure hospitalization, especially in patients with a >20% change in NT-proBNP levels during screening interval. Sequential NT-proBNP levels add important prognostic information meriting consideration in future heart failure trials. 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 | 0.000 | 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) | 0.000 | 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".