Efficacy of Dapagliflozin in Black Versus White Patients With Heart Failure and Reduced Ejection Fraction
Bibliographic record
Abstract
OBJECTIVES: This study sought to investigate the efficacy and safety of dapagliflozin in Black and White patients with heart failure (HF) with reduced ejection fraction (HFrEF) enrolled in DAPA-HF (Study to Evaluate the Effect of Dapagliflozin on the Incidence of Worsening Heart Failure or Cardiovascular Death in Patients With Chronic Heart Failure). BACKGROUND: Black patients may respond differently to certain treatments for HFrEF than White patients. METHODS: Patients with New York Heart Association functional class II to IV with an ejection fraction of ≤40% and elevated N-terminal pro-B-type natriuretic peptide were eligible for DAPA-HF. Because >99% of Black patients were randomized in the Americas, this post hoc analysis considered Black and White patients enrolled only in North and South America. The primary outcome was the composite of a worsening HF event (HF hospitalization or urgent HF visit requiring intravenous therapy) or cardiovascular death. RESULTS: Of the 4,744 patients randomized in DAPA-HF, 1,494 (31.5%) were enrolled in the Americas. Of these, 1,181 (79.0%) were White, and 225 (15.1%) were Black. Black patients had a higher rate of worsening HF events, but not mortality, compared with White patients. Compared with placebo, dapagliflozin reduced the risk of the primary endpoint similarly in Black patients (HR: 0.62; 95% CI: 0.37-1.03) and White patients (HR: 0.68; 95% CI: 0.52-0.90; P-interaction = 0.70). Consistent benefits were observed for other prespecified outcomes, including the composite of total (first and repeat) HF hospitalizations and cardiovascular death (P-interaction = 0.43) and Kansas City Cardiomyopathy Questionnaire total symptom score. Study drug discontinuation and serious adverse events were not more frequent in the dapagliflozin group than in the placebo group in either Black or White patients. CONCLUSIONS: Dapagliflozin reduced the risk of worsening HF and cardiovascular death, and it improved symptoms, similarly in Black and White patients without an increase in adverse events. (Study to Evaluate the Effect of Dapagliflozin on the Incidence of Worsening Heart Failure or Cardiovascular Death in Patients With Chronic Heart Failure [DAPA-HF]; NCT03036124).
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".