Efficacy and safety of dapagliflozin according to aetiology in heart failure with reduced ejection fraction: insights from the <scp>DAPA‐HF</scp> trial
Bibliographic record
Abstract
AIMS: We examined the efficacy and safety of dapagliflozin, compared with placebo, according to aetiology in patients with heart failure (HF) with reduced ejection fraction (HFrEF) enrolled in the Dapagliflozin And Prevention of Adverse-outcomes in Heart Failure trial (DAPA-HF). METHODS AND RESULTS: Aetiology was investigator-reported and categorized as ischaemic or non-ischaemic. The primary outcome was the composite of an episode of worsening HF or cardiovascular death. A total of 4744 patients were randomized in DAPA-HF, of whom 2674 (56.4%) patients had an ischaemic aetiology. Participants with an ischaemic aetiology had a higher risk of cardiovascular mortality [hazard ratio (HR) 1.35, 95% confidence interval (CI) 1.13-1.63], but lower risk of HF hospitalization (HR 0.83, 95% CI 0.70-0.98) than non-ischaemic patients. Compared with placebo, dapagliflozin reduced the risk of worsening HF or cardiovascular death to a similar extent in both patients with ischaemic and non-ischaemic aetiology (HR 0.77, 95% CI 0.65-0.92, and HR 0.71, 95% CI 0.58-0.87, respectively; P for interaction = 0.55). Consistent benefits were observed for the components of the primary outcome and all-cause mortality. Dapagliflozin, as compared with placebo, increased the proportion of patients with an improvement of Kansas City Cardiomyopathy Questionnaire total symptom score (KCCQ-TSS) of ≥5 points (P for interaction = 0.32) and decreased the proportion with a deterioration in KCCQ-TSS of ≥5 points (P for interaction = 0.76), irrespective of aetiology. Study drug discontinuation and serious adverse events were similar according to treatment groups, irrespective of aetiology. CONCLUSIONS: Dapagliflozin reduced the risk of worsening HF and death, and improved symptoms, similarly in patients with ischaemic and non-ischaemic aetiology. In addition, dapagliflozin was safe and well-tolerated, irrespective of aetiology.
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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) | 0.001 | 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".