Atrial Fibrillation and Dapagliflozin Efficacy in Patients With Preserved or Mildly Reduced Ejection Fraction
Bibliographic record
Abstract
Atrial fibrillation (AF) is common in heart failure (HF), is associated with worse outcomes compared with sinus rhythm, and may modify the effects of therapy. This study examined the effects of dapagliflozin according to the presence or not of AF in the DELIVER (Dapagliflozin Evaluation to Improve the LIVEs of Patients With PReserved Ejection Fraction Heart Failure) trial. A total of 6,263 patients with HF with New York Heart Association functional class II-IV, left ventricular ejection fraction >40%, evidence of structural heart disease, and elevated N-terminal pro–B-type natriuretic peptide levels were randomized to dapagliflozin or placebo. Clinical outcomes and the effect of dapagliflozin, according to AF status, were examined. The primary outcome was a composite of cardiovascular death or worsening HF. Of the 6,261 patients with data on baseline AF, 43.3% had no AF, 18.0% had paroxysmal AF, and 38.7% had persistent/permanent AF. The risk of the primary endpoint was higher in patients with AF, especially paroxysmal AF, driven by a higher rate of HF hospitalization: no AF, HF hospitalization rate per 100 person-years (4.5 [95% CI: 4.0-5.1]), paroxysmal AF (7.5 [95% CI: 6.4-8.7]), and persistent/permanent AF (6.4 [95% CI: 5.7-7.1]) (P < 0.001). The benefit of dapagliflozin on the primary outcome was consistent across AF types: no AF, HR: 0.89 (95% CI: 0.74-1.08); paroxysmal AF, HR: 0.75 (95% CI: 0.58-0.97); persistent/permanent AF, HR: 0.79 (95% CI: 0.66-0.95) (Pinteraction = 0.49). Consistent effects were observed for HF hospitalization, cardiovascular death, all-cause mortality, and improvement in the KCCQ-TSS. In DELIVER, the beneficial effects of dapagliflozin compared with placebo on clinical events and symptoms were consistent, irrespective of type of AF at baseline. (Dapagliflozin Evaluation to Improve the LIVEs of Patients With PReserved Ejection Fraction Heart Failure. [DELIVER]; NCT03619213)
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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 | 0.002 | 0.002 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".