Time to Clinical Benefit of Dapagliflozin and Significance of Prior Heart Failure Hospitalization in Patients With Heart Failure With Reduced Ejection Fraction
Bibliographic record
Abstract
Importance: Dapagliflozin has been shown to reduce the risk of cardiovascular death or worsening heart failure (HF) in patients with chronic HF and reduced ejection fraction (HFrEF). However, clinical inertia often underlies deferred initiation of effective therapies. Objective: To examine timing of onset of clinical benefit with dapagliflozin and magnitude as a function of proximity to prior HF hospitalization. Design, Setting, and Participants: This is a secondary analysis of a completed multinational trial. The Dapagliflozin and Prevention of Adverse-Outcomes in Heart Failure trial was a double-blind, placebo-controlled randomized clinical trial of dapagliflozin in patients with chronic HFrEF (n = 4744). From February 2017 to August 2018, the study enrolled patients in New York Heart Association classes II through IV and with left ventricular ejection fraction of 40% or less; the median (range) follow-up time was 18.2 (0-27.8) months. Hazard ratios (HRs) were calculated for the primary efficacy outcome with dapagliflozin vs placebo by time following randomization. Efficacy and safety of dapagliflozin were assessed according to the timing of the most recent HF hospitalization prior to trial enrollment. Exposures: None. Main Outcomes and Measures: Composite of cardiovascular death or worsening HF. Results: A total of 4744 patients were included (1109 women [23.4%]; mean [SD] age, 66.3 [10.9] years). The reduction in the primary outcome with dapagliflozin was rapidly apparent, with a sustained statistically significant benefit by 28 days after randomization (HR at 28 days, 0.51 [95% CI, 0.28-0.94]; P = .03). A total of 2251 patients (47.4%) had been previously hospitalized for HF, and 1301 (27.4%) had been hospitalized within 12 months prior to enrollment. Among patients treated with placebo, there was a stepwise gradient of risk for the primary outcome according to timing of most recent HF hospitalization, with 2-year Kaplan-Meier rates of 21.1%, 25.3%, and 33.8% (adjusted P = .003) for patients with a prior HF hospitalization never, more than 12 months ago, and 12 or fewer months ago, respectively. Across these subgroups, dapagliflozin reduced the relative risk of the primary outcome by 16% (HR, 0.84 [95% CI, 0.69-1.01]), 27% (HR, 0.73 [95% CI, 0.54-0.99]), and 36% (HR, 0.64 [95% CI, 0.51-0.80]), respectively (P = .07 for trend). Accordingly, patients with a more recent HF hospitalization tended to experience greater absolute risk reductions with dapagliflozin at 2 years: 2.1% (95% CI, -1.9% to 6.1%), 4.1% (95% CI, -3.6% to 11.7%), and 9.9% (95% CI, 3.3%-16.5%), respectively (P = .05 for trend). Conclusions and Relevance: In this study, treatment with dapagliflozin was associated with rapid reduction in the risk of cardiovascular death or worsening HF, with a sustained statistically significant benefit emerging very early after randomization. Patients with a more recent HF hospitalization were at particularly high risk and experienced greater relative and absolute risk reductions with dapagliflozin. Trial Registration: ClinicalTrials.gov Identifier 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 | 0.002 | 0.005 |
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".