Influence of ejection fraction on outcomes and efficacy of spironolactone in patients with heart failure with preserved ejection fraction
Bibliographic record
Abstract
AIMS: While mineralocorticoid receptor antagonists (MRAs) have been shown to benefit patients with reduced left ventricular ejection fraction (LVEF), spironolactone did not reduce the primary endpoint of cardiovascular death, heart failure hospitalization, or aborted cardiac arrest in patients with heart failure with preserved ejection fraction (HFpEF) in the TOPCAT trial, which enrolled patients with LVEF of 45% or greater. We utilized data from TOPCAT to assess the relationship between LVEF as well as outcomes and efficacy of spironolactone. METHODS AND RESULTS: We assessed differences in baseline characteristics and outcomes across LVEF categories in 3444 patients with HFpEF, and determined whether LVEF modified the treatment effect of spironolactone. Ejection fraction ranged from 44 to 85%. Patients with higher ejection fraction were older, more likely to be female, less likely to have a history of myocardial infarction, and more likely to have a history of hypertension and diabetes. The incidence of the primary endpoint and cardiovascular death was highest in patients at the lower end of the ejection fraction spectrum. Ejection fraction modified the spironolactone treatment effect, particularly in the patients enrolled in the Americas, for the primary outcome (P = 0.046) and for heart failure hospitalization (P = 0.039), with stronger estimated benefits of spironolactone at the lower end of the ejection fraction spectrum with respect to the primary endpoint (LVEF <50%: HR 0.72, 95% CI 0.50, 1.05; LVEF ≥60%: HR 0.97, 95% CI 0.76, 1.23) and heart failure hospitalization (LVEF <50%: HR 0.76, 95% CI 0.46, 1.27; LVEF ≥60%: HR 0.98, 95% CI 0.74, 1.30). CONCLUSION: In patients with HFpEF enrolled in TOPCAT, patient characteristics and outcomes varied substantially by LVEF. The potential efficacy of spironolactone was greatest at the lower end of the LVEF spectrum. CLINICALTRIALSGOV NUMBER: NCT00094302.
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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 | 0.004 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".