Racial Differences in Characteristics and Outcomes of Patients With Heart Failure and Preserved Ejection Fraction in the Treatment of Preserved Cardiac Function Heart Failure Trial
Bibliographic record
Abstract
Background: Black patients have been shown to have different baseline characteristics and outcomes compared with nonblack patients in cohort studies. However, few studies have focused on heart failure (HF) with preserved ejection fraction (HFpEF) patients. We aimed to determine the difference in cardiovascular outcomes in black and nonblack patients with HFpEF and to determine the relative efficacy and safety of spironolactone in black and nonblack patients. Methods and Results: Patients with HFpEF, randomized to spironolactone versus placebo in the TOPCAT trial (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist) in North and South America, were grouped according to self-described black and nonblack race. Black HFpEF patients (n=302) were younger and were more likely to have diabetes mellitus and hypertension than nonblack patients but had similar HFpEF severity. Black patients had higher risk for the primary outcome (hazard ratio [HR], 1.34; 95% confidence interval, 1.06–1.71; P =0.02) and first HF hospitalization (HR, 1.51; 95% confidence interval, 1.167–1.97; P =0.002)], but no significant difference in cardiovascular mortality risk (HR, 0.78; 95% confidence interval, 0.51–1.20; P =0.326). In black and nonblack patients, randomization to spironolactone conferred similar efficacy in the primary outcome (HR, 0.83 versus 0.79; P for interaction=0.49), HF hospitalization (HR, 0.67 versus 0.82; P for interaction=0.76), and cardiovascular mortality ( P for interaction=0.19). The risk of hyperkalemia and worsening renal function with spironolactone and study drug adherence were also similar. Conclusions: Black patients with HFpEF have a higher HF hospitalization risk than nonblack patients, but spironolactone is similarly effective and safe in both groups. Clinical Trial Registration: URL: https://www.clinicaltrials.gov . Unique identifier: 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 | 0.001 | 0.001 |
| 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) | 0.002 | 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".