Prevention of Heart Failure in Patients in the Heart Outcomes Prevention Evaluation (HOPE) Study
Bibliographic record
Abstract
BACKGROUND: Previous trials in the prevention of heart failure have been restricted to patients with low ejection fraction or hypertension. We assessed an angiotensin-converting enzyme (ACE) inhibitor, ramipril, to prevent the development of heart failure in high-risk patients without known low ejection fraction or heart failure. METHODS AND RESULTS: We randomly assigned 9297 patients to receive double-blind ramipril (10 mg daily) or matching placebo for 4.5 years. Death attributable to heart failure, hospitalization for heart failure, initiation of open-label ACE inhibitor for heart failure, or development of typical signs or symptoms of heart failure developed in 951 patients and was associated with a 4.01-fold increase in the risk of death (P<0.0001). The rate of developing heart failure was significantly increased with coronary disease (risk ratio, 2.17), microalbuminuria (1.82), left ventricular hypertrophy (1.47), increasing age (by decade, 1.37), and diabetes (1.36). Ramipril reduced new-onset heart failure rate from 11.5% to 9.0% (relative risk, 0.77; 95% CI, 0.68 to 0.87; P<0.0001). Ramipril consistently reduced heart failure rate both in those with (relative risk, 0.87) and those without an interim myocardial infarction (relative risk, 0.78). Ramipril also reduced the heart failure rate more in patients with baseline systolic pressure above the median (139 mm Hg) (relative risk, 0.67) compared with those below the median (relative risk, 0.91; P=0.024 for interaction of group by treatment). CONCLUSION: Ramipril significantly reduces the rate of development of heart failure in patients at high risk of cardiovascular events.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".