Relationship between Heart Rate and Mortality and Morbidity in the Irbesartan Patients with Heart Failure and Preserved Systolic Function Trial (I-Preserve)
Bibliographic record
Abstract
BACKGROUND: Higher heart rate is associated with poorer outcomes in patients with heart failure and reduced ejection fraction (HF-REF). Less is known about the association between heart rate and outcomes in patients with heart failure and preserved ejection fraction (HF-PEF). Therefore, we examined the relationship between heart rate and outcomes in the irbesartan in patients with heart failure and preserved systolic function trial (I-Preserve) in patients with an ejection fraction >45% aged >60 years. METHODS AND RESULTS: Heart rate was analysed as both a categorical (tertiles) and continuous variable. Patients in sinus rhythm (n = 3271) and atrial fibrillation (n = 696) were analysed separately. The outcomes examined were the primary endpoint of the trial (all-cause death or cardiovascular hospitalization), the composite of cardiovascular death or heart failure hospitalization (and its components) and all-cause death alone. Higher heart rate was associated with a significantly higher risk of all outcomes studied for patients in sinus rhythm, even after adjustment for other prognostic variables, including N-terminal pro-B-type natriuretic peptide. Each standard deviation (12.4 bpm) increase in heart rate was associated with an increase in risk of 13% for cardiovascular death or heart failure hospitalization (P = 0.002). No relationship between heart rate and outcomes was observed for patients in atrial fibrillation. Beta-blocker treatment did not reduce the heart rate-risk relationship. CONCLUSIONS: In patients with heart failure and preserved ejection fraction, heart rate is in sinus rhythm an independent predictor of adverse clinical outcomes and might be a therapeutic target in this syndrome. Clinical Trial Registration - URL http://www.clinicaltrials.gov. Unique identifier: NCT 0095238.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".