Relationship Between Heart Rate and Outcomes in Patients in Sinus Rhythm or Atrial Fibrillation with Heart Failure and Reduced Ejection Fraction
Bibliographic record
Abstract
AIMS: To investigate the relationship between heart rate and outcomes in heart failure and reduced ejection fraction (HFrEF) patients in sinus rhythm (SR) and atrial fibrillation (AF) adjusting for natriuretic peptide concentration, a powerful prognosticator. METHODS AND RESULTS: Of 13 562 patients from two large HFrEF trials, 10 113 (74.6%) were in SR and 3449 (25.4%) in AF. The primary endpoint was the composite of cardiovascular death or heart failure hospitalization. Heart rate was analysed as a categorical (tertiles, T1-3) and continuous variable (per 10 bpm), separately in patients in SR and AF. Outcomes were adjusted for prognostic variables, including N-terminal prohormone of B-type natriuretic peptide (NT-proBNP), and also examined using change from baseline heart rate to 1 year (≤ -10 bpm, ≥ +10 bpm, < ±10 bpm). SR patients with a higher heart rate had worse symptoms and quality of life, more often had diabetes and higher NT-proBNP concentrations. They had higher risk of the primary endpoint [T3 vs. T1 adjusted hazard ratio (HR) 1.50, 95% confidence interval (CI) 1.35-1.66; P < 0.001; per 10 bpm: 1.12, 95% CI 1.09-1.16; P < 0.001]. In SR, heart rate was associated with a relatively higher risk of pump failure than sudden death (adjusted HR per 10 bpm 1.17, 95% CI 1.09-1.26; P < 0.001 vs. 1.07, 95% CI 1.02-1.13; P = 0.011). Heart rate was not predictive of any outcome in AF. CONCLUSIONS: In HFrEF, an elevated heart rate was an independent predictor of adverse cardiovascular outcomes in patients in SR, even after adjustment for NT-proBNP. There was no relationship between heart rate and outcomes in AF. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov Identifiers NCT01035255 and NCT00853658.
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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) | 0.001 | 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".