Beta-blocker use and outcomes in patients with heart failure and mildly reduced and preserved ejection fraction
Bibliographic record
Abstract
Abstract Background Concerns have been raised about the appropriateness of use and safety of beta-blockers (BBs) in patients with heart failure and mildly reduced (HFmrEF) and preserved ejection fraction (HFpEF). However, randomized trial evidence is still lacking. Purpose To perform an observational analysis of the association between BB use and clinical outcomes in a large dataset of patients with HFmrEF and HFpEF. Methods We pooled individual patient data from four large HFmrEF/HFpEF trials (I-Preserve, TOPCAT, PARAGON-HF, and DELIVER). The associations between baseline BB use and outcomes were analyzed. The primary outcome was the composite of cardiovascular death or HF hospitalization. Results Among the 16,951 patients included, the mean left ventricular ejection fraction (LVEF) was 56.8%, and 13,400 (79.1%) had HFpEF (LVEF ≥50%). Overall, 12,812 patients (75.6%) received a BB. The median bisoprolol-equivalent dose of BB was 5.0 (Q1-Q3: 2.5-5.0) mg with BB continuation rates of 95.1% at 1 year and 93.1% at 2 years (in patients who survived more than 1 and 2 years, respectively). Overall, the hazard ratio (HR) for the primary outcome did not differ between BB users and non-users (HR: 0.98 [95% CI: 0.91-1.05]) but among patients with HFmrEF, BB users had a lower HR (0.84 [95% CI 0.71-0.98]), whereas in HFpEF the HR was similar BB users and non-users (0.99 [95% CI 0.92-1.08]). However, after comprehensive adjustment for known prognostic variables, including NT-proBNP, BB use was associated with a better outcome in the overall cohort (HR 0.81 [0.74-0.88]), and this association was maintained across the range of LVEF (Figure 1). In subgroup analyses, the risk of the primary outcome was similar in BB users and non-users with or without a history of myocardial infarction, with or without a history of hypertension, or with or without a baseline heart rate <70 bpm. By contrast, a better outcome with BB use was seen in patients with atrial fibrillation compared to those without atrial fibrillation (Figure 2). Conclusions Although this is an observational analysis of non-randomized treatment, there was no suggestion that BB use was associated with worse HF outcomes even after extensive adjustment for other prognostic variables. Figure Legends Figure 1. Association between beta-blocker use and outcomes across the range of LVEF. Risk in beta-blocker users versus non-users is shown as an adjusted continuous hazard ratio Figure 2. Association between beta-blocker use and non-use in the overall population and clinically relevant patient subgroups, shown as an adjusted hazard ratio (HR). The outcome analyzed was the composite of CV death or HF hospitalization (primary outcome)Figure 1Figure 2
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".