Beta-blockers in Patients with Heart Failure with Reduced Ejection Fraction and Concomitant Chronic Obstructive Pulmonary Disease: Cardiovascular and Respiratory Outcomes
Bibliographic record
Abstract
AIMS: Patients with heart failure (HF) with reduced ejection fraction (HFrEF) and chronic obstructive pulmonary disease (COPD) are poorly represented in HFrEF trials testing beta-blockers. We assessed cardiovascular effectiveness and respiratory safety of beta-blockers in these patients. METHODS AND RESULTS: Patients with HFrEF and COPD in the Swedish HF Registry (2006-2023) were included. Overlap-weighted models were used to assess associations between beta-blocker use and 5-year risk of outcomes, with cardiovascular death/total hospitalizations for HF (HHF) representing the primary cardiovascular effectiveness outcome, and total severe COPD exacerbations being the primary respiratory safety outcome. Of 5084 patients with HFrEF and COPD, median age was 75 years (interquartile range [IQR] 69-81), 68.3% were male, 36.9% were in GOLD group E, 91.5% used beta-blockers. Over a median follow-up of 2.5 years (IQR 1.0-4.8), beta-blocker users had lower crude risk of cardiovascular death/total HHF (rate ratio [RR] 0.66, 95% confidence interval [CI] 0.56-0.78) and total severe COPD exacerbations (RR 0.75, 95% CI 0.60-0.93). After overlap weighting, beta-blocker use was independently associated with lower risk of cardiovascular death/total HHF (RR 0.74, 95% CI 0.58-0.96) but not total severe COPD exacerbations (RR 0.99, 95% CI 0.73-1.35). These associations were consistent across subgroups (including GOLD groups), except for the greater magnitude of the association with lower risk of cardiovascular death/total HHF in patients with left ventricular ejection fraction <30% (p for interaction = 0.004). Falsification analyses suggested no influence from residual confounding. CONCLUSIONS: In patients with HFrEF and COPD, beta-blocker use was associated with lower risk of cardiovascular death/total HHF, without evidence of safety concerns for COPD exacerbations.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".