Calcium Channel Blocker Use and Outcomes in Patients with Heart Failure and Mildly Reduced and Preserved Ejection Fraction
Bibliographic record
Abstract
AIMS: Patients with heart failure (HF) and mildly reduced ejection fraction (HFmrEF) and preserved ejection fraction (HFpEF) are often treated with calcium channel blockers (CCBs), although the safety of CCBs in these patients is uncertain. We aimed to investigate the association between CCB use and clinical outcomes in patients with HFmrEF/HFpEF; CCBs were examined overall, as well as by subtype (dihydropyridine and non-dihydropyridine). METHODS AND RESULTS: We pooled individual patient data from four large HFpEF/HFmrEF trials. The association between CCB use and outcomes was assessed. Among the 16 954 patients included, the mean left ventricular ejection fraction (LVEF) was 56.8%, and 13 402 (79.0%) had HFpEF (LVEF ≥50%). Altogether, 5874 patients (34.6%) received a CCB (87.6% dihydropyridines). Overall, the risks of death and HF hospitalization were not higher in patients treated with a CCB, particularly dihydropyridines. The risk of pump failure death was significantly lower (hazard ratio [HR] 0.76, 95% confidence interval [CI] 0.60-0.96), while the risk of stroke was higher (HR 1.26, 95% CI 1.06-1.50) in patients treated with a CCB compared to those not. These risks remained different in patients treated and not treated with a CCB after adjustment for other prognostic variables. Although the majority of patients were treated with dihydropyridine CCBs, the pattern of outcomes was broadly similar for both dihydropyridine and non-dihydropyridine CCBs. CONCLUSION: Although this is an observational analysis of non-randomized treatment, there was no suggestion that CCBs were associated with worse HF outcomes. Indeed, CCB use was associated with a lower incidence of pump failure death.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.002 |
| 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".