Association of Hyper-Polypharmacy With Clinical Outcomes in Heart Failure With Preserved Ejection Fraction
Bibliographic record
Abstract
Background: Polypharmacy is associated with a poor prognosis in the elderly, however, information on the association of polypharmacy with cardiovascular outcomes in heart failure with preserved ejection fraction is sparse. This study sought to investigate the relationship between polypharmacy and adverse cardiovascular events in patients with heart failure with preserved ejection fraction. Methods: Baseline total number of medications was determined in 1758 patients with heart failure with preserved ejection fraction enrolled in the Americas regions of the TOPCAT trial (Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist), by 3 categories: nonpolypharmacy (<5 medications), polypharmacy (5–9), and hyper-polypharmacy (≥10). We examined the relationship of polypharmacy status with the primary outcome (cardiovascular death, HF hospitalization, or aborted cardiac arrest), hospitalizations for any reason, and serious adverse events. Results: The proportion of patients taking 5 or more medications was 92.5% (inclusive of polypharmacy [38.7%] and hyper-polypharmacy [53.8%]). Over a 2.9-year median follow-up, compared with patients with polypharmacy, hyper-polypharmacy was associated with an increased risk for the primary outcome, hospitalization for any reason and any serious adverse events in the univariable analysis, but not significantly associated with mortality. After multivariable adjustment for demographic and comorbidities, hyper-polypharmacy remained significantly associated with an increased risk for hospitalization for any reason (hazard ratio, 1.22 [95% CI, 1.05–1.41]; P =0.009) and any serious adverse events (hazard ratio, 1.23 [95% CI, 1.07–1.42]; P =0.005), whereas the primary outcome was no longer statistically significant. Conclusions: Hyper-polypharmacy was common and associated with an elevated risk of hospitalization for any reason and any serious adverse events in patients with heart failure with preserved ejection fraction. There were no significant associations between polypharmacy status and mortality.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".