Abstract 4136009: Adherence and Persistence to Guideline-Directed Medical Therapy in Patients with Heart Failure: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
Introduction: Since individual adherence/persistence studies for heart failure (HF) guideline-directed medical therapy (GDMT) have mainly focused on single classes or had limited sample sizes, providing inconclusive estimates, a comprehensive analysis is needed to understand the magnitude of the problem. Hypothesis: Adherence and persistence to HF GDMT are suboptimal and are associated with increased risks of HF admission and mortality. Aims: To generate estimates of real-world HF medication adherence and persistence and associated clinical outcomes. Methods: We conducted a systematic review and meta-analysis, searching PubMed, EMBASE, and CINAHL for observational studies on adherence and persistence in HF GDMT from inception to 9/25/23. We evaluated bias using the Newcastle-Ottawa Scale. Primary outcomes were adherence and persistence rates using a restricted maximum-likelihood model. Adherence was summarized as the mean proportion of days covered (PDC) and medication possession ratio (MPR), proportion of patients with good adherence (PDC/MPR≥80%), and persistence. Secondary outcomes were all-cause mortality and HF readmission with summary hazard ratios (HRs) and 95% confidence intervals (CI) estimated. Heterogeneity and publication bias were assessed using Cochran’s Q, I squared statistics, funnel plots, and Egger's tests, while subgroup analyses explored variations across studies. Results: The 48 studies included comprised 1,614,985 patients (mean age 71; 57% men). The overall mean PDC/MPR was 76%, with good adherence of 54%, and persistence rates of 60%. Renin-angiotensin-aldosterone system inhibitors had the highest mean PDC/MPR of 78%, good adherence of 56%, and persistence of 64%, while mineralocorticoid receptor antagonists (MRAs) had the lowest at 71%, 47%, and 49% respectively. Nonadherence/nonpersistence to GDMT was associated with a higher rate of mortality (HR 1.27 [95% CI 1.19–1.35]) and HF admission (HR 1.25 [95% CI 1.14-1.37]). Conclusions: Suboptimal adherence/persistence to HF GDMT is common, with only half of patients showing good adherence. Given the association with worse clinical outcomes, clinicians should prioritize identifying barriers to and addressing nonadherence/nonpersistence to HF GDMT, particularly with MRAs.
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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 | 0.018 | 0.044 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.020 | 0.032 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".