ArticleJACC. Advances2024
Trajectories of Sacubitril/Valsartan Adherence Among Medicare Beneficiaries With Heart Failure.
Article in JACC. Advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Examining the association between medication adherence trajectories and disease-specific clinical outcomes: An analysis focusing on the drug classes included in Part D quality bonus payments.Journal of managed care & specialty pharmacy · 2025Article
- The application of neighborhood area deprivation index to improve health equity across the spectrum of heart failure: a review.Heart failure reviews · 2025Review
- Investigating the Time-Varying Nature of Medication Adherence Predictors: An Experimental Approach Using Andersen's Behavioral Model of Health Services Use.Pharmacy (Basel, Switzerland) · 2025Article
- Improving Medication Adherence in Heart Failure Through Pharmacist-Led Patient Education: Protocol for a Mechanism-Based Study of Information, Motivation, and Behavioral Skills.Patient preference and adherence · 2025Article
- High-intensity care for GDMT titration.Heart failure reviews · 2024Review
- Health Equity Across the Life Course: A Call to Action for the Cardiovascular Community.JACC. Advances · 2024Article
- Lessons toJACC. Advances · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Sacubitril/valsartan, an angiotensin receptor/neprilysin inhibitor (ARNi), improves heart failure (HF) outcomes, yet real-world adherence patterns are not well understood. Objectives: The purpose of this study was to analyze longitudinal patterns of adherence to ARNis in patients with HF and to identify factors associated with adherence patterns. Methods: Using Medicare beneficiaries from 2015 to 2018, we included patients diagnosed with HF who initiated an ARNi. A group-based trajectory model was constructed to identify adherence patterns during follow-up. We used multivariable logistic regression to investigate factors associated with membership in each adherence trajectory group. Results: Among 9,475 eligible beneficiaries (age 77 ± 7 years, 34% female), we identified 5 distinct ARNi adherence trajectories, characterized as: immediate discontinuers, who discontinued treatment within the first 3 months (12%); early discontinuers, who discontinued treatment in months 4 to 7 (10%); late discontinuers, who discontinued treatment in months 7 to 10 (12%); intermittently adherent patients (12%); and consistently adherent patients (54%). The first 4 groups were collectively categorized as nonconsistent adherents. Living in a socioeconomically disadvantaged area, ie, a county with the top 20% of Area Deprivation Index (adjusted OR [aOR]: 1.12 [95% CI: 1.00-1.24]) and Black race (aOR: 1.36, [95% CI: 1.18-1.56]) were associated with a higher likelihood of being nonconsistently adherent. Receiving prescriptions from a cardiologist (aOR: 0.64 [95% CI: 0.57-0.73]) was associated with a lower likelihood of suboptimal ARNi adherence. Conclusions: Half of ARNi users were not consistently adherent to the drug in the first year after treatment initiation. There exist significant racial and socioeconomic inequities in longitudinal adherence to ARNi.
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