Khanh-Van Tran MD PhD , Cassie R. Shao BA , Katherine A. Tak BA , Elisa M. Taylor-Yeremeeva BA , Carrie R. Shao BA , Nouran Y. Nagy MS , Asem Ali MD
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引用次数: 0
Abstract
Therapeutic Area
CVD Prevention – Primary and Secondary
Background
Statin therapy is a cornerstone of secondary prevention in patients with acute coronary syndrome (ACS). While initiation during hospitalization is high, long-term adherence remains suboptimal. Real-world data on post-discharge statin adherence in community-based populations are limited. We aimed to characterize statin use trends and identify predictors of adherence at 6 and 12 months in a prospective cohort from Central Massachusetts.
Methods
We analyzed 217 patients enrolled in the Transitions, Risks, and Actions in Coronary Events – Center for Outcomes Research and Education (TRACE-CORE) prospective registry. Statin use was assessed during hospitalization and at 6- and 12-months post-discharge. Logistic regression was used to evaluate whether demographic and clinical factors (age, sex, race/ethnicity, BMI) were associated with continued statin use.
Results
The mean age was 63.2 ± 11.8 years, and 61% of participants were male. Statins were initiated during hospitalization in 96.6% of patients. Adherence declined to 87.1% at 6 months and 81.1% at 12 months. Logistic regression models revealed no significant associations between statin adherence and age, sex, race/ethnicity, or BMI at either time point (all p > 0.05). The 6-month model had a Nagelkerke R² of 0.039 (p = 0.338), and the 12-month model had a Nagelkerke R² of 0.030 (p = 0.402), indicating limited explanatory power.
Conclusions
Despite high inpatient initiation, nearly one in five ACS patients discontinued statin therapy by 12 months. Traditional demographic and clinical characteristics did not explain adherence patterns. These findings, derived from a prospective, community-based registry, underscore the limitations of relying solely on demographic or clinical predictors and highlight the need for real-world behavioral and system-level interventions.