Persistence with secondary prevention medications after acute myocardial infarction: Insights from the TRANSLATE-ACS study.
Persistence with secondary prevention medications after acute myocardial infarction: Insights from the TRANSLATE-ACS study.
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DOI:
10.1016/j.ahj.2015.03.019
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发表时间:
2015-07
影响因子:
4.8
通讯作者:
TRANSLATE-ACS Study Investigators
中科院分区:
文献类型:
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作者:
Mathews R;Wang TY;Honeycutt E;Henry TD;Zettler M;Chang M;Fonarow GC;Peterson ED;TRANSLATE-ACS Study Investigators
Persistent use of secondary prevention therapies after acute myocardial infarction (MI) is critical to optimizing long-term outcomes. Medication persistence was assessed among 7,955 MI patients in 216 hospitals participating in the TRANSLATE-ACS study from 2010 to 2012. Persistence was defined as continuation of aspirin, adenosine diphosphate receptor inhibitors (ADPRi), beta-blockers, angiotensin-converting enzyme inhibitors (ACEIs)/angiotensin receptor blockers (ARBs), and statins from discharge to 6 months post-MI. Multivariable logistic regression modeling was used to determine factors associated with non-persistence, defined as <80% persistence with all medication classes. Overall, 31% of MI patients stopped taking a least one medication by 6 months. The most common reasons cited for medications discontinuation were side effects and physician instruction (57%), while financial concerns were cited in 8% overall. After multivariable modeling, black race (odds ratio [OR] 1.36; 95% confidence interval [CI] 1.15–1.62), older age (OR 1.07; 95% CI 1.02–1.12), atrial fibrillation (OR 1.67, 95% CI 1.33–2.09), dialysis (OR 1.79; 95% CI 1.15–2.78), and depression (OR 1.22; 95% CI 1.02–1.45) were associated with lower likelihood of persistence. Private insurance (OR 0.85, 95% 0.76–0.95), prescription cost assistance (OR 0.63; 95% CI 0.54–0.75), and outpatient follow-up arranged prior to discharge (OR 0.89. 95% CI 0.80–0.99) were associated with higher persistence. Nearly one-third of MI patients are no longer persistent with their prescribed medications by 6 months. Patients at high risk of non-persistence may be identified by clinical and sociodemographic features. These observations underscore key opportunities to optimize longitudinal use of secondary prevention therapies.