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Poor adherence to beta-blockers is associated with increased long-term mortality even beyond the first year after an acute coronary syndrome event.

ABSTRACT: Background: Acute coronary syndrome (ACS) patients are widely treated with long-term beta-blocker therapy after cardiac event. Especially for low-risk patients, the benefits of beta-blockers on survival and the optimal therapy duration remain unclear. We investigated the effect of adherence to beta-blockers on long-term survival of ACS patients.Methods and results: A total of 1855 consecutive ACS patients who underwent angiography and survived 30 days after were followed for a median of 8.6 years. During follow-up, 30.1% (n = 558) of patients died. Adherence was assessed as yearly periods covered by medication purchases and investigated as a dynamic time-dependent variable in Cox proportional hazards models. In a univariable model, non-adherence to beta-blockers was associated with higher all-cause mortality (Hazard ratio [HR] 2.99, 95% confidence interval [CI] 2.50-3.57; p < .001). Results were similar in multivariable models on both overall survival (HR 1.84, 95% CI 1.51-2.24; p < .001) and on 1-year landmark survival (HR 1.74, 95% CI 1.41-2.14; p < .001). In subgroup analyses, the increase in all-cause mortality was consistent among low-risk patients (HR 1.60, 95% CI 1.16-2.21; p = .004).Conclusion: Poor adherence to beta-blockers is associated with increased long-term mortality among ACS patients. Even low-risk patients seem to benefit from long-term beta-blocker therapy.Key messagesAdherence to secondary prevention medications diminishes drastically over the years after an ACS event.Non-adherence to β-blockers is associated with increased long-term mortality of ACS patients, and the effect on survival extends beyond the first year after an ACS event.Our follow-up was exceptionally lengthy with median follow-up period of 8.6 years.

SUBMITTER: Allonen J

PROVIDER: S-EPMC7877966 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BACKGROUND:Adherence to antihypertensives is suboptimal, but previous methods of quantifying adherence fail to account for varying patterns of use over time. We sought to improve classification of antihypertensive adherence using group-based trajectory models, and to determine whether individual factors predict adherence trajectories. METHODS:We identified older adults initiating antihypertensive therapy during 2008-2011 using a 20% sample of Medicare (federal health insurance available to US residents over the age of 65) beneficiaries enrolled in parts A (inpatient services), B (outpatient services), and D (prescription medication). We developed monthly adherence indicators using prescription fill dates and days supply data in the 12 months following initiation. Adherence was defined as having at least 80% of days covered. Logistic models were used to identify trajectory groups. Bayesian information criterion and trajectory group size were used to select the optimal trajectory model. We compared the distribution of covariates across trajectory groups using multivariable logistic regression. RESULTS:During 2008-2011, 282,520 Medicare beneficiaries initiated antihypertensive therapy (mean age 75 years, 60% women, 84% White). Six trajectories were identified ranging from perfect adherence (12-month adherence of 0.97, 40% of beneficiaries) to immediate stopping (12-month adherence of 0.10, 18% of beneficiaries). The strongest predictors of nonadherence were initiation with a single antihypertensive class (adjusted odds ratio = 2.08 (95% confidence interval: 2.00-2.13)), Hispanic (2.93 (2.75-3.11)) or Black race/ethnicity (2.04 (1.95-2.13)), and no prior history of hypertension (2.04 (2.00-2.08)) (Area under the receiving operating characteristic curve: 0.53). CONCLUSIONS:There is substantial variation in antihypertensive adherence among older adults. Certain patient characteristics are likely determinants of antihypertensive adherence trajectories.

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Poor adherence to beta-blockers is associated with increased long-term mortality even beyond the first year after an acute coronary syndrome event.

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