Evidence base for pharmacotherapy effectiveness in patients with acute myocardial infarction: The role of treatment adherence assessment using EMIAS data.

IF 0.8
Sergey B Fitilev, Irina I Shkrebniova, Dmitry A Kliuev, Mikhail I Smirnov
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Abstract

BackgroundIn real-world clinical practice, the effectiveness of medications for secondary prevention of acute myocardial infarction (AMI) is limited by low patient adherence. The lack of systematic adherence analysis inevitably distorts the evidence base for the effectiveness of these medications.ObjectiveTo investigate 1-year adherence to post-AMI therapies (statins, dual antiplatelet therapy (DAPT), and neurohormonal antagonists) using the Proportion of Days Covered (PDC) metric and evaluate its impact on treatment effectiveness through data from the Electronic Medical Information and Analytical System (EMIAS).MethodThe study included 276 patients who had undergone AMI. The follow-up period was 12 months after discharge from the hospital. Adherence was considered acceptable at PDC ≥80%. Efficacy was assessed based on endpoints for DAPT, low-density lipoprotein cholesterol (LDL-C) reduction>50% for statin therapy and left ventricular ejection fraction (LVEF) for heart failure (HF) therapy.ResultsAnnual adherence rates were critically low: 38.8% for DAPT, 37.6% for statin therapy, and 24.2% for neurohormonal therapy of HF. High adherence versus non-adherence was associated with a significant reduction in the risk of composite cardiovascular events for DAPT (p = 0.047); for statins, a reduction in LDL-C ≥50% was achieved significantly more often (31.6% vs 13.2%); and for HF patients, a significantly greater increase in LVEF was observed (55.6% vs 50.12%).ConclusionThe evidence base for the effectiveness of long-term pharmacotherapy in real-world clinical practice should be derived from the analysis of variables of interest exclusively within the treatment-adherent patient cohort.

急性心肌梗死患者药物治疗有效性的证据基础:使用EMIAS数据进行治疗依从性评估的作用。
在现实世界的临床实践中,急性心肌梗死(AMI)二级预防药物的有效性受到患者依从性低的限制。缺乏系统的依从性分析不可避免地扭曲了这些药物有效性的证据基础。目的利用覆盖天数比例(PDC)指标调查ami后治疗(他汀类药物、双重抗血小板治疗(DAPT)和神经激素拮抗剂)1年的依从性,并通过电子医疗信息分析系统(EMIAS)的数据评估其对治疗效果的影响。方法研究对象为276例AMI患者。随访时间为出院后12个月。当PDC≥80%时,依从性被认为是可接受的。根据DAPT的终点、他汀类药物治疗的低密度脂蛋白胆固醇(LDL-C)降低bbb50 %和心力衰竭(HF)治疗的左心室射血分数(LVEF)来评估疗效。结果年依从率极低:DAPT治疗38.8%,他汀类药物治疗37.6%,心衰神经激素治疗24.2%。高依从性与非依从性与DAPT复合心血管事件风险的显著降低相关(p = 0.047);对于他汀类药物,LDL-C降低≥50%的情况更为明显(31.6% vs 13.2%);对于HF患者,LVEF显著增加(55.6% vs 50.12%)。结论在现实世界的临床实践中,长期药物治疗有效性的证据基础应该来自对治疗依从性患者队列中感兴趣的变量的分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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