Atrial Fibrillation Screening in the Elderly: A Cost-Effectiveness Analysis for Public Health Policy

老年人房颤筛查:公共卫生政策的成本效益分析

阅读:2

Abstract

BACKGROUND: Atrial fibrillation (AF) screening identifies undiagnosed patients who can benefit from anticoagulant therapy, thereby reducing the risk of ischemic stroke. However, the long-term outcomes and costs related to population screening for this purpose in the Asian elderly remain unknown. OBJECTIVES: This study aimed to evaluate the cost-effectiveness of population screening for AF in the elderly in Taiwan and explore the optimal screening strategy from the health care sector's perspective. METHODS: Using a Markov decision-analytic model, we simulated lifetime outcomes and costs of AF screening in a cohort of 10,000 individuals aged 75. Comparative analyses with a nonscreening approach assessed prevented ischemic strokes, quality-adjusted life years (QALYs), costs, and incremental cost-effectiveness ratios (ICERs). Sensitivity analyses were conducted to address model uncertainty, while scenario analyses were performed to determine the optimal age and frequency of screening. RESULTS: One-time population screening for AF among 75-year-olds prevented 45 ischemic strokes and gained 47.42 QALYs, with an additional cost of $592,450 (ICER: $12,493 per QALY gained). The cost-effectiveness of screening remained robust in sensitivity analyses, with anticoagulant effectiveness in ischemic stroke prevention being the most influential factor. Similar ICERs were observed for individuals aged 65 to 80 years. Implementing annual screening for individuals aged 65 to 80 years yielded an ICER of approximately $18,000 per QALY gained. CONCLUSIONS: Both one-time and annual population screening for AF in individuals aged 65 to 80 years appear to be cost-effective. Further research is needed to assess budgetary and feasibility aspects to establish an optimal screening program.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。