Scholay

学术搜索 · AI 审稿 · LaTeX 协作

Sacubitril-Valsartan Compared With Enalapril for the Treatment of Heart Failure: A Decision-Analytic Markov Model Simulation in China

作者:Yue Wu, Shuo Tian, Peipei Rong, Fan Zhang, Ying Chen, Xianxi Guo, Benhong Zhou · 发表于:Frontiers in Pharmacology · 年份:2020 · DOI:10.3389/fphar.2020.01101 · 被引用次数:16 · 研究领域:Heart Failure Treatment and Management、Cardiovascular Function and Risk Factors、Health Systems, Economic Evaluations, Quality of Life

OBJECTIVES: Heart failure with reduced ejection fraction (HFrEF) is a major health concern globally due to high mortality rates, frequent hospitalization and considerable medical expenditure. The prevalence of HFrEF is steadily rising in Asian countries, and populous, developing countries like China are facing a significant socio-economic burden as a result. Sacubitril-valsartan (Sac-Val) is currently a class I recommendation for treating HFrEF in major guidelines, although it has not been pharmaco-economically evaluated in China. To this end, we compared the cost-effectiveness of Sac-Val and enalapril based on the negotiated prices in order to fully assess the expected costs and benefits of the clinical use of Sac-Val in China. METHOD: A Markov model was constructed to estimate long-term clinical and economic outcomes of Sac-Val versus enalapril for HFrEF patients in China over a 10-year horizon. Primary model outcomes were total costs and quality-adjusted life years (QALYs), and the incremental cost-effectiveness ratio (ICER). RESULTS: Treatment with Sac-Val resulted in 4.67 QALYs at the cost of $4,684.25, while enalapril yielded 4.40 QALYs at the cost of $4,014.47. Compared to enalapril, Sac-Val was associated with a gain of 0.27 QALYs, resulting in an ICER of $ 2,480.67 per QALY. Deterministic sensitivity analysis showed robust results. Probabilistic sensitivity analysis suggested that Sac-Val has a 99.99% probability of being cost-effective at the willingness-to-pay thre...