医学
抗血栓
危险系数
戒烟
血压
内科学
临床试验
物理疗法
置信区间
病理
作者
N E M Jaspers,Michael J. Blaha,Kunihiro Matsushita,Yvonne T. van der Schouw,Nicholas J. Wareham,Kay‐Tee Khaw,Marie Henrike Geisel,Nils Lehmann,Raimund Erbel,Karl‐Heinz Jöckel,Yolanda van der Graaf,W. M. Monique Verschuren,Jolanda M.A. Boer,Vijay Nambi,Frank L.J. Visseren,Jannick A N Dorresteijn
标识
DOI:10.1093/eurheartj/ehz239
摘要
Abstract Aims The benefit an individual can expect from preventive therapy varies based on risk-factor burden, competing risks, and treatment duration. We developed and validated the LIFEtime-perspective CardioVascular Disease (LIFE-CVD) model for the estimation of individual-level 10 years and lifetime treatment-effects of cholesterol lowering, blood pressure lowering, antithrombotic therapy, and smoking cessation in apparently healthy people. Methods and results Model development was conducted in the Multi-Ethnic Study of Atherosclerosis (n = 6715) using clinical predictors. The model consists of two complementary Fine and Gray competing-risk adjusted left-truncated subdistribution hazard functions: one for hard cardiovascular disease (CVD)-events, and one for non-CVD mortality. Therapy-effects were estimated by combining the functions with hazard ratios from preventive therapy trials. External validation was performed in the Atherosclerosis Risk in Communities (n = 9250), Heinz Nixdorf Recall (n = 4177), and the European Prospective Investigation into Cancer and Nutrition-Netherlands (n = 25 833), and Norfolk (n = 23 548) studies. Calibration of the LIFE-CVD model was good and c-statistics were 0.67–0.76. The output enables the comparison of short-term vs. long-term therapy-benefit. In two people aged 45 and 70 with otherwise identical risk-factors, the older patient has a greater 10-year absolute risk reduction (11.3% vs. 1.0%) but a smaller gain in life-years free of CVD (3.4 vs. 4.5 years) from the same therapy. The model was developed into an interactive online calculator available via www.U-Prevent.com. Conclusion The model can accurately estimate individual-level prognosis and treatment-effects in terms of improved 10-year risk, lifetime risk, and life-expectancy free of CVD. The model is easily accessible and can be used to facilitate personalized-medicine and doctor–patient communication.
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