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. 2020 Mar 14;41(11):1190-1199.
doi: 10.1093/eurheartj/ehz239.

Prediction of individualized lifetime benefit from cholesterol lowering, blood pressure lowering, antithrombotic therapy, and smoking cessation in apparently healthy people

Affiliations

Prediction of individualized lifetime benefit from cholesterol lowering, blood pressure lowering, antithrombotic therapy, and smoking cessation in apparently healthy people

Nicole E M Jaspers et al. Eur Heart J. .

Erratum in

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.

Keywords: Apparently healthy people; Cardiovascular disease prevention; Lifetime prediction; Therapy-benefit.

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Figures

Figure 1
Figure 1
Internal calibration of predicted vs. observed 10-year risk with 95% confidence intervals in the Multi-Ethnic Study of Atherosclerosis validation cohort for (A) cause-specific cardiovascular disease-event risk, (B) cause-specific non-cardiovascular disease mortality risk, and (C) cardiovascular disease-event and non-cardiovascular disease mortality risk combined (i.e. the LIFE-CVD model).
Figure 2
Figure 2
External calibration of predicted vs. observed 10-year risk of cardiovascular disease-event and non-cardiovascular disease mortality risk combined (i.e. the LIFE-CVD model) with 95% confidence intervals in (A) the Atherosclerosis Risk in Communities Study (ARIC), (B) the Heinz Nixdorf Recall (HNR), (C) the European Prospective Investigation into Cancer-Netherlands (EPIC-NL), and (D) the European Prospective Investigation into Cancer-Norfolk (EPIC-Norfolk).
Figure 3
Figure 3
Therapy-benefit from atorvastatin 40 mg and achieving an systolic blood pressure of 130 mmHg in three non-diabetic, former-smoking, European males with a body mass index of 28 kg/m2.
Figure 4
Figure 4
Distribution of individual (A) 10-year ARR%, (B) lifetime ARR%, and (C) gain in life-expectancy for the 6526 individuals in the Multi-Ethnic Study of Atherosclerosis validation cohort associated with the initiation of atorvastatin 40 mg and achieving a systolic blood pressure of 130 mmHg stratified by baseline 10-year risk and age. Smoking status and aspirin use were not altered.
Take home figure
Take home figure
Development and clinical implementation of a model to estimate lifetime therapy-effects illustrated with two patient examples.
None

Comment in

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