Identification of individuals who benefit from omega-3 fatty acid supplementation to prevent coronary heart disease: a machine-learning analysis of the VITAL.
IF 5.9 1区 医学Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Rikuta Hamaya,Nancy R Cook,Howard D Sesso,Samia Mora,Julie E Buring,JoAnn E Manson
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引用次数: 0
Abstract
Randomized controlled trials (RCTs) have demonstrated benefits of marine omega-3 polyunsaturated fatty acids (omega-3 FA) supplementation for the prevention of coronary heart disease (CHD). However, it has not been clear which individuals benefit the most from supplementation. We sought to develop an omega-3 effect score to stratify individuals according to their expected benefit from supplementation. Among the 25,871 randomized participants without a history of cardiovascular disease in the VITamin D and OmegA-3 TriaL (VITAL), we applied machine-learning (ML) approaches to predict individual treatment effect of omega-3 FA supplementation on 5-year CHD risk using 11 covariates pre-specified in the VITAL protocol. An omega-3 effect score was developed such that each covariate contributed linearly. ML algorithms effectively stratified participants by their expected benefit according to individual factors; for example, there was 1.21% absolute CHD risk reduction in the top tertile of the expected benefit, compared with the average effect of 0.47% risk reduction. Baseline diabetes, race, hypertension, sex, and fish intake contributed the most to the omega-3 effect score. Five-year CHD risk was 2.5% among those in the omega-3 arm and 3.2% among those in the placebo arm with omega-3 effect score ≥ 4 (upper 70th percentile), and 1.4% among the omega-3 arm and 1.3% among the placebo arm in those with the score < 4, respectively. The transportability of the score to the National Health and Nutrition Examination Survey (NHANES) data was confirmed. Although testing of the score in a new RCT is warranted, the proposed omega-3 effect score holds promise for guiding decision making for omega-3 FA supplementation in the US primary prevention population.
期刊介绍:
The European Journal of Epidemiology, established in 1985, is a peer-reviewed publication that provides a platform for discussions on epidemiology in its broadest sense. It covers various aspects of epidemiologic research and statistical methods. The journal facilitates communication between researchers, educators, and practitioners in epidemiology, including those in clinical and community medicine. Contributions from diverse fields such as public health, preventive medicine, clinical medicine, health economics, and computational biology and data science, in relation to health and disease, are encouraged. While accepting submissions from all over the world, the journal particularly emphasizes European topics relevant to epidemiology. The published articles consist of empirical research findings, developments in methodology, and opinion pieces.