A prediction model with lifestyle factors improves the predictive ability for renal replacement therapy: a cohort of 442 714 Asian adults

Tsai, Min-KuangMin-KuangTsaiGao, WayneWayneGaoKUO-LIONG CHIENHsu, Chih-ChengChih-ChengHsuWen, Chi-PangChi-PangWen2023-03-202023-03-202022-102048-8505https://scholars.lib.ntu.edu.tw/handle/123456789/629435There are limited renal replacement therapy (RRT) prediction models with good performance in the general population. We developed a model that includes lifestyle factors to improve predictive ability for RRT in the population at large.encohort; end-stage renal disease; lifestyle risk factors; prediction model; renal replacement therapy[SDGs]SDG3A prediction model with lifestyle factors improves the predictive ability for renal replacement therapy: a cohort of 442 714 Asian adultsjournal article10.1093/ckj/sfac11936158141WOS:000807878700001