A prediction model with lifestyle factors improves the predictive ability for renal replacement therapy: a cohort of 442 714 Asian adults
Journal
Clinical Kidney Journal
Journal Volume
15
Journal Issue
10
Pages
1896
Date Issued
2022-10
Author(s)
Abstract
There 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.
Subjects
cohort; end-stage renal disease; lifestyle risk factors; prediction model; renal replacement therapy
Publisher
OXFORD UNIV PRESS
Type
journal article