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

Min-Kuang TsaiWayne GaoKuo Liong ChienChih-Cheng HsuChi-Pang Wen

Published in: Clinical kidney journal (2022)

Our prediction model including medical history and lifestyle factors improved the predictive ability for end-stage renal disease in the general population in addition to chronic kidney disease population.

Keyphrases

end stage renal disease
chronic kidney disease
peritoneal dialysis
metabolic syndrome
physical activity
cardiovascular disease
weight loss
healthcare
acute kidney injury