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

BACKGROUND: 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. METHODS: We used data collected between 1996 and 201...

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Detalles Bibliográficos
Autores principales: Tsai, Min-Kuang, Gao, Wayne, Chien, Kuo-Liong, Hsu, Chih-Cheng, Wen, Chi-Pang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9494522/
https://www.ncbi.nlm.nih.gov/pubmed/36158141
http://dx.doi.org/10.1093/ckj/sfac119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9494522/
https://www.ncbi.nlm.nih.gov/pubmed/36158141
http://dx.doi.org/10.1093/ckj/sfac119

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