Can we predict when to start renal replacement therapy in patients with chronic kidney disease using 6 months of clinical data?

PURPOSE: We aimed to develop a model of chronic kidney disease (CKD) progression for predicting the probability and time to progression from various CKD stages to renal replacement therapy (RRT), using 6 months of clinical data variables routinely measured at healthcare centers. METHODS: Data were d...

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Detalles Bibliográficos
Autores principales: Lee, Min-Jeong, Park, Joo-Han, Moon, Yeo Rae, Jo, Soo-Yeon, Yoon, Dukyong, Park, Rae Woong, Jeong, Jong Cheol, Park, Inwhee, Shin, Gyu-Tae, Kim, Heungsoo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6171856/
https://www.ncbi.nlm.nih.gov/pubmed/30286208
http://dx.doi.org/10.1371/journal.pone.0204586

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6171856/
https://www.ncbi.nlm.nih.gov/pubmed/30286208
http://dx.doi.org/10.1371/journal.pone.0204586

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