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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
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 |
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