Clinical prediction models for progression of chronic kidney disease to end-stage kidney failure under pre-dialysis nephrology care: results from the Chronic Kidney Disease Japan Cohort Study

BACKGROUND: Reliable prediction tools are needed to identify patients with chronic kidney disease (CKD) at greater risk of developing end-stage kidney failure (ESKF). We developed and validated clinical prediction models (CPMs) for CKD progression to ESKF under pre-dialysis nephrology care using CKD...

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Detalles Bibliográficos
Autores principales: Hasegawa, Takeshi, Sakamaki, Kentaro, Koiwa, Fumihiko, Akizawa, Tadao, Hishida, Akira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Singapore 2018
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510807/
https://www.ncbi.nlm.nih.gov/pubmed/30069609
http://dx.doi.org/10.1007/s10157-018-1621-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6510807/
https://www.ncbi.nlm.nih.gov/pubmed/30069609
http://dx.doi.org/10.1007/s10157-018-1621-z

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