Adding biomarker change information to the kidney failure risk equation improves predictive ability for dialysis dependency in eGFR <30 ml/min/1.73 m 2

Although the kidney failure risk equation (KFRE), a well-known predictive model for predicting dialysis dependency, is useful, it remains unclear whether the addition of biomarker changes to the KFRE model in patients with an estimated glomerular filtration rate (eGFR)

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Bibliographic Details
Published in:Clinical kidney journal 2024-11, Vol.17 (11), p.sfae321
Main Authors: Okada, Akira, Aso, Shotaro, Kurakawa, Kayo Ikeda, Inoue, Reiko, Watanabe, Hideaki, Sasabuchi, Yusuke, Yamauchi, Toshimasa, Yasunaga, Hideo, Kadowaki, Takashi, Yamaguchi, Satoko, Nangaku, Masaomi
Format: Article
Language:English
Online Access:Get full text
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Summary:Although the kidney failure risk equation (KFRE), a well-known predictive model for predicting dialysis dependency, is useful, it remains unclear whether the addition of biomarker changes to the KFRE model in patients with an estimated glomerular filtration rate (eGFR)
ISSN:2048-8505