Prediction of estimated glomerular filtration rate slope and kidney prognosis of patients with chronic kidney disease

Abstract Chronic kidney disease (CKD) is a significant global health challenge, yet the application of eGFR slope as a metric for CKD progression remains underdeveloped in primary care settings. Using data from J-CKD-DB-Ex, Japan’s largest CKD database, we developed and validated a machine learning-...

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Bibliografische Detailangaben

Hauptverfasser:	Hajime Nagasu, Takaya Nakashima, Katsuhito Ihara, Ryo Fujimori, Tadahiro Goto, Daisuke Nitta, Seiji Kishi, Tamaki Sasaki, Naoki Kashihara
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2026-02-01
Schriftenreihe:	Scientific Reports
Online-Zugang:	https://doi.org/10.1038/s41598-026-38246-8
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