Development and validation of nomogram and machine learning models to predict sarcopenia in patients with chronic kidney disease

Abstract Chronic kidney disease (CKD) is a growing public health problem worldwide. CKD not only leads to renal function decline but also increases the risk of multiple complications, sarcopenia being particularly common and severe. At present, there is a lack of prediction tools specifically for th...

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Κύριοι συγγραφείς:	Yan Zhao, Zongyue Hu, Huaize Dong, Lu Zhu, Qiuqiu Xia, Chu Lei, Xi Peng, Ke Zhu, Jia Li, Xuemei Liu
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Nature Portfolio 2025-11-01
Σειρά:	Scientific Reports
Θέματα:	Predictive model Sarcopenia CKD Nomogram CHARLS
Διαθέσιμο Online:	https://doi.org/10.1038/s41598-025-26378-2
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