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Research progress in the prediction models of sarcopenia risk in end-stage renal disease patients

  • CHEN Lu-Chen ,
  • SHEN Hua-Juan ,
  • DONG Yong-Ze ,
  • ZHAO Meng-Jiao ,
  • CHEN Yan-Fang ,
  • JIA Yan-Qing ,
  • YAO Shi-Yan ,
  • MA Guan-Nan
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  • College of Nursing, Zhejiang University of Chinese Medicine, Hangzhou 310053, China;  2Department of Nephrology, Zhejiang Provincial People's Hospital, Hangzhou 310014, China; 3College of Nursing, Hangzhou Normal University, Hangzhou 311121, China

Received date: 2024-06-20

  Revised date: 2024-09-30

  Online published: 2025-03-12

Abstract

Sarcopenia is one of the common complications in end-stage renal disease (ESRD) patients, and is frequently associated with adverse outcomes. This article reviews the risk factors for sarcopenia, and construction and verification of prediction models for sarcopenia in ESRD patients, aiming to provide references for construction of a high-quality prediction model for sarcopenia.

Cite this article

CHEN Lu-Chen , SHEN Hua-Juan , DONG Yong-Ze , ZHAO Meng-Jiao , CHEN Yan-Fang , JIA Yan-Qing , YAO Shi-Yan , MA Guan-Nan . Research progress in the prediction models of sarcopenia risk in end-stage renal disease patients[J]. Chinese Journal of Blood Purification, 2025 , 24(03) : 235 -238 . DOI: 10.3969/j.issn.1671-4091.2025.03.014

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