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ESKD Risk Prediction Model in a Multicenter Chronic Kidney Disease Cohort in China: A Derivation, Validation, and Comparison Study.

Miao HuiJun MaHongyu YangBixia GaoFang WangJin-Wei WangJicheng LvLuxia ZhangLi YangMinghui Zhao
Published in: Journal of clinical medicine (2023)
We developed and validated a new ESKD risk prediction model for patients with CKD, employing commonly measured indicators in clinical practice, and its overall performance was satisfactory. The conventional Cox regression and certain ML models exhibited equal accuracy in predicting the course of CKD.
Keyphrases
  • chronic kidney disease
  • end stage renal disease
  • clinical practice
  • cross sectional