Advances in the construction of risk prediction models for chronic kidney failure
10.3760/cma.j.cn112150-20230814-00091
- VernacularTitle:慢性肾衰竭风险预测模型构建的研究进展
- Author:
Lingwei ZHOU
1
;
Qingzhong LIU
;
Shuohui YANG
Author Information
1. 上海中医药大学附属市中医医院放射科，上海 200071
- Keywords:
Chronic kidney disease;
Prediction model;
Chronic kidney failure;
Dialysis;
Kidney transplantation
- From:
Chinese Journal of Preventive Medicine
2024;58(5):690-697
- CountryChina
- Language:Chinese
-
Abstract:
Chronic kidney disease (CKD) is a major public health problem worldwide. When CKD patients progress to the stage of kidney failure, kidney replacement therapy (KRT) or conservative treatment (palliative or non-dialysis treatment) will be needed. The risk prediction models of chronic kidney failure have been developed in recent years. These models, focusing on demographic indicators, clinical indicators, and laboratory data, are used to predict the likelihood of progression to kidney failure and requiring KRT. This article will retrieve prediction models for chronic kidney failure as an outcome, demonstrate the current research progress, and hope that it may be helpful for the strategies of preventing chronic kidney failure.
