慢性肾功能衰竭
风险模型
风险分析(工程)
计算机科学
重症监护医学
医学
内科学
作者
Lan Zhou,Qun Liu,S H Yang
出处
期刊:PubMed
日期:2024-05-06
卷期号:58 (5): 690-697
标识
DOI:10.3760/cma.j.cn112150-20230814-00091
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI