[Advances in the construction of risk prediction models for chronic kidney failure]

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.