Advance in prediction models for diabetic kidney disease

VernacularTitle:糖尿病肾脏疾病预测模型的研究进展
Author: Dafa DING ¹ ; Xian SHAO ; Pei YU
Author Information

1. 天津医科大学朱宪彝纪念医院血液净化中心，国家卫生健康委员会激素与发育重点实验室，天津市代谢疾病重点实验室　300070
Keywords: Diabetic kidney disease; Prediction; Prediction model; EASD annual meeting
From: Chinese Journal of Endocrinology and Metabolism 2022;38(8):683-687
CountryChina
Language:Chinese
Abstract: Diabetic kidney disease (DKD) is one of the most common microvascular complications of diabetes mellitus, with high incidence and disease burden, and has become the main cause of end-stage kidney disease. This article reviews the epidemiological features of DKD, unmet clinical needs, and the progress of prediction model for DKD in detail, by combining the relevant hotspots of the 57 th European Association for the Study of Diabetes scientific annual meeting in an attempt to provide references for the formulation of DKD clinical strategies.