Review Article
Advance in prediction models for diabetic kidney disease
Ding Dafa, Shao Xian, Yu Pei
Published 2022-08-25
Cite as Chin J Endocrinol Metab, 2022, 38(8): 683-687. DOI: 10.3760/cma.j.cn311282-20220307-00135
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 57th European Association for the Study of Diabetes scientific annual meeting in an attempt to provide references for the formulation of DKD clinical strategies.
Key words:
Diabetic kidney disease; Prediction; Prediction model; EASD annual meeting
Contributor Information
Ding Dafa
Blood Purification Center, NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital &
Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
Ding Dafa is working in the Department of Endocrinology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu Province, 210000
Shao Xian
Blood Purification Center, NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital &
Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
Yu Pei
Blood Purification Center, NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital &
Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin 300134, China
本文作者要求将作者信息改为：
丁大法1邵娴2于珮2
1南京医科大学第二附属医院内分泌科 210000
2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
通信作者：于珮，Email:yupei@tmu.edu.cn。更正的同时表示歉意！