Diabetic kidney disease(DKD) is a leading cause of chronic kidney disease and end-stage renal disease across the world. Early identification of DKD is vitally important for the effective prevention and control of it. However, the available indicators are doubtful in the early diagnosis of DKD. This study aims to develop a novel system of multidimensional network biomarkers (MDNBs) to estimating early diabetic nephropathy, and further validating the performance of the novel systemin in prediction of the risk for early diabetic nephropathy by a nested case-control study.
Subjects who have signed informed consent.
Subjects who were diagnosed with diabetes at least 5 years.
Subjects showed good compliance, and the follow-up data was available for >5 years.
Renal diseases caused by other causes, including primary and secondary;
All kinds of acute infections;
The expected life expectancy (life expectancy or related diseases) was less than 5 years according to the researcher's judgment.
Drug users or drug abusers;
Second Affiliated Hospital, School of Medicine, Zhejiang University
Lead sponsor
Second Affiliated Hospital of Wenzhou Medical University
Collaborator
Lishui Country People's Hospital
Collaborator