Incidence, Development, and Prognosis of Diabetic Kidney Disease in China: Design and Methods

• Main Authors: Yao-Zheng Yang, Jin-Wei Wang, Fang Wang, Yun-Tao Wu, Hai-Yan Zhao, Min Chen, Lu-Xia Zhang, Shou-Ling Wu, Ming-Hui Zha
• Format: Article
• Language: English
• Published: Wolters Kluwer 2017-01-01
• Series: Chinese Medical Journal
• Subjects: Biomarker; China; Diabetic Kidney Disease; Incidence; Progression
• Online Access: http://www.cmj.org/article.asp?issn=0366-6999;year=2017;volume=130;issue=2;spage=199;epage=202;aulast=Yang

Background: Although that glomerulonephritis is the major cause of end-stage renal disease in developing countries such as China, the increasing prevalence of diabetes has contributed to the changing spectrum of predialysis chronic kidney disease. Recent studies have revealed an increased proportion of patients with diabetic kidney disease (DKD) in hemodialysis populations in large cities in China. However, studies regarding the clinical phenotype of DKD in China are extremely limited. The incidence, development, and prognosis of diabetic kidney disease (INDEED) study aims to investigate the incidence, progression, and prognosis of DKD, as well as the associated genetic, behavioral, and environmental factors and biomarkers in patients with DKD in China. Methods: INDEED study is a prospective cohort study based on all participants with diabetes in the Kailuan study, which is a general population-based cohort study in northern China. Altogether, over 10,000 participants with diabetes will be followed biennially. Questionnaires documenting general characteristics, behavioral and environmental factors, and medical history will be administrated. Anthropometric measurements and a series of laboratory tests will be performed in one central laboratory. The DNA, plasma, and urine samples of every participant will be stored in a biobank for future research. Conclusions: INDEED study will provide essential information regarding the clinical phenotype and prognosis of patients with DKD in China and will be valuable to identify factors and biomarkers associated with patients with DKD in China.