title: Prevalence of non-diabetic renal disease in patients with type 2 diabetes.
abstract: It is important to differentiate proteinuria from non-diabetic renal diseases (NDRD) or diabetic nephropathy in diabetic patients. The purpose of our study was to evaluate the prevalence of NDRD. A retrospective analysis was performed on diabetic patients who had undergone renal biopsy during a 6-year period. Our study revealed a high prevalence of NDRD in the diabetic population. Sixty-nine patients were investigated, 52.2% were diagnosed as NDRD and 47.8% as DN. Focal segmental glomerulosclerosis was the most common lesion found in patients with NDRD. We found a relationship between DN and fasting blood glucose level, systolic blood pressure, diastolic blood pressure, LVMI, intima-media thickening (IMT), and the presence of carotid plaques. Patients with NDRD had a lower incidence of diabetic retinopathy (DR). The absence of DR to differentiate NDRD had a sensitivity of 72.7%, a specificity 91.7%, and an ROC=0.822. Fasting blood glucose level had a sensitivity and specificity of 93.9% and 75%, respectively. Similarly, the use of IMT had sensitivity and specificity of 90% and 75.8%, respectively. In this study, we determined that the absence of DR, a lower fasting blood glucose level, and IMT is useful in differentiating NDRD from DN in diabetic patients with overt proteinuria.
authors.affiliation: Renal Division, Molecular Cell Lab for Kidney Disease, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 1630 Dongfang Road, Shanghai 200127, PR China.
authors.forename: Shan
authors.initials: S
authors.lastname: Mou
authors.forename: Qin
authors.initials: Q
authors.lastname: Wang
authors.forename: Jian
authors.initials: J
authors.lastname: Liu
authors.forename: Xiajing
authors.initials: X
authors.lastname: Che
authors.forename: Minfang
authors.initials: M
authors.lastname: Zhang
authors.forename: Liou
authors.initials: L
authors.lastname: Cao
authors.forename: Wenyan
authors.initials: W
authors.lastname: Zhou
authors.forename: Zhaohui
authors.initials: Z
authors.lastname: Ni
mesh_terms: D019540:Area Under Curve; D001786:Blood Glucose / Q000378:metabolism; D016009:Chi-Square Distribution; D003924:Diabetes Mellitus, Type 2 / Q000150:complications* / Q000175:diagnosis; D003928:Diabetic Nephropathies / Q000175:diagnosis / Q000453:epidemiology; D003937:Diagnosis, Differential; D004452:Echocardiography; D005260:Female; D006801:Humans; D007674:Kidney Diseases / Q000150:complications* / Q000175:diagnosis / Q000453:epidemiology*; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D011507:Proteinuria / Q000175:diagnosis / Q000453:epidemiology / Q000209:etiology; D012372:ROC Curve; D012044:Regression Analysis; D012189:Retrospective Studies; D012720:Severity of Illness Index
chemical_list: D001786:Blood Glucose