Evaluation of Some Parameters to Detection of Type 2 Diabetes Induced Nephropathy in the Population Sample of Al Dewaniyah Province

Abstract

Background: Diabetic nephropathy (DN is a dreaded consequence of Type2 diabetes mellitus (T2D), accounting for about 40% of end-stage renal disease (ESRD). Aim: finding a predictive and tracking function of kidney failure and generalizing it as a clinical diagnostic method effective, and finding related to the development of complications of this disease with age, gender, familiar History, smoking and area of residence. Subjects: Study was conducted at a single center in Iraq from the beginning of February to the end of July 2021,The 90 individual were divided into 2 groups, of which 50 were chronic renal failure patients with T2D, and 40 were age and sex matched controls.
Methods: The Insulin and HbA1C% levels was measured by using sandwich ELISA technique and a sandwich immune detection method respectively, A spectrophotometric method was applied to measure concentrations of urea, creatinine and glucose, in serum samples, then the urea-creatinine ratio and HOMA-IR were calculated mathematically. Results: There were significant elevated differences (p<0.05) for all parameters in the patient group compared to healthy controls. Moreover, ANOVA test showed significant (p<0.05) variation when Urea, Creatinine, Glucose, HOMA-IR and HbA1C % levels were compared between the same sex in the two subgroups, while the test showed significant (p<0.05) variation for only males when Urea: Creatinine ratio and Insulin levels were compared between the same sex. Conclusion: It can be dependable on investigations of Urea, Creatinine, Urea: Creatinine ratio Glucose, Insulin, HOMA-IR and HbA1C % as good prognostic indicators for diagnosis renal failure resulting from complications of DM.