Marcelo Rodrigues Bacci
Sao Bernardo do Campo, Brazil
Title: Early kidney injury biomarkers in type 2 diabetes patients
Biography
Biography: Marcelo Rodrigues Bacci
Abstract
Backgound: Diabetic nephropathy is associated with specific histological changes. An early detection of the depletion of the glomerular and tubular function can be done, with biomarkers of diabetic disease. The aim of this study, was to evaluate the accuracy of early kidney dysfunction biomarkers in type 2 diabetes.Methods: Patients with type 2 diabetes, were split according to their levels of glycated hemoglobin. Their urine and blood samples were taken to measure Cystatin C (CysC), NGAL, Beta-Trace Protein (BTP) and the first morning void Albumin-Creatinine Ratio (ACR). Patients in the end stage of the renal disease or in dialysis were not included. Receiver-Operating characteristic Curves (ROC) were generated and the Areas Under the Curve (AUCs) were compared with the performance of the biomarkers used in early detection of kidney dysfunction in type 2 diabetic patients. Results: Ninety patients with type 2 diabetes were chosen. CysC was positively correlated with creatinine (p<0.001), Estimated Glomerular Filtration Rate (eGFR) (p<0.001), and urinary βTP (p=0.01). The AUC for CysC was 0.635, 0.621 for serum NGAL and 0.660 for ACR. The crude logistics regression model, observed a positive association between serum CysC (p=0.01), and serum NGAL (p<0.001).The linear regression model, showed a positive association between serum CysC, creatinine and eGFR (p<0.001), but did not show a positive association with Glicated Hemoglobin (p=0.892).Conclusions: NGAL and serum CysC were positively associated with the presence of renal dysfunction and better performance on the ROC analysis in relation to other markers evaluated in patients with T2D without kidney disfunction.