TY - JOUR AU - Van Nga, Vu AU - Thi Kim Anh, Le AU - Thi My Dung, Dinh AU - Thi Binh Minh, Nguyen AU - Thi Diem Hong, Le AU - Thi Thom, Vu PY - 2021 TI - Applying Logistic Regression to Predict Diabetic Nephropathy Based on Some Clinical and Paraclinical Characteristics of Type 2 Diabetic Patients JF - VNU Journal of Science: Medical and Pharmaceutical Sciences; Vol 37 No 2 DO - 10.25073/2588-1132/vnumps.4312 KW - N2 - Today, the incidence of type 2 diabetes mellitus is increasing rapidly on global. This disease is shown with many complications that significantly affect public health. One of them is kidney complications, which have a high incidence among diabetic patients in Vietnam (25.6-33.1%). Age, history of hypertension, and dyslipidemia are considered to be the main risk factors for diabetic nephropathy. Thus, early detection of these factors for kidney damage is significant for diagnosing, monitoring, treatment, and prognosis of diabetic patients. Our descriptive, cross-sectional study conducting on 120 diabetic patients at E Hospital has observed that blood cholesterol levels, HbA1c levels were independently related to eGFR decline below 60 mL/min/1.73m 2 . From those data, an equation to predict the risk of diabetic kidney disease was estimated as p =  with k = Keyword: Type 2 diabetes, Diabetic nephropathy, Risk factor Today, the incidence of type 2 diabetes mellitus is increasing rapidly on global. This disease is shown with many complications that significantly affect public health. One of them is kidney complications, which have a high incidence among diabetic patients in Vietnam (25.6-33.1%). Age, history of hypertension, and dyslipidemia are considered to be the main risk factors for diabetic nephropathy. Thus, early detection of these factors for kidney damage is significant for diagnosing, monitoring, treatment, and prognosis of diabetic patients. Our descriptive, cross-sectional study conducting on 120 diabetic patients at E Hospital has observed that blood cholesterol levels, HbA1c levels were independently related to eGFR decline below 60 mL/min/1.73m 2 . From those data, an equation to predict the risk of diabetic kidney disease was estimated as p =  with k = Keyword Type 2 diabetes, Diabetic nephropathy, Risk factor. References [1] N. H. Cho, J. Kirigia, J. C. Mnanya, K. Ogurstova, L. Guraiguata, W. Rathmann, G. Roglic, N. Forouhi, R. Dajani, A. Esteghmati, E. Boyko, L. Hambleton, O. L. M. Neto, P. A. Montoya, S. Joshi, J. Chan, J. Shaw, T.A. Samuels, M. Pavkov, A. Reja, IDF Diabetes Atlas Eight Edition, International Diabete Federation, England, 2017. [2] N. T. Khue, Diabetes – General Endocrinology, Ho Chi Minh Publisher, Ho Chi Minh city, 2003 (in Vietnamese). [3] H. H. Kiem, Clinical Nephrology, Medical Publishing House, Hanoi, 2010 (in Vietnamese). [4] T. H. 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