Abstract
Purpose:It is estimated that type 2 diabetes mellitus affects 530 million people worldwide and 10.5 per cent of these patients have diabetic retinopathy. This study aims to investigate the predictive value of cardiometabolic control, GGT and malnutrition-related inflammation markers for predicting Diabetic retinopathy prevalence and prognosis.
 Materials and Methods:Type 2 Diabetes Mellitus patients who were consecutively admitted to Internal and Ophthalmology outpatient clinics were included in this study. Clinical, haematological and biochemical data were recorded. Cut-off values of GGT, PNI, NRI and HALP scores were determined by receiver operator characteristic curve analysis. Univariate and multivariate analyses were performed to determine the association of all variables with Diabetic retinopathy. As a result, we evaluated which of these tests were predictive and prognostic for the development of diabetic retinopathy.
 Results:This study included 166 patients. Fasting blood glucose(p
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