The Use of Anthropometric Measurements of Obesity in Prediction of Microvascular Complications in Obese Type 2 Diabetic Patients.

ABSTRACT

Waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR) are superior to body mass index (BMI) in predicting type 2 diabetes mellitus (T2DM) development. The aim of this study was to investigate the predictive power of BMI, WC, WHR and WHtR for microvascular (chronic kidney disease (CKD), retinopathy and peripheral neuropathy) prevalence in obese (BMI ≥35 kg/m2) T2DM patients. This cross-sectional study included 125 T2DM patients of both genders. The validity of each test was assessed by Receiver Operating Characteristic (ROC) curves; the area under the curve (AUC) was calculated for each anthropometric parameter and microvascular complication. AUCs for WHtR were significantly higher than AUCs for WC with respect to CKD. Optimal cut-off for WHtR was >0.593 and WC >112 cm regarding CKD. The AUC for peripheral neuropathy was significant only for WHR and optimal cut-off for WHR was >1.409 with low sensitivity and high specificity. Our study demonstrated that WHtR, WC and WHR might be used as simple and noninvasive methods for detection of CKD and peripheral neuropathy in obese T2DM population.