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Assessment of insulin resistance and metabolic syndrome in young reproductive aged women with polycystic ovarian syndrome: analogy of surrogate indices.

Research paper by Nadia N Rashid, Aruna A Nigam, Sana S Kauser, Prem P Prakash, S K SK Jain, Saima S Wajid

Indexed on: 12 Feb '20Published on: 11 Feb '20Published in: Archives of physiology and biochemistry



Abstract

Polycystic ovarian syndrome has emerged as a cardiometabolic disorder and aim of this study was to evaluate various surrogate indices and their diagnostic potential to determine the most convenient and cost-effective marker of IR, CVD, and MetS in these women. Ninety-five PCOS women and 45 age matched healthy women were enrolled. Measures included anthropometric and biochemical parameters, BMI, WHR, WHtR, BAI, VAI, LAP, HOMA-IR, and lipid profile. LAP has highest AUC value 0.781 with cut-off value = 39.73 (sensitivity = 75% and specificity = 79.5%) for predicting IR and AUC value 0.83 with cut-off value = 35.63 (sensitivity = 94.4% and specificity = 77.3%) for predicting MetS in women with PCOS. LAP had statistically strong positive correlation with WC, BMI, WHR, fasting glucose, fasting insulin, HOMA-IR, TC, TG, and SBP. LAP is a powerful and reliable marker for assessment of IR, CVD, and MetS risk in young Indian women with PCOS.