Cut-off Levels of Visceral Adiposity Index for Determining Hyperandrogenemia in Women with Polycystic Ovary Syndrome

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Suchada Indhavivadhana
Saranya Pattaranutaporn
Thanyarat Wongwananuruk
Panicha Chantrapanichkul
Kitirat Techatraisak
Nutchaya Sa-nga-areekul

Abstract

Objectives: To evaluate the optimum cut-off values and AUC of visceral adiposity index (VAI) and lipid accumulation product (LAP) to predict hyperandrogenemia in Thai polycystic ovary syndrome (PCOS) women and to identify factors that associated with these values.
Materials and Methods: This prospective cross-sectional study recruited 102 Thai PCOS women, aged 18-45 years. All participants were measured for anthropometric data, lipid, carbohydrate and androgen profiles. VAI, LAP and free testosterone were calculated. The receiver operating characteristics (ROC) curve was performed to evaluate the optimum cut-off values of VAI and LAP in predicting hyperandrogenemia, and also to identify factors associated with VAI and LAP.
Results: The mean ± standard deviation of age was 26.9 ± 5.7 years. Prevalence of hyperandrogenemia was 49%. The optimal cut-off values of VAI and LAP in predicting hyperandrogenemia were ≥ 1 (AUC = 0.755) and ≥ 16.5 (AUC = 0.756) respectively. VAI was positively correlated with LAP, hip circumference (HC), waist-to-hip ratio (WHR), the waist-to-height ratio and low density lipoprotein-cholesterol. LAP was significantly correlated with HC, waist circumference, and WHR. Both LAP and VAI were significantly correlated with free testosterone and free androgen index (FAI), but not correlated with total testosterone and dehydroepiandiosterone sulfate.
Conclusion: Both VAI and LAP were significantly correlated with free testosterone and FAI. A VAI value of ≥1 and a LAP value of ≥ 16.5 were determined to be indicators for predicting hyperandrogenemia in PCOS women.

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Indhavivadhana, S.; Pattaranutaporn, S. .; Wongwananuruk, T. .; Chantrapanichkul, P. .; Techatraisak, K. .; Sa-nga-areekul, N. . Cut-off Levels of Visceral Adiposity Index for Determining Hyperandrogenemia in Women With Polycystic Ovary Syndrome. Thai J Obstet Gynaecol 2024, 32, 33-44.
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