Visceral adiposity index and DHEAS are useful markers of diabetes risk in women with polycystic ovary syndrome

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19 Citazioni (Scopus)

Abstract

Objective: On the basis of the known diabetes risk in polycystic ovary syndrome (PCOS), recent guidelines of the Endocrine Society recommend the use of an oral glucose tolerance test (OGTT) to screen for impaired glucose tolerance (IGT) and type 2 diabetes (T2DM) in all women with PCOS. However, given the high prevalence of PCOS, OGTTwould have ahigh cost-benefit ratio. In this study, we identified, through a receiver operating characteristic analysis, simple predictive markers of the composite endpoint (impaired fasting glucose (IFG) or IGT or IFGCIGT or T2DM) in women with PCOS according to the Rotterdam criteria.Design: We conducted a cross-sectional study of 241 women with PCOS in a university hospital setting.Methods: Clinical, anthropometric, and metabolic (including OGTT) parameters were evaluated. The homeostasis model assessment of insulin resistance (HOMA2-IR), the Matsuda index of insulin sensitivity, and the oral dispositional index and visceral adiposity index (VAI) were determined.Results: Out of 241 women included in this study, 28 (11.6%) had an IFG, 13 (5.4%) had IGT, four (1.7%) had IFGCIGT, and four (1.7%) had T2DM. Among the anthropometric variables examined, the VAI had a significantly higher C-statistic compared with BMI (0.760 (95% CI: 0.70-0.81) vs 0.613 (95% CI: 0.54-0.67); PZ0.014) and waist circumference (0.760 (95% CI: 0.70-0.81) vs 0.619 (95% CI: 0.55-0.68); PZ0.028). Among all the hormonal and metabolic serum variables examined, DHEAS showed the highest C-statistic (0.720 (95% CI: 0.65-0.77); P<0.001).Conclusions: In addition to fasting glucose, the VAI and DHEAS may be considered useful tools for prescreening in all women with PCOS without the classical risk factors for diabetes.
Lingua originaleEnglish
pagine (da-a)79-88
Numero di pagine10
RivistaEuropean Journal of Endocrinology
Volume172
Stato di pubblicazionePublished - 2014

All Science Journal Classification (ASJC) codes

  • Endocrinology, Diabetes and Metabolism
  • Endocrinology

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