Literature DB >> 25342852

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

M C Amato1, A Magistro1, G Gambino1, R Vesco1, C Giordano2.   

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, OGTT would have a high 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 IFG+IGT 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 IFG+IGT, 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); P=0.014) and waist circumference (0.760 (95% CI: 0.70-0.81) vs 0.619 (95% CI: 0.55-0.68); P=0.028). 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.
© 2015 European Society of Endocrinology.

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Year:  2014        PMID: 25342852     DOI: 10.1530/EJE-14-0600

Source DB:  PubMed          Journal:  Eur J Endocrinol        ISSN: 0804-4643            Impact factor:   6.664


  7 in total

1.  Body fat indices as effective predictors of insulin resistance in obese/non-obese polycystic ovary syndrome women in the Southwest of China.

Authors:  Xin Huang; Qiuyi Wang; Tingting Liu; Tianjiao Pei; Dong Liu; Huili Zhu; Wei Huang
Journal:  Endocrine       Date:  2019-03-28       Impact factor: 3.633

2.  Visceral adiposity index levels in overweight and/or obese, and non-obese patients with polycystic ovary syndrome and its relationship with metabolic and inflammatory parameters.

Authors:  U Durmus; C Duran; S Ecirli
Journal:  J Endocrinol Invest       Date:  2016-11-12       Impact factor: 4.256

3.  Evaluation of Novel Obesity and Lipid-Related Indices as Indicators for the Diagnosis of Metabolic Syndrome and Premetabolic Syndrome in Chinese Women with Polycystic Ovary Syndrome.

Authors:  Qianqian Yin; Jianhua Zheng; Yijuan Cao; Xiaonan Yan; Hong Zhang
Journal:  Int J Endocrinol       Date:  2021-08-17       Impact factor: 3.257

4.  Visceral Adiposity Index: Simple Tool for Assessing Cardiometabolic Risk in Women with Polycystic Ovary Syndrome.

Authors:  Hiya Agrawal; Kiran Aggarwal; Anju Jain
Journal:  Indian J Endocrinol Metab       Date:  2019 Mar-Apr

Review 5.  Polycystic ovary syndrome and type 2 diabetes mellitus: A state-of-the-art review.

Authors:  Sarantis Livadas; Panagiotis Anagnostis; Julia K Bosdou; Dimitra Bantouna; Rodis Paparodis
Journal:  World J Diabetes       Date:  2022-01-15

6.  A Meta-Analysis of the Effect of Sodium Glucose Cotransporter-2 Inhibitors on Metabolic Parameters in Patients With Polycystic Ovary Syndrome.

Authors:  Binayak Sinha; Samit Ghosal
Journal:  Front Endocrinol (Lausanne)       Date:  2022-02-21       Impact factor: 5.555

7.  Can dysglycemia in OGTT be predicted by baseline parameters in patients with PCOS?

Authors:  Sarantis Livadas; Christina Bothou; Justyna Kuliczkowska-Płaksej; Ralitsa Robeva; Andromahi Vryonidou; Jelica Bjekic Macut; Ioannis Androulakis; Milica Opalic; Zadalla Mouslech; Andrej Milewicz; Alessandra Gambineri; Dimitrios Panidis; Djuro Macut
Journal:  Endocr Connect       Date:  2022-04-22       Impact factor: 3.221

  7 in total

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