Literature DB >> 21553368

The different phenotypes of polycystic ovary syndrome: no advantages for identifying women with aggravated insulin resistance or impaired lipids.

S Cupisti1, L Haeberle, C Schell, H Richter, C Schulze, T Hildebrandt, P G Oppelt, M W Beckmann, R Dittrich, A Mueller.   

Abstract

BACKGROUND: According to the classification of polycystic ovary syndrome (PCOS) published by the Androgen Excess Society (AES), 10 different phenotypes of the condition are possible. The question remains of whether using these phenotypes might enable us to identify women with impaired insulin resistance or an impaired lipid profile among patients with PCOS.
MATERIALS AND METHODS: A prospective cohort analysis was performed of 313 women with diagnosed PCOS and 80 control individuals. The screening panel included a physical examination, weight and height measurement, ultrasonography of the ovaries, and hormone, glucose, lipid, and insulin resistance measurements.
RESULTS: There were no statistically significant differences in insulin resistance parameters between the different phenotypes. There were no statistically significant differences in body mass index (BMI) in any of the groups, but BMI showed the best correlation with insulin resistance in all women with PCOS and controls. Sex hormone-binding globulin (SHBG) was inversely correlated with insulin resistance in women with PCOS and controls. High-density lipoprotein (HDL) was negatively correlated with insulin resistance, and free testosterone was positively correlated with it, only in women with PCOS.
CONCLUSIONS: Using the different phenotypes described in the AES classification shows no advantages for identifying women with aggravated insulin resistance or impaired lipid profile among patients with PCOS. © J. A. Barth Verlag in Georg Thieme Verlag KG Stuttgart · New York.

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Year:  2011        PMID: 21553368     DOI: 10.1055/s-0031-1277136

Source DB:  PubMed          Journal:  Exp Clin Endocrinol Diabetes        ISSN: 0947-7349            Impact factor:   2.949


  5 in total

1.  The prevalence and phenotypic manifestations of polycystic ovary syndrome (PCOS) among infertile Sudanese women: a cross-sectional study.

Authors:  Alawia N Elasam; Mohamed A Ahmed; Abdel B A Ahmed; Manal E Sharif; Abdalla Abusham; Bahaeldin Hassan; Ishag Adam
Journal:  BMC Womens Health       Date:  2022-05-13       Impact factor: 2.742

2.  Referral bias in defining the phenotype and prevalence of obesity in polycystic ovary syndrome.

Authors:  Uche Ezeh; Bulent O Yildiz; Ricardo Azziz
Journal:  J Clin Endocrinol Metab       Date:  2013-03-28       Impact factor: 5.958

3.  Polycystic ovary syndrome: clinical and laboratory variables related to new phenotypes using machine-learning models.

Authors:  A A Veloso; K B Gomes; I S Silva; C N Ferreira; L B X Costa; M O Sóter; L M L Carvalho; J de C Albuquerque; M F Sales; A L Candido; F M Reis
Journal:  J Endocrinol Invest       Date:  2021-09-15       Impact factor: 4.256

Review 4.  Genetic Basis of Polycystic Ovary Syndrome (PCOS): Current Perspectives.

Authors:  Muhammad Jaseem Khan; Anwar Ullah; Sulman Basit
Journal:  Appl Clin Genet       Date:  2019-12-24

Review 5.  Effects of hyperandrogenism on metabolic abnormalities in patients with polycystic ovary syndrome: a meta-analysis.

Authors:  Rui Yang; Shuo Yang; Rong Li; Ping Liu; Jie Qiao; Yanwu Zhang
Journal:  Reprod Biol Endocrinol       Date:  2016-10-18       Impact factor: 5.211

  5 in total

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