alexa Polycystic Ovary Syndrome: Correlation between Phenotypes and Metabolic Syndrome | OMICS International | Abstract
ISSN: 2157-7536

Journal of Steroids & Hormonal Science
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Research Article

Polycystic Ovary Syndrome: Correlation between Phenotypes and Metabolic Syndrome

Érika Mendonça das Neves, Angela Maggio da Fonseca, Vicente Renato Bagnoli, Marilena Alicia Souza*, Sandra Dircinha Teixeira de Araújo Moraes, Gustavo Arantes Rosa Maciel, José Maria Soares Junior and Edmund Chada Baracat

Disciplina de Ginecologia/Obstetrícia da Faculdade de Medicina da Universidade de São Paulo, Brazil

*Corresponding Author:
Marilena Alicia Souza
Disciplina de Ginecologia/Obstetrícia da Faculdade de Medicina da Universidade de São Paulo, Brazil
Tel: 551432236538
Fax: 551432236538
E-mail: [email protected]

Received date: March 29, 2014; Accepted date: April 29, 2014; Published date: May 06, 2014

Citation: Neves EM, Fonseca AM, Bagnoli VR, Souza MA, Araújo Moraes SDT, et al. (2014) Polycystic Ovary Syndrome: Correlation between Phenotypes and Metabolic Syndrome. J Steroids Hormon Sci 5:132. doi:10.4172/2157-7536.1000132

Copyright: © 2014 Neves EM, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

The polycystic ovary syndrome (PCOS) is an endocrine metabolic disorder affecting 7% to 10% of women during reproductive age. The metabolic syndrome is understood as a set of clinical factors related to the potential increase in the risk of cardiovascular disease, type II diabetes mellitus, and early mortality. The hyperandrogenism and insulin resistance related to PCOS will result in increased cardiovascular risk and extending throughout the patient’s lifetime.

Objectives: To identify the prevalence of metabolic syndrome in each of the polycystic ovary syndrome (PCOS) phenotypes and the factors linked with metabolic risk.

Methods: Observational study of 566 women between 14 and 39 years with PCOS according to the Rotterdam criteria. The metabolic risk was assessed by descriptive analysis with a confidence interval of 95%. Quantitative variables were tested using the Shapiro-Wilk test and nonparametric Mann-Whitney test. For the multivariate analysis was used the prevalence ratio between several independent variables and the outcome metabolic risk. Identify factors associated with metabolic risk using Cox regression with robust variance.

Results: The mean age was 26.4 ± 5.9 years. Metabolic risk was found in 21%, with a predominance of phenotypes E (28.4%), which is characterized by hirsutism, oligoanovulation, polycystic ovaries; B (25%), defined as biochemical hyperandrogenism, hirsutism, oligoanovulation; and A (22%) described biochemical hyperandrogenism, hirsutism, oligoanovulation and polycystic ovaries. A one-year increase in age raised the risk by 5%. Every one-unit increase in body mass index (BMI) added 8%. Presence of hirsutism tripled the risk. Patients with at least one child ran twice the risk than the nulliparous.

Conclusions: Our data suggested the important factors of metabolic syndrome in women with PCOS are age, obesity, hirsutism, and parity.

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