Cargando…

Should All Women with Polycystic Ovary Syndrome Be Screened for Metabolic Parameters?: A Hospital-Based Observational Study

This hospital-based observational study aims to estimate differences in metabolic abnormalities between different polycystic ovary syndrome (PCOS) phenotypes and their distribution characteristics. The prevalence of metabolic abnormalities among different PCOS phenotypes, including diabetes mellitus...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Hui, Li, Lin, Gu, Jian, Li, Yu, Chen, Xiaoli, Yang, Dongzi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5130242/
https://www.ncbi.nlm.nih.gov/pubmed/27902723
http://dx.doi.org/10.1371/journal.pone.0167036
_version_ 1782470700248858624
author Li, Hui
Li, Lin
Gu, Jian
Li, Yu
Chen, Xiaoli
Yang, Dongzi
author_facet Li, Hui
Li, Lin
Gu, Jian
Li, Yu
Chen, Xiaoli
Yang, Dongzi
author_sort Li, Hui
collection PubMed
description This hospital-based observational study aims to estimate differences in metabolic abnormalities between different polycystic ovary syndrome (PCOS) phenotypes and their distribution characteristics. The prevalence of metabolic abnormalities among different PCOS phenotypes, including diabetes mellitus (DM), metabolic syndrome (MS), pre-diabetes mellitus (pre-DM), insulin resistance (IR) and dyslipidemia were compared. A total of 2436 women who were ≥18 years old and who were hospitalized in Sun Yat-Sen University affiliated hospital from 1998 to 2015 in GuangZhou, China, were included in this study. PCOS phenotypes were recorded according to the 2003 Rotterdam criteria, including the polycystic ovary morphology (PCO), hyperandrogenism (HA) and ovulation dysfunction (OD) phenotype (PCO+HA+OD); the ovulation phenotype (PCO+HA); the non-PCO phenotype (HA+OD); and the non-HA phenotype (PCO+OD). Notably, 56% of the patients had the classic phenotype (PCO+HA+OD). Importantly, there was no significant difference in the prevalence of metabolic abnormalities or the distribution characteristics of the metabolic abnormalities among these four PCOS phenotypes. Our study supports the notion that metabolic abnormalities and the distribution characteristics of metabolic abnormalities should not be used to distinguish among the various clinical PCOS phenotypes.
format Online
Article
Text
id pubmed-5130242
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-51302422016-12-15 Should All Women with Polycystic Ovary Syndrome Be Screened for Metabolic Parameters?: A Hospital-Based Observational Study Li, Hui Li, Lin Gu, Jian Li, Yu Chen, Xiaoli Yang, Dongzi PLoS One Research Article This hospital-based observational study aims to estimate differences in metabolic abnormalities between different polycystic ovary syndrome (PCOS) phenotypes and their distribution characteristics. The prevalence of metabolic abnormalities among different PCOS phenotypes, including diabetes mellitus (DM), metabolic syndrome (MS), pre-diabetes mellitus (pre-DM), insulin resistance (IR) and dyslipidemia were compared. A total of 2436 women who were ≥18 years old and who were hospitalized in Sun Yat-Sen University affiliated hospital from 1998 to 2015 in GuangZhou, China, were included in this study. PCOS phenotypes were recorded according to the 2003 Rotterdam criteria, including the polycystic ovary morphology (PCO), hyperandrogenism (HA) and ovulation dysfunction (OD) phenotype (PCO+HA+OD); the ovulation phenotype (PCO+HA); the non-PCO phenotype (HA+OD); and the non-HA phenotype (PCO+OD). Notably, 56% of the patients had the classic phenotype (PCO+HA+OD). Importantly, there was no significant difference in the prevalence of metabolic abnormalities or the distribution characteristics of the metabolic abnormalities among these four PCOS phenotypes. Our study supports the notion that metabolic abnormalities and the distribution characteristics of metabolic abnormalities should not be used to distinguish among the various clinical PCOS phenotypes. Public Library of Science 2016-11-30 /pmc/articles/PMC5130242/ /pubmed/27902723 http://dx.doi.org/10.1371/journal.pone.0167036 Text en © 2016 Li et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Li, Hui
Li, Lin
Gu, Jian
Li, Yu
Chen, Xiaoli
Yang, Dongzi
Should All Women with Polycystic Ovary Syndrome Be Screened for Metabolic Parameters?: A Hospital-Based Observational Study
title Should All Women with Polycystic Ovary Syndrome Be Screened for Metabolic Parameters?: A Hospital-Based Observational Study
title_full Should All Women with Polycystic Ovary Syndrome Be Screened for Metabolic Parameters?: A Hospital-Based Observational Study
title_fullStr Should All Women with Polycystic Ovary Syndrome Be Screened for Metabolic Parameters?: A Hospital-Based Observational Study
title_full_unstemmed Should All Women with Polycystic Ovary Syndrome Be Screened for Metabolic Parameters?: A Hospital-Based Observational Study
title_short Should All Women with Polycystic Ovary Syndrome Be Screened for Metabolic Parameters?: A Hospital-Based Observational Study
title_sort should all women with polycystic ovary syndrome be screened for metabolic parameters?: a hospital-based observational study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5130242/
https://www.ncbi.nlm.nih.gov/pubmed/27902723
http://dx.doi.org/10.1371/journal.pone.0167036
work_keys_str_mv AT lihui shouldallwomenwithpolycysticovarysyndromebescreenedformetabolicparametersahospitalbasedobservationalstudy
AT lilin shouldallwomenwithpolycysticovarysyndromebescreenedformetabolicparametersahospitalbasedobservationalstudy
AT gujian shouldallwomenwithpolycysticovarysyndromebescreenedformetabolicparametersahospitalbasedobservationalstudy
AT liyu shouldallwomenwithpolycysticovarysyndromebescreenedformetabolicparametersahospitalbasedobservationalstudy
AT chenxiaoli shouldallwomenwithpolycysticovarysyndromebescreenedformetabolicparametersahospitalbasedobservationalstudy
AT yangdongzi shouldallwomenwithpolycysticovarysyndromebescreenedformetabolicparametersahospitalbasedobservationalstudy