title: Should All Women with Polycystic Ovary Syndrome Be Screened for Metabolic Parameters?: A Hospital-Based Observational Study.
abstract: 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.
authors.affiliation: Department of Reproductive Medicine Center, Sun Yat-Sen Memorial Hospital, GuangZhou, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Li
authors.affiliation: Department of Reproductive Medicine Center, Sun Yat-Sen Memorial Hospital, GuangZhou, China.
authors.forename: Lin
authors.initials: L
authors.lastname: Li
authors.affiliation: Department of Gynecology, Third Affiliated Hospital of Sun Yat-Sen University, GuangZhou, China.
authors.forename: Jian
authors.initials: J
authors.lastname: Gu
authors.affiliation: Department of Reproductive Medicine Center, Sun Yat-Sen Memorial Hospital, GuangZhou, China.
authors.forename: Yu
authors.initials: Y
authors.lastname: Li
authors.affiliation: Department of Reproductive Medicine Center, Sun Yat-Sen Memorial Hospital, GuangZhou, China.
authors.forename: Xiaoli
authors.initials: X
authors.lastname: Chen
authors.affiliation: Department of Reproductive Medicine Center, Sun Yat-Sen Memorial Hospital, GuangZhou, China.
authors.forename: Dongzi
authors.initials: D
authors.lastname: Yang
mesh_terms: D000328:Adult; D005260:Female; D006761:Hospitals; D006801:Humans; D008403:Mass Screening; D008659:Metabolic Diseases / Q000150:complications / Q000175:diagnosis; D010641:Phenotype; D011085:Polycystic Ovary Syndrome / Q000150:complications / Q000378:metabolism*; D011379:Prognosis