title: Metabolic profile of the different phenotypes of polycystic ovary syndrome in two Latin American populations.
abstract: OBJECTIVE
  To evaluate the metabolic profile of Chilean and Argentinian women with polycystic ovary syndrome (PCOS) according to the Rotterdam criteria.
  
  
  METHODS
  Observational cross-sectional study.
  
  
  METHODS
  Academic centers.
  
  
  METHODS
  Women with PCOS, aged 18-39 years: 220 Chilean (PCOSCh) and 206 Argentinian (PCOSAr).
  
  
  METHODS
  Physical examination, fasting blood samples for androgens, gonadotropins, metabolic parameters, and a transvaginal ultrasound.
  
  
  METHODS
  Comparative analysis of the metabolic profile in both populations divided into four phenotypes.
  
  
  RESULTS
  The distribution of the different phenotypes was different in both populations. PCOSCh women showed a higher body mass index and a higher percentage of metabolic syndrome in all phenotypes compared with the PCOSAr women. The PCOSAr women exhibited a statistically significantly higher diastolic blood pressure in phenotypes A, B, and C and a higher percentage of hypertension in phenotypes A and D compared with the PCOSCh women.
  
  
  CONCLUSIONS
  The data show differences in the metabolic profile of both populations. PCOSCh women presented with greater metabolic alterations such as dysglycemia and dyslipidemia and a higher prevalence of metabolic syndrome, independent of the phenotype. The PCOSAr patients showed more elevated blood pressure. Ethnic diversity associated with environmental factors are fundamental elements in the analysis of the PCOS phenotypes.
authors.affiliation: Endocrinology and Metabolism Laboratory, West Division, School of Medicine, University of Chile, Santiago, Chile.
authors.forename: Amanda
authors.initials: A
authors.lastname: Ladrón de Guevara
authors.affiliation: Endocrinology and Diabetes Department, Maternity and Neonatology University Hospital, National Córdoba University, Córdoba, Argentina.
authors.forename: Carolina
authors.initials: C
authors.lastname: Fux-Otta
authors.affiliation: Endocrinology and Metabolism Laboratory, West Division, School of Medicine, University of Chile, Santiago, Chile.
authors.forename: Nicolás
authors.initials: N
authors.lastname: Crisosto
authors.affiliation: Endocrinology and Diabetes Department, Maternity and Neonatology University Hospital, National Córdoba University, Córdoba, Argentina.
authors.forename: Paula
authors.initials: P
authors.lastname: Szafryk de Mereshian
authors.affiliation: Endocrinology and Metabolism Laboratory, West Division, School of Medicine, University of Chile, Santiago, Chile.
authors.forename: Bárbara
authors.initials: B
authors.lastname: Echiburú
authors.affiliation: Applied Pharmacology Cathedra, National Córdoba University, Córdoba, Argentina.
authors.forename: Gabriel
authors.initials: G
authors.lastname: Iraci
authors.affiliation: Laboratory of Nutritional Genomics, Department of Nutrition, Faculty of Medicine, University of Chile, Santiago, Chile.
authors.forename: Francisco
authors.initials: F
authors.lastname: Perez-Bravo
authors.affiliation: Endocrinology and Metabolism Laboratory, West Division, School of Medicine, University of Chile, Santiago, Chile. Electronic address: tsir@med.uchile.cl.
authors.forename: Teresa
authors.initials: T
authors.lastname: Sir-Petermann
mesh_terms: D000293:Adolescent; D000328:Adult; D000728:Androgens / Q000097:blood; D001118:Argentina / Q000453:epidemiology; D015415:Biomarkers / Q000097:blood; D015992:Body Mass Index; D002677:Chile / Q000453:epidemiology; D003430:Cross-Sectional Studies; D050171:Dyslipidemias / Q000175:diagnosis / Q000208:ethnology; D005006:Ethnicity; D005215:Fasting / Q000097:blood; D005260:Female; D006062:Gonadotropins / Q000097:blood; D006801:Humans; D006943:Hyperglycemia / Q000175:diagnosis / Q000208:ethnology; D006973:Hypertension / Q000175:diagnosis / Q000208:ethnology; D016015:Logistic Models; D024821:Metabolic Syndrome / Q000097:blood / Q000175:diagnosis / Q000208:ethnology*; D015999:Multivariate Analysis; D016017:Odds Ratio; D010641:Phenotype; D011085:Polycystic Ovary Syndrome / Q000097:blood / Q000000981:diagnostic imaging / Q000208:ethnology*; D015995:Prevalence; D012307:Risk Factors; D014463:Ultrasonography; D055815:Young Adult
chemical_list: D000728:Androgens; D015415:Biomarkers; D006062:Gonadotropins
keywords: Argentina; Chile; Rotterdam phenotypes; metabolic syndrome; polycystic ovary syndrome