title: Role of androgen ratios in the prediction of the metabolic phenotype in polycystic ovary syndrome.
abstract: OBJECTIVE
  To identify the androgen ratio that best predicts insulin resistance and metabolic syndrome among women with polycystic ovary syndrome (PCOS).
  
  
  METHODS
  Data for 180 women with PCOS and 180 healthy controls were extracted from two previous studies in Iran (conducted during 2008-2010 and 2011-2013). The diagnosis of PCOS was based on the Rotterdam criteria. The serum concentration of different androgens was measured. Receiver operating characteristic curve analysis was used to assess the ability of various androgen ratios to predict insulin resistance and metabolic syndrome.
  
  
  RESULTS
  Among women with PCOS, the testosterone-to-androstenedione ratio was the best predictor of insulin resistance (sensitivity 0.83, specificity 0.42) and metabolic syndrome (sensitivity 0.85, specificity 0.70). Among healthy controls, the ratio of free androgen index to testosterone was the best predictor of insulin resistance (sensitivity 0.84, specificity 0.33) and metabolic syndrome (sensitivity 0.91, specificity 0.17).
  
  
  CONCLUSIONS
  The prediction of insulin resistance and metabolic syndrome among women with PCOS was best accomplished with the testosterone-to-androstenedione ratio.
authors.affiliation: Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
authors.forename: Sonia
authors.initials: S
authors.lastname: Minooee
authors.affiliation: Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
authors.forename: Fahimeh
authors.initials: F
authors.lastname: Ramezani Tehrani
authors.affiliation: Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
authors.forename: Maryam
authors.initials: M
authors.lastname: Tohidi
authors.affiliation: Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
authors.forename: Fereidoun
authors.initials: F
authors.lastname: Azizi
mesh_terms: D000293:Adolescent; D000328:Adult; D000728:Androgens / Q000097:blood*; D015415:Biomarkers / Q000097:blood*; D016022:Case-Control Studies; D005260:Female; D006801:Humans; D007492:Iran; D024821:Metabolic Syndrome / Q000097:blood / Q000378:metabolism*; D008875:Middle Aged; D010641:Phenotype; D011085:Polycystic Ovary Syndrome / Q000097:blood / Q000378:metabolism*; D011237:Predictive Value of Tests; D012372:ROC Curve; D013739:Testosterone / Q000097:blood*; D016387:Women's Health; D055815:Young Adult
chemical_list: D000728:Androgens; D015415:Biomarkers; D013739:Testosterone
keywords: Androgen ratio; Androstenedione; Insulin resistance; Metabolic syndrome; Polycystic ovary syndrome; Testosterone