Biochemical hyperandrogenism is associated with metabolic syndrome independently of adiposity and insulin resistance in Romanian polycystic ovary syndrome patients

• DOI: 10.1007/s12020-014-0340-9
• Publication Date: 2014-07-14T08:40:13Z
• Authors: Alice Albu; Serban Radian; Simona Fica; Carmen Gabriela B...
• Keywords: Adult; Metabolic Syndrome; Romania; Comorbidity; 3. Good health; Young Adult; 03 medical and health sciences; 0302 clinical medicine; Prevalence; Humans; Female; Insulin Resistance; Hyperandrogenism; Adiposity; Polycystic Ovary Syndrome

The aim of the study was to determine whether Romanian polycystic ovary syndrome (PCOS) patients have an increased prevalence of metabolic syndrome (MetS) and to study the involvement of adiposity, insulin resistance and hyperandrogenism in the pathogenesis of MetS in PCOS. A total of 398 PCOS patients and 126 controls were evaluated between January 2006 and December 2012. MetS was defined by National Cholesterol Education Program, Adult Treatment Panel III criteria. Principal component analysis (PCA) was used to analyze the correlations among variables of interest by grouping them in few components, and principal component (PCs) scores were saved and used as independent variables in logistic regression. The prevalence of MetS was higher among patients with PCOS (20.4 %) than in controls (11.1 %, p < 0.05). In PCOS patients, PCA extracted three PCs from the analyzed variables. First PC aggregated variables related to adiposity and insulin resistance, with factor loadings showing strong relationship between these parameters. The second PC included markers of hyperandrogenemia and was best represented by free androgen index (FAI) which correlated strongly and exclusively with this PC. The third component was best represented by hirsutism. Logistic regression analysis revealed that in PCOS patients, the first and the second PCs were independently associated with MetS, whereas the third component was not. Romanian PCOS patients have an increased risk for MetS; adiposity, insulin resistance and hyperandrogenemia, but not hirsutism, are independent predictors of MetS presence. Our data also suggest that insulin resistance is only secondary to increased adiposity and FAI is a good marker of biochemical hyperandrogenism with little influences from the metabolic component.