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Women with Polycystic Ovary Syndrome and Risk of Cardiovascular Disease.

AbstractBACKGROUND:
Polycystic ovary syndrome (PCOS) is associated with reproductive and metabolic abnormalities. The aim of this study was to analyse risk of cardiovascular disease (CVD) in PCOS, to define individual risk factors and assess their ability to predict risk.
METHODS:
Fifty-four young women with PCOS (22 obese and 32 normal weight) were compared to 46 respective controls (17 obese and 29 normal weight). Anthropometric parameters, lipid status parameters, inflammation markers, concentrations of glucose, transaminases, sex and anterior pituitary hormones, sex hormone binding globulin (SHBG) and androgens were measured. Cardiovascular Risk Score (CVRS), indices for identifying Non-Alcoholic Fatty Liver Disease (NAFLD) and the Index of Central Obesity (ICO) were calculated.
RESULTS:
Significantly higher CVRS values (p<0.05) were found in obese PCOS women compared to normal weight control and normal weight PCOS groups. Anthropometric parameters, lipid status parameters and fibrinogen (p<0.001, p<0.01) were higher in women with higher CVRS. The most significant CVRS predictors in all PCOS women were SHBG, androstenedione, follicle-stimulating hormone (FSH) and dehydroepiandrosterone sulphate (DHEAS). ICO and all NAFLD indices exhibited significant positive correlation with CVRS and a model consisting of these indices provided good diagnostic accuracy (AUC>0.8) in identifying patients with increased cardiovascular risk (CVR).
CONCLUSIONS:
Obesity is a higher risk for developing CVD than PCOS alone. Anthropometric parameters, lipid parameters, fibrinogen, NAFLD indices and ICO increase CVR in PCOS women. For the prediction of CVR in PCOS, we suggest a combination of NAFLD indices and ICO.
AuthorsIva Perovic Blagojevic, Tatjana Eror, Jovana Pelivanovic, Svetlana Jelic, Jelena Kotur-Stevuljevic, Svetlana Ignjatovic
JournalJournal of medical biochemistry (J Med Biochem) Vol. 36 Issue 3 Pg. 259-269 (Sep 2017) ISSN: 1452-8258 [Print] Serbia
PMID30568543 (Publication Type: Journal Article)

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