Abstract:
OBJECTIVE:There are limited data on cardiometabolic risk factors and the prevalence of metabolic syndrome (MetS) across the different PCOS phenotypes in Caucasian population. Lipid accumulation product (LAP) is a clinical surrogate marker that could be used for evaluation of MetS in clinical practice. The aim of the study was to analyze metabolic characteristics and the ability of LAP to predict MetS in different PCOS phenotypes. DESIGN:Cross-sectional clinical study analyzing 365 women with PCOS divided into four phenotypes according to the ESHRE/ASRM criteria, and 125 healthy BMI-matched controls. METHODS:In all subjects, LAP was determined and MetS was diagnosed according to the National Cholesterol Education Program/Adult Treatment Panel III (NCEP-ATP III), the International Diabetes Federation (IDF) and the Joint Interim Statement (JIS) criteria. Logistic regression and ROC curve analyses were used to determine predictors of MetS in each PCOS phenotype. All analyses were performed with age and BMI adjustment. RESULTS:All PCOS phenotypes in comparison to controls had higher prevalence of MetS assessed by NCEP-ATP III criteria, and only classic phenotypes when IDF and JIS criteria were used. All phenotypes had the same prevalence of MetS irrespective of used definition. LAP and exhibited the highest diagnostic accuracy and was an independent predictor of MetS in all phenotypes. CONCLUSION:LAP is an independent and accurate clinical determinant of MetS in all PCOS phenotypes in our Caucasian population. All PCOS phenotypes, including non-classic ones, are metabolically challenged and with cardiovascular risk, particularly phenotype B.
journal_name
Eur J Endocrinoljournal_title
European journal of endocrinologyauthors
Božić-Antić I,Ilić D,Bjekić-Macut J,Bogavac T,Vojnović-Milutinović D,Kastratovic-Kotlica B,Milić N,Stanojlović O,Andrić Z,Macut Ddoi
10.1530/EJE-16-0775subject
Has Abstractpub_date
2016-12-01 00:00:00pages
551-560issue
6eissn
0804-4643issn
1479-683Xpii
EJE-16-0775journal_volume
175pub_type
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