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.

Background. Women with polycystic ovary syndrome (PCOS) could develop subclinical atherosclerosis during life. Purpose. To analyze cardiovascular risk (CVR) factors and their relation to clinical markers of cardiovascular disease (CVD) in respect to their age. Material and Methods. One hundred women with PCOS (26.32 ± 5.26 years, BMI: 24.98 ± 6.38 kg/m2) were compared to 50 respective controls. In all subjects, total cholesterol (TC), HDL-C, LDL-C, triglycerides, TC/HDL-C and TG/HDL-C ratios, glucose, insulin and HOMA index, waist-to-hip ratio (WHR), systolic and diastolic blood pressure (SBP and DBP, resp.), and carotid intima-media thickness (CIMT) were analyzed in respect to their age and level of androgens. Results. PCOS over 30 years had higher WHR (P = 0.008), SBP (P < 0.001), DBP (P < 0.001), TC (P = 0.028), HDL-C (P = 0.028), LDL-C (P = 0.045), triglycerides (P < 0.001), TC/HDL-C (P < 0.001), and triglycerides/HDL-C (P < 0.001) and had more prevalent hypertension and pronounced CIMT on common carotid arteries even after adjustment for BMI (P = 0.005 and 0.036, resp.). TC/HDL-C and TG/HDL-C were higher in PCOS with the highest quintile of FAI in comparison to those with lower FAI (P = 0.045 and 0.034, resp.). Conclusions. PCOS women older than 30 years irrespective of BMI have the potential for early atherosclerosis mirrored through the elevated lipids/lipid ratios and through changes in blood pressure.

oBJectIVe: there is a need for a simple and accurate method for the assessment of cardiovascular risk in polycystic ovary syndrome (Pcos). Lipid accumulation product (LAP) is based on the assessment of waist circumference and serum triglycerides that yield an estimation of lipid overaccumulation. we aimed to determine whether LAP is associated with metabolic syndrome (Mets) in caucasian women with Pcos. desIGn: we studied 222 women with Pcos who were diagnosed using the Rotterdam criteria. In all the subjects and controls, LAP was determined and the Mets was assessed using three different international criteria, nceP-AtP III, Idf, and JIs. Roc curve and logistic regression analyses were performed to determine and analyze associations with the Mets. ResuLts: In the study population the prevalence of Mets was 16.2-19.4%. the cut-off value of 25.9 determined that LAP has the strongest association with Mets whichever international criteria are used, followed by HdL (nceP-AtP III and JIs) and glucose (Idf). concLusIons: LAP is used as an independent clinical indicator for Mets in our Pcos women of caucasian origin. the high diagnostic accuracy of LAP is superseding the need for the use of multiple clinical indicators for the assessment of lipid accumulation as a prerequisite for diagnosis of metabolic and cardiovascular diseases in Pcos women.

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Summary Background: Polycystic ovary syndrome (PCOS) is a cardiometabolic disorder whose features include dyslipidemia, increased oxidative stress (OS, oxy) and chronic inflammation. The aim of this study was to investigate the ability of a summary score for dyslipidemia, OS and inflammation (the DOI score) to discriminate PCOS patients from healthy individuals and to evaluate the effect of obesity on individual scores and the DOI score in patients. Methods: Lipid status parameters, OS status parameters (advanced oxidation protein products; total oxidative status; prooxidant-antioxidant balance; malondialdehyde; total protein sulphydryl groups and paraoxonase 1 activity) and CRP were measured in 114 patients and 50 controls using standardised assays. The DOI score was calculated as the sum of dyslipidemia, oxy and inflammation scores, determined as Z-score values for every subject in relation to the controls. Results: PCOS patients had significantly higher oxy-score compared to controls (P<0.001). In addition, the DOI score was significantly higher in PCOS patients (P<0.001) as the dyslipidemia (P<0.05) and inflammatory scores (P<0.001) were greater. According to ROC analysis, the oxy-score showed better diagnostic accuracy in discriminating PCOS patients compared to the DOI score (AUC>0.9, P<0.01). Furthermore, obesity affected the risk scores in patients, especially the DOI score (significantly higher DOI scores in such patients, P<0.001). Conclusion: PCOS patients had greater dyslipidemia, chronic inflammation and OS compared to controls and could be segregated using all four scores. Our data suggest that weight gain could be the common factor responsible for induction and propagation of dyslipidemia, OS and inflammation in PCOS patients.