Endocrine Abstracts

Introduction: Polycystic ovary syndrome (PCOS) contributes to endocrine and metabolic complications. Cardiovascular disease (CVD) is a leading cause of mortality and morbidity worldwide. Identification of the subpopulations with a higher risk of developing CVD and lipid metabolic disorders is crucial, particularly in PCOS patients.

Aim: The aim of this study was to investigate the usefulness of new anthropometric indices such as BAI, VAI, LAP, BRI, ABSI and new atherogenic indices such as TyG index, TyG-BMI index, TyG-WC index in evaluation of lipid parameters in patients with PCOS.

Material and methods: To the study was enrolled of 49 woman in aged 18-39. Criteria for selecting the subjects were as follows: diagnosed PCOS based on the Rotterdam criteria from 2003. Blood samples were taken from patients in the morning, before breakfast. Biochemical parameters (total cholesterol, HDL, LDL, TG) were determined and used for the calculation atherogenic indices. Anthropometric parameters were measured with the use of standard methods in the morning. These measurements included body weight, height, waist circumference, and hip circumference. After this step anthropometric indices such as BAI (Body Adiposity Index), VAI (Visceral Adiposity Index), LAP (Lipid Accumulation Product), BRI (Body Roundness Index), ABSI (A Body Shape Index), AIP (Atherogenic risk of plasma) were calculated. The study conformed to the Declaration of Helsinki and was reviewed by the local bioethics committee

Results: There was observed significant positive relationship between BAI, VAI, LAP, BRI, ABSI, TyG index, TyG-BMI index, TyG-WC index and LDL cholesterol and triglycerides (P<0.005). Also, there was observed strong negatively correlation between HDL cholesterol and analyzed parameters/indices (P=0.000) excluding ABSI (P>0.05).

Conclusion: Analyzed new anthropometric indices and new atherogenic indices have demonstrated significant relationship wtl lipid profile in women with PCOS. These indices may be useful tool in assessing of metabolic disorders in women with PCOS.