- Hitit Medical Journal
- Vol: 5 Issue: 1
- Comparison Of Biochemical Markers and Insulin Resistance of Polycystic Ovary Syndrome Patients Diagn...
Comparison Of Biochemical Markers and Insulin Resistance of Polycystic Ovary Syndrome Patients Diagnosed with the Criteria of Rotterdam, Androgen Excess Society and National Institutes of Health
Authors : Pınar Kirici, Seval Müzeyyen Ecin, Nihal Mavral, Sevil Çiçek, Ebru Celik
Pages : 25-30
Doi:10.52827/hititmedj.1219691
View : 18 | Download : 9
Publication Date : 2023-02-20
Article Type : Research
Abstract :Objective: There are different criteria to diagnose polycystic ovary syndrome (PCOS) such as Rotterdam Consensus, Androgen Excess Society (AES), and National Institutes of Health (NIH). We aimed to investigate the biochemical and insulin resistance-related markers of PCOS patients according to different diagnostic criteria. Material and methods: 1299 patients admitted to our clinic retrospectively analyzed. Following the inclusion and exclusion criteria, 200 patients with Rotterdam (Group 1), 182 patients with AES (Group 2), and 180 patients with NIH (Group 3) criteria were included in the study. Results: Waist/hip ratio among all groups (p1 = 0.002; p2 = 0.0001; p3 = 0.0001), LH/FSH ratio between Group 1 and 3 (p2=0.017), AST between Group 2 and 3 (p3 =0.012), DHEA-S and modified Ferriman–Gallwey score between Group 1 and 2 (p1 = 0.041; p1 = 0.013, respectively) and Group 1 and 3 (p2= 0.003; p2 = 0.04, respectively) were significantly different. A significant difference was detected between Group 1 and 3 in body mass index ≥ 25 (kg/m2) (p = 0.006). A significant difference was detected among all groups in waist circumference ≥ 88 cm (p1 = 0.0001, p2 = 0.0012, p3 = 0.004). Conclusion: The rate of metabolic syndrome was found to be higher in patients diagnosed with Rotterdam criteria, the rate of insulin resistance with NIH criteria, and the rate of dyslipidemia with AES criteria. However, these differences were not statistically significant.Keywords : Polikistik over sendromu, Metabolik sendrom, dislipidemi, Rotterdam, AES, NIH, polycystic ovary syndrome, metabolic syndrome, dyslipidemia