PMON247 Prevalence of Polycystic Ovary Syndrome in Eastern Siberia: a Cross-Sectional Study.
Authors: Suturina Larisa , Lizneva Daria , Stanczyk Frank , Legro Richard Scott , Yildiz Bulent , Atalyan Alina , Belskikh Aleksey , Sholokhov Leonid , Rashidova Maria , Rashidova Maria , Lazareva Liudmila , Danusevich Irina , Nadeliaeva Iana , Belenkaia Lilia , Darzhaev Zorikto , Sharifulin Eldar , Igumnov Ilia , Natyaganova Larisa , Grebenkina Liudmila , Vilson Natalia , Markova-Tyumentseva Daria , Egorova Irina , Trofimova Tatiana , Khomyakova Anastasia , Kolesnikova Liubov , Azziz Ricardo 
Published: November 2022

Abstract

Background
There is a lack of data on the prevalence of PCOS and its phenotype in many geographic regions. Siberia is a unique region of the Russian Federation with a multi-raced population living in similar geographic and socio-economic conditions for centuries. Therefore, we considered this population optimal for epidemiological research.

Objectives
To determine the prevalence of PCOS and the PCOS phenotypes in unselected women in the Eastern Siberia region.
Population: We performed the institution-based, cross-sectional Eastern Siberia PCOS Epidemiology & Phenotype (ESPEP) Study during 2016-2019 (СlinicalTrials.gov ID: NCT05194384) and recruited 1148 premenopausal women aged 34.3±6.3 yrs., of which 63.2% were Caucasians, 27.6% Asians, and 9.2% Mixed-race. All subjects provided written informed consent. Exclusion criteria were: current pregnancy or lactation, history of hysterectomy, bilateral oophorectomy, endometrial ablation, uterine artery embolization; and current or previous hormonal medications or insulin-sensitizers intake. The study was approved by the Institutional Ethics Committee of the Scientific Center for Family Health a Human Reproduction (Irkutsk, Russian Federation). Methods include questionnaires, anthropometry, vital signs, gynecological examination, mF-G scoring, pelvic U/S, and blood sampling. For PCOS diagnosis we used the Rotterdam (2003) criteria. Serum samples were analyzed for total testosterone (TT) using LC-MS/MS. DHEAS, SHBG, prolactin, TSH, and 17-OHP were assessed by ELISA. Free Androgen Index (FAI) was calculated (i.e. [TT/SHBG]×100). The upper normal limit (UNL) for the mF-G score was 4, as determined using a 2k-cluster analysis in the total study population. The upper normal limits (UNL) for androgens were determined from the 98th percentiles for these parameters in 143 women, identified as the "super-controls". Pearson Chi-square and Fisher exact one-tailed tests were used to comparing proportions and categorical variables. A p-value of 0.05 was considered statistically significant.

Results
The total prevalence of PCOS in premenopausal women from Eastern Siberia was estimated as 13.3%, with the following distribution of PCOS phenotypes: 29.1% (A), 9.9% (B), 26.2%(C), and 34.8% (D). There was no significant difference in PCOS prevalence by race: 13.4% in Caucasians, 11.0% in Asians, and 19.8% in Mixed race women (pχ2=0.07). Classic PCOS phenotype A was found in a comparable number of PCOS women (28% in Caucasians, 31.2% in Asians, and 30% in Mixed race); whereas Asian PCOS patients demonstrated the highest proportion of phenotype B (25% vs 5.6% in Caucasians and 5% in mixed-race). The number of hirsute women (with mF-G score &gt;4) was dependent on race and reached 22%, 29%, and 36% among Caucasians, Asians, and mixed-race women, respectively (p χ2=0.001).

Conclusions
The results of the ESPEP study, conducted in a multi-race unselected population of premenopausal women from Eastern Siberia demonstrated a 13.3% total prevalence of PCOS and race-dependent difference in the clinical manifestation of PCOS.
Presentation: Monday, June 13, 2022 12:30 p.m. - 2:30 p.m.