Abstract

Abstract: Polycystic ovary syndrome (PCOs) is one of the most common endocrine disorders in women, accounting for 8-13% of women in reproductive age. Anti-Mullerian hormone (AMH) is secreted only by the granular cells of the ovaries, starting from 25 weeks of pregnancy to menopause. AMH is involved in follicle development and the sensitivity of follicles to FSH. Serum AMH increased in the group with PCOs, but the threshold for diagnosis and prognosis is a matter of great concern.

Objectives: Identify serum AMH cutoff threshold in predicting a PCOs at Hung Vuong hospital and related factors.

Methods: A cross-sectional study of 275 infertility patients with 60 cases of had PCOs and 215 without PCOs in Hung Vuong Hospital’s Department of Infertility, which met the sample selection criteria from March 15, 2018 to August 20, 2019.

Results: (1) AMH with cutoff of 6.5ng/ml, sensitivity of 70%, specificity of 77.4% can be used to predict PCOs. (2) There is no relationship between AMH and BMI in both groups of PCOs and without PCOs. Some characteristics of PCOs: The average age of women with PCOs is 28.03 ± 2.74 lower than the group without PCOs (p=0.02). Menstrual disorders and images of polycystic ovaries are the two most common symptoms in PCOs. Androgen intensity only accounts for a few. Most women with PCOs have BMI within normal limits (60%). The rate of LH in the PCOs group was higher than that of the group without PCOs (p <0.001). Conclusion: serum AMH is valuable for diagnosis in PCOS. However more research is needed in the future.

Keywords:PCOs, cross - sectional study, cut threshold, Anti - Mullerian hormone Polycystic ovary syndrome (PCOs) is one of the most common endocrine disorders in women, accounting for 8-13% of women of reproductive age [1], PCOs can be diagnosed clinically, biochemically and by ultrasound. Following the consensus of the conference in Rotterdam, PCOs were diagnosed when there were two of three criteria: cyclic ovarian disorders, clinical and biochemical androgen increase, polycystic ovarian image on ultrasound [2].