PHENOTYPE-ORIENTED PREDICTION OF EMERGING POLYCYSTIC OVARY SYNDROME USING HORMONAL, METABOLIC AND OVARIAN STROMAL MARKERS

Abstract

Abstract. This study proposes a phenotype-oriented approach to predicting emerging polycystic ovary syndrome in adolescent girls based on the combined assessment of hormonal, metabolic, and ovarian stromal markers. The model integrates anti-Müllerian hormone, HOMA-IR, LH/FSH ratio, vitamin D status, ovarian stromal index, menstrual pattern, body mass index, and family history. Significant correlations between AMH, insulin resistance, gonadotropic imbalance, and vitamin D deficiency confirmed the interdependence of ovarian and metabolic mechanisms. The ovarian stromal index was also associated with the integral PCOS index, supporting the relationship between structural ovarian remodeling and biochemical dysfunction.