Anti-Mullerian Hormone (AMH) Variability in Cases of Polycystic Ovary Syndrome (PCOS) Phenotypes | ||||
| Benha Journal of Applied Sciences | ||||
| Volume 10, Issue 1, January 2025, Page 85-90 PDF (234.24 K) | ||||
| Document Type: Original Research Papers | ||||
| DOI: 10.21608/bjas.2025.361960.1595 | ||||
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| Authors | ||||
Asmaa Abdul Ghany Khaleel  ; Amr Ali Sharaf El-Din; Mohammed Abdel Salam Mohammed; Labiba Kasem El Sayed
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| Obstetrics and Gynecology Department, Faculty of Medicine, Benha University, Benha, Egypt | ||||
| Abstract | ||||
| Background: Polycystic ovarian syndrome (PCOS) affects 8–13% of women and wreaks havoc on their hormones, metabolism, and mental wellbeing. The major goal of this research was to determine if anti-mullerian hormone (AMH) measurements in blood may be used to diagnose polycystic ovary syndrome (PCOS) and to predict its prognosis. Methods: An obstetrician-gynecologist at Benha University Hospital and one hundred of her patients took part in the investigation. The patients were divided into two equal groups. Half of the women in Group I, which was called the PCOS group, were found to have PCOS according to the Rotterdam criteria. In Group II, fifty women were used as controls. Results: Impressively, the AMH was able to predict PCOS with an 88% sensitivity and a 72% specificity. Conclusions: Low AMH production was associated with polycystic ovary shape and PCOS ovulatory phenotypes, as shown in the study. The data provide support for the concept that AMH is crucial to the recognized mechanism of anovulation in polycystic ovary syndrome (PCOS). Our results suggest that measuring serum AMH might help in PCOS diagnosis and prognosis. | ||||
| Keywords | ||||
| Polycystic ovary syndrome; phenotypes; and anti-mullerian hormone | ||||
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