Assessing the clinical diagnostic value of anti-Müllerian hormone in polycystic ovarian syndrome and its correlation with clinical and metabolism indicators

• Main Authors: Li Wang (Author), Mengjun Luo (Author), Xiaoyu Yu (Author), Rong Li (Author), Fei Ye (Author), Dongsheng Xiong (Author), Yan Gong (Author), Mingyue Zheng (Author), Weixin Liu (Author), Jiuzhi Zeng (Author)
• Format: Book
• Published: BMC, 2024-04-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 10.1186/s13048-024-01405-4; 1757-2215
• Keywords: PCOS; AMH; Clinical diagnosis; Metabolism; Gynecology and obstetrics; RG1-991
• Source: Journal of Ovarian Research, Vol 17, Iss 1, Pp 1-10 (2024)

Abstract Background This study investigated the association between Anti-Müllerian Hormone (AMH) and relevant metabolic parameters and assessed its predictive value in the clinical diagnosis of polycystic ovarian syndrome (PCOS). Methods A total of 421 women aged 20-37 years were allocated to the PCOS (n = 168) and control (n = 253) groups, and their metabolic and hormonal parameters were compared. Spearman correlation analysis was conducted to investigate associations, binary logistic regression was used to determine PCOS risk factors, and receiver operating characteristic (ROC) curves were generated to evaluate the predictive value of AMH in diagnosing PCOS. Results The PCOS group demonstrated significantly higher blood lipid, luteinizing hormone (LH), and AMH levels than the control group. Glucose and lipid metabolism and hormonal disorders in the PCOS group were more significant than in the control group among individuals with and without obesity. LH, TSTO, and AMH were identified as independent risk factors for PCOS. AMH along with LH, and antral follicle count demonstrated a high predictive value for diagnosing PCOS. Conclusion AMH exhibited robust diagnostic use for identifying PCOS and could be considered a marker for screening PCOS to improve PCOS diagnostic accuracy. Attention should be paid to the effect of glucose and lipid metabolism on the hormonal and related parameters of PCOS populations.