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Year : 2021  |  Volume : 24  |  Issue : 1  |  Page : 15-21

Correlation of phenotypes of polycystic ovarian syndrome with anti-Müllerian hormone levels

Department of Obstetrics and Gynaecology, Mahatma Gandhi Medical College and Research Institute, Sri Balaji Vidyapeeth, Puducherry, India

Correspondence Address:
Dr. R Santhiya
Department of Obstetrics and Gynaecology, Mahatma Gandhi Medical College and Research Institute, Sri Balaji Vidiyapeeth, Puducherry - 607 402
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DOI: 10.4103/smj.smj_50_20

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Background: Polycystic ovarian syndrome (PCOS) is a frequently encountered endocrine disorders in women of the reproductive age. Various studies conclude there is no uniform correlation between the phenotypes of the PCOS and serum anti-Mullerian Hormone (AMH) levels. Aim and Objective: The objective of the study to estimate the association between different phenotypes of PCOS and the serum AMH level. Materials and Methods: This was a cross-sectional analytical study which included sixty subjects with PCOS according to Rotterdam's criteria. After procuring the detailed history, clinically examination and ultrasound scan subjects were classified into one of the phenotypes of PCOS. Auto-analyzer was used to measure serum AMH levels and was correlated with the various phenotypes of PCOS. Results: The study group categorized 28 patients under phenotype D, which was a predominant form. Serum AMH mean was 6.1 (±3.2) ng/ml. The mean serum AMH levels for phenotype A was 7.5 ± 3.0 ng/ml which was higher than the other phenotypes. Phenotype A had high mean body mass index which was significant ( 29.1 ±6.6) kg/m2 (P = 0.046). Phenotype B had significantly higher Hirsutism score 19.8 (±1.7). Phenotype A had significantly higher mean follicular count (19.7 ± 5.1). The difference of mean or median among the phenotypes was compared using Kruskal–Wallis test or ANOVA. P < 0.05 was considered as statistically significant. Conclusion: A positive correlation was seen between the serum AMH levels and the phenotypes of the PCOS. Thus, AMH levels can be used as an adjunct tool in the diagnosis and monitoring of PCOS.

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