4.3 Article

Hormone profiling, including anti-Mullerian hormone (AMH), for the diagnosis of polycystic ovary syndrome (PCOS) and characterization of PCOS phenotypes

Journal

GYNECOLOGICAL ENDOCRINOLOGY
Volume 35, Issue 7, Pages 595-600

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/09513590.2018.1559807

Keywords

Polycystic ovary syndrome; anti-Mullerian hormone; hyperandrogenism; phenotype of PCOS; metabolic risks

Funding

  1. Sigrid Juselius Foundation [39-3487-64]
  2. Academy of Finland [315921, 295760]
  3. Medical Research Center Oulu
  4. Academy of Finland (AKA) [315921, 315921, 295760, 295760] Funding Source: Academy of Finland (AKA)

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Objective was to evaluate serum anti-Mullerian hormone (AMH) levels in polycystic ovary syndrome (PCOS) and in its different phenotypes in relation to clinical, endocrine and metabolic parameters using a new automated VIDAS((R)) method and to compare it with the Gen II method. Study design was multi-center study including 319 PCOS women and 109 healthy controls. Serum AMH levels measured using VIDAS((R)) were significantly higher in PCOS women than controls (p<.001), and they correlated with those measured using the AMH Gen II method. An AMH cutoff value of 42.1pmol/L distinguished PCOS women from controls with 67% sensitivity and 83% specificity. The PCOS women with three Rotterdam criteria or hyperandrogenism displayed significantly higher AMH levels compared with those with two Rotterdam criteria or normoandrogenism. In PCOS, AMH levels correlated positively with luteinizing hormone (LH), androgen and sex hormone-binding globulin (SHBG) levels and negatively with BMI, abdominal obesity, follicle-stimulating hormone (FSH), fasting glucose and insulin, and insulin resistance. In conclusion, AMH evaluated using the VIDAS((R)) method distinguished PCOS patients from healthy controls relatively well, especially in those with more severe phenotypes. Further studies are needed to establish whether AMH measurements can distinguish PCOS patients with different metabolic risk factors.

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