Differentiation between polycystic ovary syndrome and polycystic ovarian morphology by means of an anti-Müllerian hormone cutoff value
نویسندگان
چکیده
BACKGROUND/AIMS Although increased serum anti-Müllerian hormone (AMH) level has been suggested to be a surrogate marker of polycystic ovarian morphology (PCOM), its association with polycystic ovary syndrome (PCOS) is controversial, and its diagnostic value has not been determined. We aimed to observe the relationship between the AMH level and PCOS phenotypes and to determine the optimal cutoff value of AMH for the diagnosis of PCOS in young Korean women. METHODS We recruited 207 women with PCOS (120 with PCOM and 87 without PCOM) and 220 regular cycling women with normoandrogenemia (100 with PCOM and 120 without PCOM). Subjects underwent testing at a single outpatient visit. Serum AMH level was measured. RESULTS Women with PCOS had higher serum AMH levels than did regular cycling women with normoandrogenemia (p < 0.05). Women with PCOM had higher serum AMH levels than women without PCOM, regardless of PCOS status (p < 0.05). The optimal AMH cutoff value for the diagnosis of PCOS was 10.0 ng/mL (71% sensitivity, 93% specificity). Serum AMH was an independent determinant of total testosterone after adjustment for age, body mass index, and the number of menses/year (β = 0.31, p < 0.01). An association between AMH and hyperandrogenism was only observed in women with PCOS, and it was independent of the presence of PCOM. CONCLUSION The serum AMH level can be useful for the diagnosis of PCOS at any age less than 40 years, and the optimal cutoff value for the diagnosis of PCOS identified in this study of young Korean women was 10.0 ng/mL.
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Relationship between Serum Levels of Anti-Mullerian Hormone, Adiponectin and Oxidative Stress Markers in Patients with Polycystic Ovary Syndrome
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Dear Editor: The recent report on serum anti-Müllerian hormone (AMH) levels and phenotypes of polycystic ovary syndrome is very interesting [1]. Hwang et al. [1] concluded that “high serum AMH levels cannot predict the phenotype of polycystic ovary syndrome (PCOS) and metabolic disturbances in PCOS patients in the non-obese group”. Notably, the results from this work are totally different from ...
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