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Original Article   

Minerva Obstetrics and Gynecology 2022 Aug 01

DOI: 10.23736/S2724-606X.22.05124-7

Copyright © 2022 EDIZIONI MINERVA MEDICA

language: English

Clinical and laboratory features in women with different phenotypes of polycystic ovary syndrome

Aghdas SAFARI 1 , Ali MOSADEGHKHAH 2, Maryam K. KHAMENEIE 1

1 Department of Obstetrics and Gynecology, Faculty of Medicine, Aja University of Medical Sciences, Tehran, Iran; 2 Department of Endocrinology & Metabolism, Faculty of Medicine, Aja University of Medical Sciences, Tehran, Iran


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BACKGROUND: Misdiagnosis is still an obstacle in the workup of polycystic ovary syndrome. We compared patients’ characteristics among phenotypes of the syndrome and assessed the association of the characteristics with oligo-anovulation, hyperandrogenism, and polycystic ovary.
METHODS: In the infertility department of a teaching hospital, we performed a cross-sectional study. Based on the Rotterdam criteria, we included 136 patients with polycystic ovary syndrome and 46 healthy controls.
RESULTS: The most common phenotype was A (N=45;33%). Overall, A and C had larger body mass index (P=0.019 and 0.030, respectively) and waist circumference (P=0.005 and 0.003) than control. Also, A and D had higher serum anti-mullerian hormone than control (both P<0.001) or phenotype C (P<0.001 and =0.01). Phenotypes A and C had higher insulin than control (both P=0.004). The highest level of estradiol was for control and the lowest for B. The lowest high-density lipoprotein was for C; and A to C phenotypes had higher triglyceride than control (P=0.002, <0.001, and =0.041). Larger body mass was associated with hyperandrogenism [adjusted odds ratio (95% CI) =1.11(1.01, 1.23), P=0.034]; higher anti-mullerian hormone and high-density lipoprotein were related to oligo-anovulation [1.2(1.07,1.37), P=0.004; 1.1(1.00,1.13), P=0.041]. Higher insulin and lower high-density lipoprotein were associated with polycystic ovary [1.11(1.03,1.21), P=0.013; 0.9(0.82,0.97), P=0.014].
CONCLUSIONS: There are potentials in body mass index, waist circumference, serum anti-mullerian hormone, insulin, estradiol, high-density lipoprotein, and triglyceride concentration for differentiating the phenotypes of polycystic ovary syndrome and for more precise diagnosis of hyperandrogenism, oligo-anovulation, and polycystic ovary morphology.


KEY WORDS: Polycystic ovary; Syndrome; Phenotype; Anti-Mullerian; Hyperandrogenism; Oligo-anovulation

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