Literature DB >> 28412857

Prevalence of diminished ovarian reserve in Chinese women with polycystic ovary syndrome and sensitive diagnostic parameters.

Jing Jin1, Xiangyan Ruan1,2, Lin Hua3, Xuanxuan Tian1, Yanglu Li1, Lijuan Wang1, Alfred O Mueck1,2.   

Abstract

OBJECTIVES: To assess the prevalence of diminished ovarian reserve (DOR) in patients with polycystic ovary syndrome (PCOS) in China, and to search for sensitive diagnostic parameters.
METHODS: Three hundred and thirty eight PCOS women aged 20-39 years were recruited. Basic characteristics, follicle stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), testosterone and anti-Müllerian hormone (AMH) were measured. The best indices to diagnose PCOS with DOR were assessed.
RESULTS: The prevalence of DOR in our Chinese PCOS patients was 16.9%. The level of E2 and FSH and the FSH/LH ratio had a positive correlation with PCOS and DOR (OR > 1, p < 0.05) independent of age and testosterone, while AMH and baseline antral follicle count had a negative correlation (OR < 1, p < 0.05). AMH was a good parameter to diagnose PCOS with DOR, the cutoff was 2.53 ng/ml, with sensitivity 92.5%, specificity 73.7% and area under curve 0.932. AMH had a significant positive correlation with LH (r = 0.016, p < 0.05) and testosterone (r = 0.209, p < 0.01), while had significant negative correlation with age (r=-0.140, p < 0.05), FSH (r=-0.229, p < 0.01) and FSH/LH ratio (r=-0.240, p < 0.01).
CONCLUSIONS: In our study, AMH was a sensitive parameter to diagnose PCOS with DOR, but to improve the accuracy it will still need further studies.

Entities:  

Keywords:  Aging; anti-Müllerian hormone; diminished ovarian reserve; polycystic ovary syndrome; sex hormones

Mesh:

Substances:

Year:  2017        PMID: 28412857     DOI: 10.1080/09513590.2017.1310838

Source DB:  PubMed          Journal:  Gynecol Endocrinol        ISSN: 0951-3590            Impact factor:   2.260


  1 in total

1.  Endocrine and glycolipid metabolism characteristics of diminished ovarian reserve in Chinese women with polycystic ovary syndrome.

Authors:  Chaojun Wang; Wen Di; Zhuowei Gu
Journal:  J Int Med Res       Date:  2020-03       Impact factor: 1.671

  1 in total

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