Literature DB >> 21481088

Anthropometric, clinical and laboratory comparison of four phenotypes of polycystic ovary syndrome based on Rotterdam criteria.

Mehmet Yilmaz1, Unal Isaoglu, Ilhan Bahri Delibas, Sedat Kadanali.   

Abstract

AIM: To compare all phenotypes of polycystic ovary syndrome (PCOS) for anthropometrical, hormonal, and metabolic differences according to Rotterdam criteria. MATERIAL &
METHODS: Women with PCOS (Rotterdam definition; n = 127) and women without PCOS used as controls (n = 44). There were four phenotypes of PCOS: 56/127 (44.09%) of the patients were polycystic ovaries on ultrasound (PCO) + oligo or anovulation (O) + biochemical and/or clinical hyperandrogenism (HA), 29/127 (22.84%) were HA+O, 24/127 (18.90%) were PCO+O and 18/127 (14.17%) were HA+PCO. And 42/127 (33.07%) patients represented the new phenotypes (PCO+O and HA+PCO). Phenotypical, hormonal and metabolic parameters were compared between the groups.
RESULTS: Waist-to-hip ratio, luteinizing hormone-to-follicle stimulating hormone ratio, testosterone, androstenedione, dehydroepiandrostenedione were lower in women with PCO+O and controls than the other three phenotypes. The highest score regarding hirsutismus was found in the HA+O phenotype and the lowest score in the PCO+O phenotype. Prevalence of metabolic syndrome and degree of insulin resistance in PCO+O phenotype was closer to control subjects than the other three phenotypes.
CONCLUSIONS: Anthropometrical, hormonal, and metabolic differences suggest that PCO+O phenotype is closer to control group than the other PCOS phenotypes.
© 2011 The Authors. Journal of Obstetrics and Gynaecology Research © 2011 Japan Society of Obstetrics and Gynecology.

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Year:  2011        PMID: 21481088     DOI: 10.1111/j.1447-0756.2010.01478.x

Source DB:  PubMed          Journal:  J Obstet Gynaecol Res        ISSN: 1341-8076            Impact factor:   1.730


  19 in total

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3.  Prevalence of Polycystic Ovary Syndrome Phenotypes Using Updated Criteria for Polycystic Ovarian Morphology: An Assessment of Over 100 Consecutive Women Self-reporting Features of Polycystic Ovary Syndrome.

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4.  Referral bias in defining the phenotype and prevalence of obesity in polycystic ovary syndrome.

Authors:  Uche Ezeh; Bulent O Yildiz; Ricardo Azziz
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5.  The Effect of Free Androgen Index on the Quality of Life of Women With Polycystic Ovary Syndrome: A Cross-Sectional Study.

Authors:  Mohammed Altigani Abdalla; Harshal Deshmukh; Irfaan Mohammed; Stephen Atkin; Marie Reid; Thozhukat Sathyapalan
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7.  Association between genetically predicted polycystic ovary syndrome and ovarian cancer: a Mendelian randomization study.

Authors:  Holly R Harris; Kara L Cushing-Haugen; Penelope M Webb; Christina M Nagle; Susan J Jordan; Harvey A Risch; Mary Anne Rossing; Jennifer A Doherty; Marc T Goodman; Francesmary Modugno; Roberta B Ness; Kirsten B Moysich; Susanne K Kjær; Estrid Høgdall; Allan Jensen; Joellen M Schildkraut; Andrew Berchuck; Daniel W Cramer; Elisa V Bandera; Lorna Rodriguez; Nicolas Wentzensen; Joanne Kotsopoulos; Steven A Narod; John R McLaughlin; Hoda Anton-Culver; Argyrios Ziogas; Celeste L Pearce; Anna H Wu; Sara Lindström; Kathryn L Terry
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8.  A case-control observational study of insulin resistance and metabolic syndrome among the four phenotypes of polycystic ovary syndrome based on Rotterdam criteria.

Authors:  Avin S Jamil; Shahla K Alalaf; Namir G Al-Tawil; Talha Al-Shawaf
Journal:  Reprod Health       Date:  2015-01-16       Impact factor: 3.223

9.  Prevalence of metabolic syndrome is higher among non-obese PCOS women with hyperandrogenism and menstrual irregularity in Korea.

Authors:  Min-Ju Kim; Nam-Kyoo Lim; Young-Min Choi; Jin-Ju Kim; Kyu-Ri Hwang; Soo-Jin Chae; Chan-Woo Park; Doo-Seok Choi; Byung-Moon Kang; Byung-Seok Lee; Tak Kim; Hyun-Young Park
Journal:  PLoS One       Date:  2014-06-05       Impact factor: 3.240

10.  Anthropometric, clinical, and metabolic comparisons of the four Rotterdam PCOS phenotypes: A prospective study of PCOS women.

Authors:  Sujata Kar
Journal:  J Hum Reprod Sci       Date:  2013-07
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