Literature DB >> 21657888

Higher metabolic risk with National Institutes of Health versus Rotterdam diagnostic criteria for polycystic ovarian syndrome in Turkish women.

Inan Anaforoglu1, Ekrem Algun, Omer Incecayir, Kerem Ersoy.   

Abstract

BACKGROUND: Polycystic ovary syndrome (PCOS) is a heterogeneous disease with well-established metabolic abnormalities in women of reproductive age. There are various diagnostic criteria to define and establish PCOS. However, data conflict regarding the optimal diagnostic criteria for PCOS and its metabolic consequences. We have evaluated the clinical, endocrine, and metabolic features between main PCOS phenotypes according to different diagnostic criteria.
METHODS: In this prospective, case-control study, 175 consecutive women with PCOS, 41 ovulatory women with idiopathic hirsutism, and 109 healthy, nonhirsute, ovulatory controls were enrolled. The following diagnostic criteria were assessed: Hirsutism; ovulatory function; ovarian sonography; gonadotropin, testosterone, dehydroepiandrosterone (DHEA), 17-hydroxyprogesterone, fasting insulin, and lipid levels; oral glucose tolerance test; homeostasis model assessment for insulin resistance (HOMA-IR); body mass index (BMI); waist circumference; and the presence of metabolic syndrome.
RESULTS: Of the 175 women meeting the Rotterdam criteria for PCOS, 121 (69%) had both androgen excess and ovulatory dysfunction, thus also meeting the National Institutes of Health (NIH) criteria. The other 54 (31%) had either androgen excess or ovulatory dysfunction. Women meeting the NIH criteria had the largest mean BMI, waist circumference, and HOMA-IR score; the highest mean testosterone, DHEA, triglyceride, and fasting insulin levels; the lowest mean progesterone level; and the greatest prevalence of insulin resistance (HOMA-IR score >3) among the groups.
CONCLUSIONS: The NIH criteria identify women at high risk for insulin resistance and metabolic syndrome. The Rotterdam criteria include women who have less severe metabolic implications.

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Year:  2011        PMID: 21657888     DOI: 10.1089/met.2011.0019

Source DB:  PubMed          Journal:  Metab Syndr Relat Disord        ISSN: 1540-4196            Impact factor:   1.894


  7 in total

Review 1.  Cardiometabolic aspects of the polycystic ovary syndrome.

Authors:  Harpal S Randeva; Bee K Tan; Martin O Weickert; Konstantinos Lois; John E Nestler; Naveed Sattar; Hendrik Lehnert
Journal:  Endocr Rev       Date:  2012-07-24       Impact factor: 19.871

2.  Comparing classic and newer phenotypes in Greek PCOS women: the prevalence of metabolic syndrome and their association with insulin resistance.

Authors:  V Vaggopoulos; E Trakakis; C Chrelias; P Panagopoulos; G Basios; S Makridima; V D Sioulas; G Simeonides; G Labos; E Boutati; D Kassanos
Journal:  J Endocrinol Invest       Date:  2012-11-27       Impact factor: 4.256

3.  Functional neuroimaging of emotional processing in women with polycystic ovary syndrome: a case-control pilot study.

Authors:  Courtney A Marsh; Alison Berent-Spillson; Tiffany Love; Carol C Persad; Rodica Pop-Busui; Jon-Kar Zubieta; Yolanda R Smith
Journal:  Fertil Steril       Date:  2013-04-01       Impact factor: 7.329

Review 4.  Impact of metformin on the clinical and metabolic parameters of women with polycystic ovary syndrome: a systematic review and meta-analysis of randomised controlled trials.

Authors:  Mohammed Altigani Abdalla; Najeeb Shah; Harshal Deshmukh; Amirhossein Sahebkar; Linda Östlundh; Rami H Al-Rifai; Stephen L Atkin; Thozhukat Sathyapalan
Journal:  Ther Adv Endocrinol Metab       Date:  2022-10-07       Impact factor: 4.435

5.  Epidemiology of polycystic ovary syndrome: a cross sectional study of university students at An-Najah national university-Palestine.

Authors:  Samar Musmar; Asma Afaneh; Hafsa Mo'alla
Journal:  Reprod Biol Endocrinol       Date:  2013-05-20       Impact factor: 5.211

6.  Body Mass Index below Obesity Threshold Implies Similar Cardiovascular Risk among Various Polycystic Ovary Syndrome Phenotypes.

Authors:  Gulay Simsek Bagir; Okan S Bakiner; Emre Bozkirli; Gulhan Cavlak; Hulya Serinsoz; M Eda Ertorer
Journal:  Med Princ Pract       Date:  2015-10-29       Impact factor: 1.927

7.  Androgen levels in the fetal cord blood of children born to women with polycystic ovary syndrome: a meta-analysis.

Authors:  Changling Duan; Tianjiao Pei; Yujing Li; Qi Cao; Hanxiao Chen; Jing Fu
Journal:  Reprod Biol Endocrinol       Date:  2020-08-11       Impact factor: 5.211

  7 in total

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