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Clinical characteristics, metabolic features, and phenotype of Chinese women with polycystic ovary syndrome: a large-scale case–control study

  • General Gynecology
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Abstract

Aim

The Rotterdam criteria extend the phenotypic spectrum of polycystic ovary syndrome (PCOS). The study was to investigate the clinical and biochemical features of a large-scale clinic based on the samples of Chinese women and to evaluate the value of Rotterdam criteria on Chinese PCOS women.

Methods

One thousand four hundred and four Chinese women were involved in our study, among whom, 719 cases were diagnosed as PCOS based on 2003 Rotterdam criteria, and 685 women without history of hyperandrogenism and with regular menstrual cycles were recruited as control. Clinical features, ultrasonographic (ovarian follicle number and volume), hormonal and metabolic parameters were commenced as outcome measures.

Results

Among 719 PCOS women, 6.1 % had hirsutism, 13.3 % had acne, 21.1 % had hyperandrogenism, 94.2 % had polycystic ovaries on ultrasonographic examination, and 88.6 % had menstrual abnormality. About one-third of the total PCOS patients were insulin resistant. The most frequent PCOS phenotype is the non-hyperandrogenic phenotype (O + P). Total testosterone, LH/FSH ratio, body mass index (BMI), and Ferriman and Gallwey scores (F–G) were all significantly higher in PCOS groups compared with non-PCOS group. Women with PCOS and obesity had higher serum testosterone, fasting insulin, longer menstrual cycle and larger ovarian follicle number, and LH/FSH ratio, estradiol or ovarian volume were similar between obese and normal BMI women. The LH level was statistically lower in the obese PCOS group.

Conclusions

Rotterdam criteria are generally applicable to Chinese population. Chinese women with PCOS showed lower rates of hyperandrogenemia, hirsutism, obesity, and insulin resistance. Obesity aggravates menstrual irregularity and increases the follicle number and serum total testosterone level.

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References

  1. Broekmans FJ, Knauff EA, Valkenburg O et al (2006) PCOS according to the Rotterdam consensus criteria: change in prevalence among WHO-II anovulation and association with metabolic factors. BJOG 113:1210–1217

    Article  PubMed  CAS  Google Scholar 

  2. Hudecova M, Holte J, Olovsson M, Larsson A, Berne C, Poromaa IS (2011) Diabetes and impaired glucose tolerance in patients with polycystic ovary syndrome—a long term follow-up. Hum Reprod 26:1462–1468

    Article  PubMed  CAS  Google Scholar 

  3. Bhathena RK (2011) Insulin resistance and the long-term consequences of polycystic ovary syndrome. J Obstet Gynaecol 31:105–110

    Article  PubMed  CAS  Google Scholar 

  4. Hacihanefioglu B (2000) Polycystic ovary syndrome nomenclature: chaos? Fertil Steril 73:1261–1262

    Article  PubMed  CAS  Google Scholar 

  5. Zhang HY, Zhu FF, Xiong J, Shi XB, Fu SX (2009) Characteristics of different phenotypes of polycystic ovary syndrome based on the rotterdam criteria in a large-scale Chinese population. BJOG 116:1633–1639

    Article  PubMed  CAS  Google Scholar 

  6. Zawadski JK, Dunaif A (1992) Diagnostic criteria for polycystic ovary syndrome: towards a rational approach. In: Dunaif A, Givens JR, Haseltine F (eds) Polycystic ovary syndrome. Blackwell Scientific, Boston, pp 377–384

    Google Scholar 

  7. Rotterdam ESHRE/ASRM-Sponsored PCOS Consensus Workshop Group (2004) Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome. Fertil Steril 81:19–25

    Google Scholar 

  8. Marcondes JA, Barcellos CR, Rocha MP (2011) Difficulties and pitfalls in the diagnosis of polycystic ovary syndrome. Arq Bras Endocrinol Metabol 55(1):6–15

    Article  PubMed  Google Scholar 

  9. Azziz R (2005) Diagnostic criteria for polycystic ovarian syndrome: a reappraisal. Fertil Steril 83:1343–1346

    Article  PubMed  Google Scholar 

  10. Chen X, Yang D, Li L, Feng S, Wang L (2006) Abnormal glucose tolerance in Chinese women with polycystic ovary syndrome. Hum Reprod 21:2027–2032

    Article  PubMed  CAS  Google Scholar 

  11. Legro RS, Kunselman AR, Dodson WC, Dunaif A (1999) Prevalence and predictors of risk for type 2 diabetes mellitus and impaired glucose tolerance in polycystic ovary syndrome: a prospective, controlled study in 254 affected women. J Clin Endocrinol Metab 84:165–169

    Article  PubMed  CAS  Google Scholar 

  12. The Asia-Pacific Perspective (2000) Redefining obesity and its treatment. International Diabetes Institute, Melbourne

    Google Scholar 

  13. Ferriman D, Gallwey JD (1961) Clinical assessment of body hair growth in women. J Clin Endocrinol Metab 21:1440–1447

    Article  PubMed  CAS  Google Scholar 

  14. Mather KJ, Hunt AE, Sterinberg HO et al (2001) Repeatability characteristics of simple indices of insulin resistance implications for research applications. J Clin Endocrinol Metab 86(11):5457–5464

    Article  PubMed  CAS  Google Scholar 

  15. Liou TH, Yang JH, Hsieh CH, Lee CY, Hsu CS, Hsu MI (2008) Clinical and biochemical presentations of polycystic ovary syndrome among obese and nonobese women. Fertil Steril 1:1–6

    Google Scholar 

  16. Lin JF, Li X, Zhu MW (2006) Exploration of the classification of polycystic ovarian syndrome. Zhonghua Fu Chan Ke Za Zhi 41:684–688

    PubMed  Google Scholar 

  17. Lam PM, Tam WH, Cheung LP (2008) Higher metabolic risk in Chinese women fulfilling the NIH diagnostic criteria for polycystic ovarian syndrome. Fertil Steril (Epub 11 Oct 2008)

  18. Diamanti-Kandarakis E, Panidis D (2007) Unravelling the phenotypic map of polycystic ovary syndrome (PCOS): a prospective study of 634 women with PCOS. Clin Endocrinol 67:735–742

    Article  CAS  Google Scholar 

  19. Lookingbill DP, Azziz R (1997) Measurement of peripheral androgen action. In: Azziz R, Nestler JE, Dewailly D (eds) Androgen excess disorders in women. Lippincott-Raven, Philadelphia, pp 657–664

    Google Scholar 

  20. Li L, Yang D, Chen X, Chen Y, Feng S, Wang L (2007) Clinical and metabolic features of polycystic ovary syndrome. Int J Gynaecol Obstet 97:129–134

    Google Scholar 

  21. Diamanti-Kandarakis E, Kouli CR, Bergiele AT et al (1999) A survey of the polycystic ovary syndrome in the Greek island of Lesbos: hormonal and metabolic profile. J Clin Endocrinol Metab 84:4006–4011

    Article  PubMed  CAS  Google Scholar 

  22. Asuncion M, Calvo RM, San Millan JL, Sancho J, Avila S, Escobar-Morreale HF (2000) A prospective study of the prevalence of the polycystic ovary syndrome in unselected Caucasian women from Spain. J Clin Endocrinol Metab 85:2434–2438

    Article  PubMed  CAS  Google Scholar 

  23. Knochenhauer ES, Key TJ, Kahsar-Miller M, Waggoner W, Boots LR, Azziz R (1998) Prevalence of the polycystic ovary syndrome in unselected black and white women of the southeastern United States: a prospective study. J Clin Endocrinol Metab 83:3078–3082

    Article  PubMed  CAS  Google Scholar 

  24. Jonard S, Robert Y, Dewailly D (2005) Revisiting the ovarian volume as a diagnostic criterion for polycystic ovaries. Hum Reprod 20:2893–2898

    Article  PubMed  Google Scholar 

  25. Hart R, Hickey M, Franks S (2004) Definitions, prevalence and symptoms of polycystic ovaries and polycystic ovary syndrome. Best Pract Res Clin Obstet Gynaecol 18:671–683

    Article  PubMed  Google Scholar 

  26. Chan CC, Ng EH, Tang OS, Lee CP, Ho PC (2006) The prevalence of polycystic ovaries in Chinese women with a history of gestational diabetes mellitus. Gynecol Endocrinol 22:516–520

    Article  PubMed  Google Scholar 

  27. Hsu MI, Liou TH, Chou SY, Chang CY, Hsu CS (2007) Diagnostic criteria for polycystic ovary syndrome in Taiwanese Chinese women: comparison between Rotterdam 2003 and NIH 1990. Fertil Steril 88:727–729

    Article  PubMed  Google Scholar 

  28. Nestler JE, Clore JN, Blackard WG (1989) The central role of obesity (hyperinsulinemia) in the pathogenesis of the polycystic ovary syndrome. Am J Obstet Gynecol 161:1095–1097

    PubMed  CAS  Google Scholar 

  29. Dunaif A, Segal KR, Futterweit W, Dobrjansky A (1989) Profound peripheral insulin resistance, independent of obesity, in polycystic ovary syndrome. Diabetes 38:1165–1174

    Article  PubMed  CAS  Google Scholar 

  30. Zhu YG, Su YH, Zhang YW (1999) Polycystic ovary syndrome. In: Cao ZY (ed) Chinese obstetrics and gynecology, 1st edn. Republic Health Publishing Company, Beijing, pp 2176–2216

    Google Scholar 

  31. Legro RS, Castracane VD, Kauffman RP (2004) Detecting insulin resistance in polycystic ovary syndrome: purposes and pitfalls. Obstet Gynecol Surv 59:141–154

    Article  PubMed  Google Scholar 

  32. Toprak S, Yonem A, Cakir B et al (2001) Insulin resistance in nonobese patients with polycystic ovary syndrome. Horm Res 55:65–70

    Article  PubMed  CAS  Google Scholar 

  33. Yildiz BO, Gedik O (2004) Assessment of glucose intolerance and insulin sensitivity in polycystic ovarian syndrome. Reprod Biomed 8:649–656

    Article  CAS  Google Scholar 

  34. Yen SS, Vela P, Rankin J (1970) Inappropriate secretion of follicle-stimulating hormone and luteinizing hormone in polycystic ovarian disease. J Clin Endocrinol Metab 30:435–442

    Article  PubMed  CAS  Google Scholar 

  35. Holte J, Bergh T, Gennarelli G, Wide L (1994) The independent effects of polycystic ovary syndrome and obesity on serum concentrations of gonadotrophins and sex steroids in premenopausal women. Clin Endocrinol 41:473–481

    Article  CAS  Google Scholar 

  36. Taylor AE, McCourt B, Martin KA et al (1997) Determinants of abnormal gonadotropin secretion in clinically defined women with polycystic ovary syndrome. J Clin Endocrinol Metab 82:2248–2256

    Article  PubMed  CAS  Google Scholar 

  37. Cussons AJ, Stuckey BG, Walsh JP, Burke V, Norman RJ (2005) Polycystic ovarian syndrome: marked differences between endocrinologists and gynecologists in diagnosis and management. Clin Endocrinol 62:289–295

    Article  Google Scholar 

Download references

Acknowledgments

The authors are grateful to the staff of the Division of Obstetrics and Gynaecology at the Second Xiangya Hospital of Central South University and Tianjin Central Gynecology and Obstetrics Hospital for their kind assistance and collaboration in data collection.

Conflict of interest

We declare that we have no conflicts of interests.

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Correspondence to Hong Yuan Zhang.

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Zhang, H.Y., Guo, C.X., Zhu, F.F. et al. Clinical characteristics, metabolic features, and phenotype of Chinese women with polycystic ovary syndrome: a large-scale case–control study. Arch Gynecol Obstet 287, 525–531 (2013). https://doi.org/10.1007/s00404-012-2568-z

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  • DOI: https://doi.org/10.1007/s00404-012-2568-z

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