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Published in: The Journal of Obstetrics and Gynecology of India 1/2016

01-10-2016 | Original Article

Endocrine and Metabolic Profile of Different Phenotypes of Polycystic Ovarian Syndrome

Authors: Saxena Pikee, Singh Shivani, Bhattacharjee Jayshree

Published in: The Journal of Obstetrics and Gynecology of India | Special Issue 1/2016

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Abstract

Background

Polycystic ovarian syndrome (PCOS) is a common endocrinopathy associated with wide heterogeneity and serious clinical implications. Prevalence and characteristics of different phenotypes are not well defined. Therefore, this study was planned to determine the prevalence of four phenotypes of PCOS and to evaluate their endocrine and metabolic parameters including insulin resistance and metabolic syndrome with respect to controls.

Methods

This observational, case–control study was conducted in the gynecology outpatient department of a tertiary care center where 161 PCOS and 50 non-PCOS women were recruited and investigated.

Results

All phenotypes of PCOS had higher BMI with respect to controls (P < 0.000). Overweight women were maximum in phenotype H + O followed by phenotype H + P. Significantly higher levels of luteinizing hormone (P < 0.01), testosterone (P < 0.0001), were observed in all phenotypes of PCOS as compared to controls. Serum cholesterol (P < 0.026) and triglycerides (P < 0.05) were significantly higher in all PCOS phenotypes compared to controls. Levels of fasting (P < 0.000) and post-prandial (P < 0.009) insulin were significantly higher in all phenotypes of PCOS with respect to controls. Mean insulin resistance (IR) was 24.09 % in PCOS and 2 % in controls, prevalence being highest in H + O phenotype followed by H + O + P. Prevalence of metabolic syndrome in women with PCOS was 36.02 %, being highest in H + O + P followed by H + O and that of control was 10 %.

Conclusion

All phenotypes of PCOS had deranged endocrine and metabolic profile compared to controls, but prevalence of IR and metabolic syndrome was maximum in hyperandrogenic phenotypes which require a strict surveillance for prospective metabolic disorders as compared to O + P phenotype.
Literature
2.
go back to reference Orio F Jr, Palomba S, Cascella T, et al. The increase of leukocytes as a new putative marker of low-grade chronic inflammation and early cardiovascular risk in polycystic ovary syndrome. J Clin Endocrinol Metab. 2005;90(1):2–5.CrossRefPubMed Orio F Jr, Palomba S, Cascella T, et al. The increase of leukocytes as a new putative marker of low-grade chronic inflammation and early cardiovascular risk in polycystic ovary syndrome. J Clin Endocrinol Metab. 2005;90(1):2–5.CrossRefPubMed
3.
go back to reference Teede H, Deeks A, Moran L. Polycystic ovary syndrome: a complex condition with psychological, reproductive and metabolic manifestations that impacts on health across the lifespan. BMC Med. 2010;30(8):41. doi:10.1186/1741-7015-8-41.CrossRef Teede H, Deeks A, Moran L. Polycystic ovary syndrome: a complex condition with psychological, reproductive and metabolic manifestations that impacts on health across the lifespan. BMC Med. 2010;30(8):41. doi:10.​1186/​1741-7015-8-41.CrossRef
6.
go back to reference The Rotterdam ESRE/ASRM-Sponsored PCOS Consensus Workshop Group. Revised 2003 consensus on diagnostic criteria and long term health risks related to polycystic ovarian syndrome. Fertile Steril. 2003;81:19–25. The Rotterdam ESRE/ASRM-Sponsored PCOS Consensus Workshop Group. Revised 2003 consensus on diagnostic criteria and long term health risks related to polycystic ovarian syndrome. Fertile Steril. 2003;81:19–25.
7.
go back to reference Strauss JF. Some new thoughts on the pathophysiology and genetics of polycystic ovarian syndrome. Ann NY Acad Sci. 2003;997(1):42–8.CrossRefPubMed Strauss JF. Some new thoughts on the pathophysiology and genetics of polycystic ovarian syndrome. Ann NY Acad Sci. 2003;997(1):42–8.CrossRefPubMed
8.
go back to reference De Leo V, Musacchio MC, Palermo V, et al. Polycystic ovary syndrome and metabolic co-morbidities: therapeutic options. Drugs Today. 2009;45:763–75.CrossRefPubMed De Leo V, Musacchio MC, Palermo V, et al. Polycystic ovary syndrome and metabolic co-morbidities: therapeutic options. Drugs Today. 2009;45:763–75.CrossRefPubMed
9.
go back to reference Zawadski JK, Dunaif A. Diagnostic criteria for polycytic ovarian syndrome: towards a rational approach. In: Dunaif A, Givens JR, Haseltine FP, Merriam GR, editors. Polycystic ovarian syndrome. Boston: Blackwell Scientific; 1992. p. 337–84. Zawadski JK, Dunaif A. Diagnostic criteria for polycytic ovarian syndrome: towards a rational approach. In: Dunaif A, Givens JR, Haseltine FP, Merriam GR, editors. Polycystic ovarian syndrome. Boston: Blackwell Scientific; 1992. p. 337–84.
10.
go back to reference Redmond GP, Bergfeld WF. Diagnostic approach to androgen disorders in women: acne, hirsutism and alopecia. Clevel Clin J Med. 1990;57(5):423–7.CrossRef Redmond GP, Bergfeld WF. Diagnostic approach to androgen disorders in women: acne, hirsutism and alopecia. Clevel Clin J Med. 1990;57(5):423–7.CrossRef
11.
go back to reference Dokras A, Bochner M, Hollinrake E, et al. Screening women with polycystic ovary syndrome for metabolic syndrome. Obstet Gynecol. 2005;106:1317.CrossRef Dokras A, Bochner M, Hollinrake E, et al. Screening women with polycystic ovary syndrome for metabolic syndrome. Obstet Gynecol. 2005;106:1317.CrossRef
13.
go back to reference Saxena P, Prakash A, Nigam A. Efficacy of 2-hour post glucose insulin levels in predicting insulin resistance in polycystic ovarian syndrome with infertility. J Hum Reprod Sci. 2011;4(1):20–2.CrossRefPubMedPubMedCentral Saxena P, Prakash A, Nigam A. Efficacy of 2-hour post glucose insulin levels in predicting insulin resistance in polycystic ovarian syndrome with infertility. J Hum Reprod Sci. 2011;4(1):20–2.CrossRefPubMedPubMedCentral
14.
go back to reference Legro RS, Finegood D, Dunaif A. A fasting glucose to insulin ratio is a useful measure of insulin sensitivity in women with polycystic ovary syndrome. J Clin Endocrinol Metab. 1998;83:2694–8.PubMed Legro RS, Finegood D, Dunaif A. A fasting glucose to insulin ratio is a useful measure of insulin sensitivity in women with polycystic ovary syndrome. J Clin Endocrinol Metab. 1998;83:2694–8.PubMed
15.
go back to reference Chauhan S, Joshi B, Mukherjee S, et al. A cross-sectional study of polycystic ovarian syndrome among adolescent and young girls in Mumbai, India. Indian J Endocrinol Metab. 2014;18(3):317–24.CrossRefPubMedPubMedCentral Chauhan S, Joshi B, Mukherjee S, et al. A cross-sectional study of polycystic ovarian syndrome among adolescent and young girls in Mumbai, India. Indian J Endocrinol Metab. 2014;18(3):317–24.CrossRefPubMedPubMedCentral
16.
17.
go back to reference Welt CK, Gudmundsson JA, Arason G, et al. Characterizing discrete subsets of polycystic ovary syndrome as defined by the rotterdam criteria: the impact of weight on phenotype and metabolic features. J Clin Endocrinol Metab. 2006;91(12):4842–8.CrossRefPubMed Welt CK, Gudmundsson JA, Arason G, et al. Characterizing discrete subsets of polycystic ovary syndrome as defined by the rotterdam criteria: the impact of weight on phenotype and metabolic features. J Clin Endocrinol Metab. 2006;91(12):4842–8.CrossRefPubMed
18.
go back to reference Zhang HY, Zhu FF, Xiong J, et al. Characteristics of different phenotypes of polycystic ovary syndrome based on the Rotterdam criteria in a large-scale Chinese population. BJOG. 2009;116(12):1633–9.CrossRefPubMed Zhang HY, Zhu FF, Xiong J, et al. Characteristics of different phenotypes of polycystic ovary syndrome based on the Rotterdam criteria in a large-scale Chinese population. BJOG. 2009;116(12):1633–9.CrossRefPubMed
19.
go back to reference Baldani DP, Skrgatić L, Simunić V, et al. Characteristics of different phenotypes of polycystic ovary syndrome based on the Rotterdam criteria in the Croatian population. Coll Antropol. 2013;37(2):477–82. PubMed Baldani DP, Skrgatić L, Simunić V, et al. Characteristics of different phenotypes of polycystic ovary syndrome based on the Rotterdam criteria in the Croatian population. Coll Antropol. 2013;37(2):477–82. PubMed
20.
go back to reference Panidis D, Tziomalos K, Misichronis G, et al. Insulin resistance and endocrine characteristics of the different phenotypes of polycystic ovary syndrome: a prospective study. Hum Reprod. 2012;27(2):541–9. doi:10.1093/humrep/der418.CrossRefPubMed Panidis D, Tziomalos K, Misichronis G, et al. Insulin resistance and endocrine characteristics of the different phenotypes of polycystic ovary syndrome: a prospective study. Hum Reprod. 2012;27(2):541–9. doi:10.​1093/​humrep/​der418.CrossRefPubMed
21.
go back to reference Shroff R, Syrop CH, Davis W, et al. Risk of metabolic complication in the new PCOS phenotypes based on Rotterdam criteria. Am Soc Reprod Med. 2007;88:1389–95. Shroff R, Syrop CH, Davis W, et al. Risk of metabolic complication in the new PCOS phenotypes based on Rotterdam criteria. Am Soc Reprod Med. 2007;88:1389–95.
Metadata
Title
Endocrine and Metabolic Profile of Different Phenotypes of Polycystic Ovarian Syndrome
Authors
Saxena Pikee
Singh Shivani
Bhattacharjee Jayshree
Publication date
01-10-2016
Publisher
Springer India
Published in
The Journal of Obstetrics and Gynecology of India / Issue Special Issue 1/2016
Print ISSN: 0971-9202
Electronic ISSN: 0975-6434
DOI
https://doi.org/10.1007/s13224-016-0898-7

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