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The role of the visceral adiposity index in the assessment of metabolic syndrome of polycystic ovary syndrome patients: a new anthropometric index

  • Gynecologic Endocrinology and Reproductive Medicine
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Abstract

Purpose

Polycystic ovary syndrome (PCOS) is a common endocrine disorder often linked to metabolic syndrome (MS), raising the risk of cardiovascular disease and type II diabetes. Certain indicators, such as the lipid accumulation product (LAP) and homeostatic model assessment for insulin resistance (HOMA-IR), can predict MS in PCOS patients. This study aimed to assess the predictive power of the visceral adiposity index (VAI) in comparison to LAP and HOMA-IR as predictors of MS in PCOS patients.

Methods

In this cross-sectional observational study, data from 317 diagnosed PCOS women were analyzed. VAI, LAP, and HOMA-IR were computed as indexes. Participants were categorized into two groups for index accuracy comparison: PCOS patients with and without MS. The data were assessed using a ROC curve.

Results

Among PCOS women with MS, 92.3% had abnormal VAI results, 94.5% had abnormal LAP results, and only 50.5% had abnormal HOMA-IR results. Conversely, the majority of PCOS women without MS had normal HOMA-IR (64.6%). When comparing these indexes using the ROC curve, VAI displayed the highest accuracy, followed by LAP and HOMA-IR.

Conclusion

The VAI index proved to be a superior predictor of metabolic MS in PCOS women when compared to other indexes.

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Data availability

Data supporting this paper are available on request.

References

  1. Amato MC, Magistro A, Gambino G, Vesco R, Giordano C (2015) Visceral adiposity index and DHEAS are useful markers of diabetes risk in women with polycystic ovary syndrome. Eur J Endocrinol 172(1):79–88. https://doi.org/10.1530/EJE-14-0600

    Article  CAS  PubMed  Google Scholar 

  2. ESHRE Rotterdam ASRM-Sponsored (2004) Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome (PCOS). Hum Reprod 19:41–47

    Article  Google Scholar 

  3. Mousa A, Tay CT, Teede H (2023) Technical report for the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Monash University, Melbourne

    Google Scholar 

  4. Çakıroğlu Y, Vural F, Vural B (2016) The inflammatory markers in polycystic ovary syndrome: association with obesity and IVF outcomes. J Endocrinol Invest 39(8):899–907

    Article  PubMed  Google Scholar 

  5. de Leo V, Musacchio MC, Cappelli V et al (2016) Genetic, hormonal and metabolic aspects of PCOS: an update. Reprod Biol Endocrinol 14(1):38

    Article  PubMed  PubMed Central  Google Scholar 

  6. Durmus U, Duran C, Ecirli S (2017) Visceral adiposity index levels in overweight and/or obese, and non-obese patients with polycystic ovary syndrome and its relationship with metabolic and inflammatory parameters. J Endocrinol Invest 40(5):487–497

    Article  CAS  PubMed  Google Scholar 

  7. McCartney CR, Marshall JC (2016) Clinical practice polycystic ovary syndrome. N Engl J Med 375(1):54–64

    Article  PubMed  PubMed Central  Google Scholar 

  8. Spritzer PM, Lecke SB, Satler F et al (2015) Adipose tissue dysfunction, adipokines, and low-grade chronic inflammation in polycystic ovary syndrome. Reproduction 149(5):R219–R227

    Article  CAS  PubMed  Google Scholar 

  9. Rocha AL et al (2019) Recent advances in the understanding and management of polycystic ovary syndrome. F1000Res. https://doi.org/10.12688/f1000research.15318.1

    Article  PubMed  PubMed Central  Google Scholar 

  10. Kakoly NS, Khomami MB, Joham AE, Cooray SD, Misso ML, Norman RJ, Harrison CL, Ranasinha S, Teede HJ, Moran LJ (2018) Ethnicity, obesity and the prevalence of impaired glucose tolerance and type 2 diabetes in PCOS: a systematic review and meta-regression. Hum Reprod Update 24(4):455–467. https://doi.org/10.1093/humupd/dmy007. (PMID: 29590375)

    Article  CAS  PubMed  Google Scholar 

  11. Amato MC, Verghi M, Galluzzo A, Giordano C (2011) The oligomenorrhoic phenotypes of polycystic ovary syndrome are characterized by a high visceral adiposity index: a likely condition of cardiometabolic risk. Hum Reprod 26(6):1486–1494. https://doi.org/10.1093/humrep/der088. (Epub 2011 Mar 29 PMID: 21447694)

    Article  PubMed  Google Scholar 

  12. Reaven G (2002) Metabolic syndrome: pathophysiology and implications for management of cardiovascular disease. Circulation 106:286–288

    Article  PubMed  Google Scholar 

  13. Guzick DS, Talbott EO, Sutton-Tyrrell K, Herzog HC, Kuller LH, Wolfson SKJr (1996) Carotid atherosclerosis in women with polycystic ovary syndrome: initial results from a case–control study. Am J Obstet Gynecol 174:1224–1232

    Article  CAS  PubMed  Google Scholar 

  14. Birdsall MA, Farquhar CM, White HD (1997) Association between polycystic ovaries and extent of coronary artery disease in women having cardiac catheterization. Ann Intern Med 126:32–35

    Article  CAS  PubMed  Google Scholar 

  15. Pierpoint T, McKeigue PM, Isaacs AJ, Wild SH, Jacobs HS (1998) Mortality of women with polycystic ovary syndrome at long-term follow-up. J Clin Epidemiol 51:581–586

    Article  CAS  PubMed  Google Scholar 

  16. Wild S, Pierpoint T, McKeigue P, Jacobs H (2000) Cardiovascular disease in women with polycystic ovary syndrome at long-term follow-up: a retrospective cohort study. Clin Endocrinol 52:595–600

    Article  CAS  Google Scholar 

  17. Christian RC, Dumesic DA, Behrenbeck T, Oberg AL, Sheedy PF, Fitzpatrick LA (2003) Prevalence and predictors of coronary artery calcification in women with polycystic ovary syndrome. J Clin Endocrinol Metab 88:2562–2568

    Article  CAS  PubMed  Google Scholar 

  18. Esteghamati A, Ashraf H, Khalilzadeh O, Zandieh A, Nakhjavani M, Rashidi A, Haghazali M, Asgari F (2010) Optimal cut-off of homeostasis model assessment of insulin resistance (HOMA-IR) for the diagnosis of metabolic syndrome: third national surveillance of risk factors of non-communicable diseases in Iran (SuRFNCD-2007). Nutr Metab (Lond) 7(7):26. https://doi.org/10.1186/1743-7075-7-26.PMID:20374655;PMCID:PMC2857836

    Article  PubMed  Google Scholar 

  19. Kahn HS (2005) The “lipid accumulation product” performs better than the body mass index for recognizing cardiovascular risk: a population-based comparison. BMC Cardiovasc Disord 5:26

    Article  PubMed  PubMed Central  Google Scholar 

  20. Naghshband Z, Kumar L, Mandappa S, Niranjana Murthy AS, Malini SS (2021) Visceral adiposity index and lipid accumulation product as diagnostic markers of metabolic syndrome in south indians with polycystic ovary syndrome. J Hum Reprod Sci. 14(3):234–243

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Amato MC, Giordano C, Galia M et al (2010) AlkaMeSy study group: visceral adiposity index: a reliable indicator of visceral fat function associated with cardiometabolic risk. Diabetes Care 33:920–922

    Article  PubMed  PubMed Central  Google Scholar 

  22. Brończyk-Puzoń A, Jagielski P, Kulik-Kupka K, Koszowska A, Nowak J, Zubelewicz-Szkodzińska B (2017) Usefulness of a new anthropometric indicator – VAI (visceral adiposity index) in the evaluation of metabolic and hormonal disorders in women with polycystic ovary syndrome. Adv Clin Exp Med 26(5):825–828

    Article  PubMed  Google Scholar 

  23. Abruzzese GA, Cerrone GE, Gamez JM, Graffigna MN, Belli S, Lioy G et al (2017) Lipid accumulation product (LAP) and visceral adiposity index (VAI) as markers of insulin resistance and metabolic associated disturbances in young argentine women with polycystic ovary syndrome. Horm Metab Res 49:23–29

    CAS  PubMed  Google Scholar 

  24. Expert panel on detection, evaluation, and treatment of high blood cholesterol in adults. executive summary of the third report of the national cholesterol education program (NCEP) (2001) Expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III). J Am Med Assoc 2001(285):2486–2497. https://doi.org/10.1001/jama.285.19.2486

    Article  Google Scholar 

  25. Schuster J, Vogel P, Eckhardt C, Morelo SDB (2014) Simone Applicability of the visceral adiposity index (VAI) in predicting components of metabolic syndrome in young adults. Nutr Hosp 30(4):806–812

    PubMed  Google Scholar 

  26. Joshi B, Lakhan T, Mukherjee S, Patil A, Unisa S (2018) Visceral adiposity index among young girls with PCOS and its association with phenotypes and metabolic risk. Int J Reprod Contracept Obstet Gynecol 7(2):513–518

    Article  Google Scholar 

  27. Techatraisak K, Wongmeerit K, Dangrat C, Wongwananuruk T, Indhavivadhana S (2016) Measures of body adiposity and visceral adiposity index as predictors of metabolic syndrome among Thai women with PCOS. Gynecol Endocrinol 32(4):276–280

    Article  CAS  PubMed  Google Scholar 

  28. Pontes AG, Rehme MFB, Martins AMVC, Micussi MTABC, Maranhão TMO, Pimenta WP et al (2012) Resistência à insulina em mulheres com síndrome dos ovários policísticos: relação com as variáveis antropométricas e bioquímicas. Rev Bras Ginecol Obstet 34:74–79

    Article  PubMed  Google Scholar 

  29. Soares LM (2016) Produto de acumulação lipídica: acurácia para identificação de portadores da síndrome metabólica em adultos. Universidade Federal de Minas Gerais, Belo Horizonte

    Google Scholar 

  30. Ribeiro VB, Kogure GS, Lopes IP, Silva RC, Pedroso DCC, Ferriani RA et al (2019) Association of measures of central fat accumulation indices with body fat distribution and metabolic, hormonal, and inflammatory parameters in women with polycystic ovary syndrome. Arch Endocrinol Metab 63(4):417–426

    PubMed  PubMed Central  Google Scholar 

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Funding

This study and all authors have received no funding.

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Authors and Affiliations

Authors

Contributions

BT: conceptualization, data curation, writing—original draft preparation; NIR; CJM; CJD; OMA; CMG: data curation, writing—original draft preparation; ARC: conceptualization, data curation, writing—review & editing; OFR: data curation—original draft preparation; CFV: data curation, writing—original draft preparation; CAL: project administration, supervision, writing—review & editing; RFM and R ALL: conceptualization, data curation, methodology, supervision, writing—review & editing.

Corresponding author

Correspondence to Ana Luiza L. Rocha.

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Rocha, A.L., Baêta, T., Nazareth, I.R. et al. The role of the visceral adiposity index in the assessment of metabolic syndrome of polycystic ovary syndrome patients: a new anthropometric index. Arch Gynecol Obstet 309, 1643–1649 (2024). https://doi.org/10.1007/s00404-023-07328-7

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