CC BY 4.0 · Rev Bras Ginecol Obstet 2019; 41(01): 037-043
DOI: 10.1055/s-0038-1676568
Original Article
Thieme Revinter Publicações Ltda Rio de Janeiro, Brazil

The Prevalence of Metabolic Syndrome in the Different Phenotypes of Polycystic Ovarian Syndrome

A prevalência da síndrome metabólica nos diferentes fenótipos da síndrome do ovário policístico
1   Universidade Federal de Pernambuco, Recife, PE, Brazil
,
Romualda Castro Rêgo Barros
1   Universidade Federal de Pernambuco, Recife, PE, Brazil
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Weitere Informationen

Publikationsverlauf

18. Juni 2018

31. Oktober 2018

Publikationsdatum:
04. Februar 2019 (online)

Abstract

Objective To evaluate the prevalence of metabolic syndrome (MetS) in the phenotypes of polycystic ovarian syndrome (PCOS).

Methods This was a cross-sectional study involving 111 women aged between 18 and 39 years old diagnosed with PCOS, according to the Rotterdam Criteria, and grouped into four phenotypes: A: ovulatory dysfunction + hyperandrogenism + polycystic ovaries; B: ovulatory dysfunction + hyperandrogenism; C: hyperandrogenism + polycystic ovaries; D: ovulatory dysfunction + polycystic ovaries. To evaluate the presence of MetS, we measured serum triglyceride levels, HDL cholesterol, fasting blood glucose, blood pressure, and waist circumference.

Results The prevalence of MetS found in this sample was 33.6%, and there was no statistically significant difference (p < 0.05) among the 4 phenotypes. However, phenotype D presented a significantly higher mean glucose level after fasting (93.6 mg/dL) and 2 hours after ingesting a solution with 75 g of anhydrous glucose (120 mg/dL), as well as the lowest mean level of high-density lipoprotein (HDL) cholesterol (44.7 mg/dL). The women in this group demonstrated a high prevalence of abdominal circumference ≥ 80 cm (68.2%), as well as the highest mean abdominal circumference (90.1 cm). Amongst the women with an abdominal circumference ≥ 80 cm, phenotype A increased approximately six-fold the chance of developing metabolic syndrome in relation to phenotype C.

Conclusion The four phenotypes of PCOS demonstrated similar prevalence rates of metabolic syndrome; abdominal obesity presented a relevant role in the development of metabolic alterations, regardless of the phenotype.

Resumo

Objetivo Avaliar a prevalência da síndrome metabólica nos fenótipos da síndrome do ovário policístico.

Métodos Trata-se de um estudo transversal envolvendo 111 mulheres com idade entre 18 e 39 anos com diagnóstico de síndrome do ovário policístico, segundo os critérios de Roterdã, e agrupadas em quatro fenótipos: A: Disfunção ovulatória + hiperandrogenismo + ovários policísticos; B: disfunção ovulatória + hiperandrogenismo; C: hiperandrogenismo + ovários policísticos; D: disfunção ovulatória + ovários policísticos. Para avaliar a presença de síndrome metabólica, foram medidos os níveis séricos de triglicérides, colesterol HDL e glicemia de jejum, pressão arterial e circunferência da cintura.

Resultados A prevalência de síndrome metabólica encontrada nesta amostra foi de 33,6%, e não houve diferença estatisticamente significativa (p < 0,05) entre os quatro fenótipos. Entretanto, o fenótipo D apresentou um nível médio de glicose significativamente mais alto após o jejum (93,6 mg/dL) e duas horas após a ingestão de uma solução com 75g de glicose anidra (120 mg/dL), bem como o menor nível médio de colesterol HDL (44,7 mg/dl). As mulheres deste grupo demonstraram alta prevalência de circunferência abdominal ≥ 80 cm (68,2%), bem como a maior média de circunferência abdominal (90,1 cm). Entre as mulheres com circunferência abdominal ≥ 80 cm, o fenótipo A aumentou em aproximadamente 6 vezes a chance de desenvolver síndrome metabólica em relação ao fenótipo C.

Conclusão Os quatro fenótipos da síndrome do ovário policístico demonstraram taxas semelhantes de prevalência de síndrome metabólica; a obesidade abdominal apresentou papel relevante no desenvolvimento de alterações metabólicas, independentemente do fenótipo.

Contributors

Tavares A. and Barros R. C. R. contributed with the project and the interpretation of data, the writing of the article, the critical review of the intellectual content and the final approval of the version to be published.


 
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