PMOS / PCOS · Long Term Health

Metabolic syndrome and metabolic risk profile according to polycystic ovary syndrome phenotype

Bil E, Dilbaz B, Cirik DA, Ozelci R, Ozkaya E, Dilbaz S

Published July 2016 The Journal of Obstetrics and Gynaecology Research, 42(7), 837-843
DOI 10.1111/jog.12985 PMID 27071345

Abstract

Aim

It is unknown which phenotype of polycystic ovary syndrome (PCOS) has a greater metabolic risk and how to detect this risk. The aim of this study was therefore to compare the incidence of metabolic syndrome (MetS) and metabolic risk profile (MRP) for different phenotypes.

Methods

A total of 100 consecutive newly diagnosed PCOS women in a tertiary referral hospital were recruited. Patients were classified into four phenotypes according to the Rotterdam criteria, on the presence of at least two of the three criteria hyperandrogenism (H), oligo/anovulation (O) and PCO appearance (P): phenotype A, H + O + P; phenotype B, H + O; phenotype C, H + P; phenotype D, O + P. Prevalence of MetS and MRP were compared among the four groups.

Results

Based on Natural Cholesterol Education Program Adult Treatment Panel III diagnostic criteria, MetS prevalence was higher in phenotypes A and B (29.6% and 34.5%) compared with the other phenotypes (10.0% and 8.3%; P < 0.001). Although the prevalence of obesity was similar, the number of patients with homeostatic model assessment insulin resistance index (HOMA-IR) >3.8 was significantly higher in androgenic PCOS phenotypes. After logistic regression analysis, visceral adiposity index (VAI) was the only independent predictor of MetS in PCOS (P = 0.002). VAI was also significantly higher in phenotype B, when compared with the others (P < 0.01).

Conclusion

Phenotypes A and B had the highest risk of MetS among the four phenotypes, and VAI may be a predictor of metabolic risk in PCOS women.

Topics

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PMOS / PCOS › Long Term Health › Metabolic Risk
Enes Bil, Berna Dilbaz, Derya Akdag Cirik, Runa Ozelci, Enis Ozkaya, Serdar Dilbaz
E Bil, B Dilbaz, D Cirik, R Ozelci, E Ozkaya, S Dilbaz
PMID 27071345 27071345 DOI 10.1111/jog.12985 10.1111/jog.12985 Bil et al. 2016, Bil 2016