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DOI 10.1111/jog.12985

Медицинская библиотека · The journal of obstetrics and gynaecology research · 2016

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

Bil Enes, Dilbaz Berna, Cirik Derya Akdag, Ozelci Runa, Ozkaya Enis, Dilbaz Serdar

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Аннотация

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.

Для цитирования: Bil Enes, Dilbaz Berna, Cirik Derya Akdag, Ozelci Runa, Ozkaya Enis, Dilbaz Serdar. Metabolic syndrome and metabolic risk profile according to polycystic ovary syndrome phenotype.. The journal of obstetrics and gynaecology research. 2016. DOI: 10.1111/jog.12985.

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