The oligomenorrhoic phenotypes of polycystic ovary syndrome are characterized by a high visceral adiposity index: a likely condition of cardiometabolic risk  

Oleh:

Amato, Marco C. ; Verghi, Monica ; Galluzzo, Aldo ; Giordano, Carla

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Human Reproduction vol. 26 no. 06 (Jun. 2011), page 1486-1494.
Topik: OVARY; Polycystic ovary syndrome; visceral adiposity index; visceral obesity; oligomenorrhea; cardiometabolic risk

Ketersediaan

Perpustakaan FK Nomor Panggil: H07.K.2011.01 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

BACKGROUND Women with polycystic ovary syndrome (PCOS) frequently exhibit central obesity, glucose intolerance, atherogenic dyslipidemia and hypertension, which are characteristic features of a condition of cardiometabolic risk. Our objective was to investigate the relationship between visceral adiposity index (VAI) and phenotypic characteristics in women with PCOS. METHODS We conducted a cross-sectional case–control study in our Endocrinology Outpatients Clinic. A total of 220 women with PCOS (Rotterdam definition) and 144 age- and BMI-matched healthy women were studied. We evaluated hyperandrogenemia and clinical hyperandrogenism, ovarian morphology, hypothalamic–hypophyseal axis and metabolic syndrome parameters. An oral glucose tolerance test (75 g glucose) measured areas under the curve (AUC) for insulin (AUC2h-insulin) and for glucose (AUC2h-glucose). Homeostasis model assessment of insulin resistance, the Matsuda index of insulin resistance and VAI were determined. RESULTS Of all the variables examined, at multivariate analysis, only AUC2h-insulin [odds ratio (OR): 1.00; 95% confidence interval (CI): 1.00–1.00; P = 0.003] and VAI score (OR: 1.81; 95% CI: 1.20–2.73; P = 0.005) showed an independent association with PCOS. All phenotypes with oligomenorrhea showed a higher VAI score than the control group (oligomenorrhea + hyperandrogenism: 2.49 ± 1.46 versus 1.62 ± 0.84, P < 0.001; oligomenorrhea + polycystic ovary morphology: 2.25 ± 1.4 versus 1.62 ± 0.84, P = 0.001; complete phenotype: 2.45 ± 1.63 versus 1.62 ± 0.84, P < 0.001). CONCLUSIONS Our data suggest that VAI could be an easy and useful tool in daily clinical practice and in population studies for the assessment of cardiometabolic risk associated with PCOS

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