The oligomenorrhoic phenotypes of polycystic ovary syndrome are characterized by a high visceral adiposity index: a likely condition of cardiometabolic risk
The oligomenorrhoic phenotypes of polycystic ovary syndrome are characterized by a high visceral adiposity index: a likely condition of cardiometabolic risk
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DOI：
10.1093/humrep/der088
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发表时间：
2011-06-01
影响因子：
6.1
通讯作者：
Giordano, Carla
中科院分区：
文献类型：
--
作者：
Amato, Marco Calogero;Verghi, Monica;Giordano, Carla
背景资料：患有多囊卵巢综合征（PCOS）的女性经常表现出向心性肥胖、葡萄糖耐受不良、致动脉粥样硬化性血脂异常和高血压，这些是心脏代谢风险状况的特征性特征。我们的目的是探讨内脏肥胖指数（VAI）和PCOS妇女的表型特征之间的关系。方法：我们进行了一项横断面病例对照研究，在我们的内分泌门诊。共有220名PCOS（鹿特丹定义）妇女和144名年龄和BMI匹配的健康妇女进行了研究。我们评估高雄激素血症和临床高雄激素血症，卵巢形态，下丘脑-垂体轴和代谢综合征参数。口服葡萄糖耐量试验（75 g葡萄糖）测量胰岛素（AUC（2 h-胰岛素））和葡萄糖（AUC（2 h-葡萄糖））的曲线下面积（AUC）。结果：在所有检测的变量中，在多变量分析中，只有AUC、AUC和VAI在多变量分析中有显著性差异，而AUC和VAI在多变量分析中无显著性差异，而AUC和VAI在多变量分析中无显著性差异。（2 h-胰岛素）[比值比（OR）：1.00; 95%置信区间（Cl）：1.00-1.00; P = 0.003]和VAI评分（OR：1.81; 95%CI：1.20-2.73; P = 0.005）与PCOS有独立相关性。月经过少的所有表型的VAI评分均高于对照组月经过少+高雄激素血症：2.49 +/- 1.46 vs 1.62 +/- 0.84，P < 0.001;月经过少+多囊卵巢形态：2.25 +/- 1.4 vs 1.62 +/- 0.84，P = 0.001;完全表型：结论：我们的数据表明，VAI在日常临床实践和人群研究中可以成为评估PCOS相关心脏代谢风险的简单而有用的工具。
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 (AUC(2h-insulin)) and for glucose (AUC(2h-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 AUC(2h-insulin) [odds ratio (OR): 1.00; 95% confidence interval (Cl): 1.00-1.00; P = 0.003] and VAI score (OR: 1.81; 95% Cl: 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.