The biological variation of insulin resistance in polycystic ovarian syndrome

The biological variation of insulin resistance in polycystic ovarian syndrome
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DOI:
10.1210/jc.87.4.1560
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发表时间:
2002-04-01
影响因子:
5.8
通讯作者:
Atkin, SL
Atkin, SL
中科院分区:
医学2区
文献类型:
--
作者:
Jayagopal, V;Kilpatrick, ES;Atkin, SL

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胰岛素抵抗(IR)增加是超重的多囊卵巢综合征(PCOS)患者的一个主要特征。然而,没有关于 PCOS 受试者 IR 变异性的数据。通过在 12 名超重 PCOS 患者(中位年龄,28 岁;范围,18-31 岁)和 11 名体重匹配、月经规律且无 PCOS 的对照女性(中位年龄,30 岁;范围,19-33 岁)中连续 10 次以 4 天为间隔测量 IR,评估 IR(稳态模型评估模型)的生物学变异。 PCOS 组 IR 呈对数高斯分布,对照组 IR 呈高斯分布。 PCOS 受试者的 IR 显着高于对照组 [平均值(范围),5.85 U (1-42.1) vs. 1.67 U (0.48-3.49); P = 0.001]。考虑到分析变异后,PCOS 患者的平均个体内方差也显着大于对照组(平均值为 1.19 比 0.23)。因此,在任何 IR 水平下,后续样本必须上升 322% 以上或下降 31% 以上才能被视为与第一个样本显着不同。使用稳态模型评估模型测量的 IR 对于超重 PCOS 患者来说明显更大且变化更大。因此,在 PCOS 的 IR 研究中需要考虑这种固有的变异性。
Increased insulin resistance (IR) is a cardinal feature of overweight patients with polycystic ovarian syndrome (PCOS). However, there are no data on the variability of IR for subjects with PCOS. The biological variation of IR (homeostasis model assessment model) was assessed by measuring IR at 4-d intervals on 10 consecutive occasions in 12 overweight PCOS patients (median age, 28 yr; range, 18-31 yr) and 11 weight-matched control women having regular menses and without PCOS (median age, 30 yr; range, 19-33 yr). The distribution of IR was log Gaussian in PCOS and Gaussian distribution in the control group. The IR in PCOS subjects was significantly greater than in the controls [mean (range), 5.85 U (1-42.1) vs. 1.67 U (0.48-3.49); P = 0.001]. After accounting for analytical variation, the mean intraindividual variance was also substantially greater in PCOS patients than in controls (mean, 1.19 vs. 0.23). As a consequence, at any level of IR, a subsequent sample must rise by more than 322% or fall by more than 31% to be considered significantly different from the first. IR, measured using the homeostasis model assessment model, is significantly greater and more variable for overweight patients with PCOS. Therefore, this inherent variability needs to be accounted for in studies of IR in PCOS.