Lipid indices as simple and clinically useful surrogate markers for insulin resistance in the U.S. population.
Lipid indices as simple and clinically useful surrogate markers for insulin resistance in the U.S. population.
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DOI：
10.1038/s41598-021-82053-2
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发表时间：
2021-01-27
影响因子：
4.6
通讯作者：
Moon S
中科院分区：
文献类型：
--
作者：
Lee J;Kim B;Kim W;Ahn C;Choi HY;Kim JG;Kim J;Shin H;Kang JG;Moon S
本研究旨在比较新的血脂指标，包括内脏肥胖指数（VAI），脂质蓄积积（TG），甘油三酯和葡萄糖（TyG）指数，TyG-体重指数（TyG-BMI），和TyG-腰围（TyG-WC），在识别胰岛素抵抗和建立有效的临界值的准确性。这项横断面研究使用了来自美国国家健康和营养调查（1999-2016）的11，378名成年人的数据。胰岛素抵抗定义为稳态模型评估-各性别和人种/种族的胰岛素抵抗值高于第75百分位数。曲线下面积（AUC）如下：VAI，0.735; BMI，0.796; TyG指数，0.723; TyG-BMI，0.823; TyG-WC，0.822。TyG-BMI和TyG-WC的AUC显著高于VAI、AUC和TyG指数（vs. TyG-BMI，p < 0.001; vs. TyG-WC，p < 0.001）。截止值如下：VAI：男性1.65，女性1.65; BMI：男性42.5，女性42.5; TyG指数：男性4.665，女性4.575; TyG-BMI：男性135.5，女性135.5;和TyG-WC：男性461.5，女性440.5。由于血脂指数可以很容易地计算与常规实验室检查，这些值可能是有用的标记物，在临床环境中的胰岛素抵抗风险评估。
This study aimed to compare the accuracy of novel lipid indices, including the visceral adiposity index (VAI), lipid accumulation product (LAP), triglycerides and glucose (TyG) index, TyG-body mass index (TyG-BMI), and TyG-waist circumference (TyG-WC), in identifying insulin resistance and establish valid cutoff values. This cross-sectional study used the data of 11,378 adults, derived from the United States National Health and Nutrition Examination Survey (1999–2016). Insulin resistance was defined as a homeostasis model assessment-insulin resistance value above the 75th percentile for each sex and race/ethnicities. The area under the curves (AUCs) were as follows: VAI, 0.735; LAP, 0.796; TyG index, 0.723; TyG-BMI, 0.823, and; TyG-WC, 0.822. The AUCs for TyG-BMI and TyG-WC were significantly higher than those for VAI, LAP, and TyG index (vs. TyG-BMI, p < 0.001; vs. TyG-WC, p < 0.001). The cutoff values were as follows: VAI: men 1.65, women 1.65; LAP: men 42.5, women 42.5; TyG index: men 4.665, women 4.575; TyG-BMI: men 135.5, women 135.5; and TyG-WC: men 461.5, women 440.5. Given that lipid indices can be easily calculated with routine laboratory tests, these values may be useful markers for insulin resistance risk assessments in clinical settings.
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