Use of the oral glucose tolerance test to assess insulin release and insulin sensitivity
Use of the oral glucose tolerance test to assess insulin release and insulin sensitivity
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DOI：
10.2337/diacare.23.3.295
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发表时间：
2000-03-01
期刊：
影响因子：
16.2
通讯作者：
Gerich, J
中科院分区：
文献类型：
--
作者：
Stumvoll, M;Mitrakou, A;Gerich, J
目的 - 口服葡萄糖耐量测试（OGTT）通常用于评估各种临床环境中明显的胰岛素释放和胰岛素抵抗。然而，由于胰岛素敏感性和胰岛素释放是相互依存的，因此从OGTT中可以预测它们在多大程度上是不清楚的设计和方法 - 我们使用104个非糖中性夹在104个非糖尿病夹中释放的eugememic -Hyperinsulinemic Clamp和胰岛素研究了胰岛素敏感性。他也经历了OGTT。对OGTT的人口参数（BMI，腰围比，年龄）和血浆葡萄糖和胰岛素值进行了多种线性回归，以预测葡萄糖的代谢清除率（MCR），胰岛素敏感性指数（ISI），ISI）和通过相应测量clampss.results-预测MCR和ISI包含BMI，胰岛素（120分钟）和葡萄糖（90分钟）的方程式，并与测得的MCR高度相关（r = 0.80，p <0.00005）和ISI（r = 0.79，p = 0.79，p <0.00005）。预测IST pH和第二个pH的方程式包含胰岛素（0和30分钟）和葡萄糖（30分钟），并且也与测得的IST pH（r = 0.78，p <0.00005）和第二pH（r = 0.79，p = 0.79，p）高度相关（r = 0.79，p <0.00005）。我们方程预测的参数与测量参数的相关性比分泌和抗性的稳态模型评估更好，分泌30分钟的三角中胰岛素30分钟30分钟30分钟的分泌葡萄糖比（120分钟）（120分钟）（120分钟）（从OGTT.Conconconions中获得的胰岛素耐药性） - 因此，我们得出的结论是，从简单的人口统计参数中预测胰岛素敏感性和胰岛素释放在OGTT期间获得的值是可能的。派生的方程应用于各种临床环境中，其中使用夹具或最小模型是不切实际的。
OBJECTIVE - The oral glucose tolerance test (OGTT) has often been used to evaluate apparent insulin release-and insulin resistance in various clinical settings. However, because insulin sensitivity and insulin release are interdependent, to what extent they can be predicted from an OGTT is unclear.RESEARCH DESIGN AND METHODS - We studied insulin sensitivity using the euglycemic-hyperinsulinemic clamp and insulin release using the hyperglycemic clamp in 104 nondiabetic volunteers who had also undergone an OGTT. Demographic parameters (BMI, waist-to-hip ratio, age) and plasma glucose and insulin values from the OGTT were subjected to multiple linear regression to predict the metabolic clearance rate (MCR) of glucose, the insulin sensitivity index (ISI), and first-phase (Ist PH) and second-phase (2nd PPI) insulin release as measured with the respective clamps.RESULTS - The equations predicting MCR and ISI contained BMI, insulin (120 min), and glucose (90 min) and were highly correlated with the measured MCR (r = 0.80, P < 0.00005) and ISI (r = 0.79, P < 0.00005). The equations predicting Ist PH and 2nd PH contained insulin (0 and 30 min) and glucose (30 min) and were also highly correlated with the measured Ist PH (r = 0.78, P < 0.00005) and 2nd PH (r = 0.79, P < 0.00005). The parameters predicted by our equations correlated better with the measured parameters than homeostasis model assessment for secretion and resistance, the Delta 30-min insulin Delta 30-min glucose ratio for secretion and insulin (120 min) for insulin resistance taken from the OGTT.CONCLUSIONS - We thus conclude that predicting insulin sensitivity and insulin release with reasonable accuracy from simple demographic parameters and values obtained during an OGTT is possible. The derived equations should be used in various clinical settings in which the use of clamps or the minimal model would be impractical.