Abdul-Ghani Muhammad A, Williams Ken, DeFronzo Ralph A, Stern Michael
Division of Diabetes, University of Texas Health Science Center at San Antonio, San Antonio, Texas 78229, USA.
Diabetes Care. 2007 Jun;30(6):1544-8. doi: 10.2337/dc06-1331. Epub 2007 Mar 23.
We sought to assess insulin secretion/insulin resistance index in predicting the risk for future type 2 diabetes
A total of 1,551 nondiabetic subjects from the San Antonio Heart Study received an oral glucose tolerance test (OGTT) with measurement of plasma glucose and insulin concentrations at 0, 30, 60, and 120 min at baseline and after 7-8 years of follow-up. Insulin secretion/insulin resistance index was calculated as the product of Matsuda index and DeltaI(0-30)/DeltaG(0-30) or DeltaI(0-120)/DeltaG(0-120). The discriminatory power of various prediction models for development of type 2 diabetes was tested with the area under the receiver-operating characteristic (ROC) curve.
Insulin secretion/insulin resistance index (0- to 30- and 0- to 120-min time periods) had the greatest areas under the ROC curve (0.85 and 0.86, respectively), which were significantly greater than the 2-h plasma glucose concentration during the OGTT or the San Antonio Diabetes Prediction Model (SADPM) (P < 0.001 and P < 0.0001, respectively). A model based on the combination of the SADPM and a modified version of the insulin secretion/insulin resistance index or 1-h plasma glucose concentration had equal power to predict the risk for future type 2 diabetes compared with the insulin secretion/insulin resistance index.
The insulin secretion/insulin resistance index is useful as a predictor of future development of type 2 diabetes. A model based on the combination of the SADPM and either a modified version of the insulin secretion/insulin resistance index or 1-h plasma glucose concentration can equally predict future type 2 diabetes.
我们试图评估胰岛素分泌/胰岛素抵抗指数在预测未来2型糖尿病风险方面的作用。
来自圣安东尼奥心脏研究的1551名非糖尿病受试者在基线时以及随访7 - 8年后接受了口服葡萄糖耐量试验（OGTT），并在0、30、60和120分钟时测量血浆葡萄糖和胰岛素浓度。胰岛素分泌/胰岛素抵抗指数计算为松田指数与ΔI(0 - 30)/ΔG(0 - 30)或ΔI(0 - 120)/ΔG(0 - 120)的乘积。使用受试者工作特征（ROC）曲线下面积来测试各种预测模型对2型糖尿病发生的判别能力。
胰岛素分泌/胰岛素抵抗指数（0至30分钟和0至120分钟时间段）的ROC曲线下面积最大（分别为0.85和0.86），显著大于OGTT期间的2小时血浆葡萄糖浓度或圣安东尼奥糖尿病预测模型（SADPM）（分别为P < 0.001和P < 0.0001）。与胰岛素分泌/胰岛素抵抗指数相比，基于SADPM与胰岛素分泌/胰岛素抵抗指数的改良版或1小时血浆葡萄糖浓度相结合的模型在预测未来2型糖尿病风险方面具有同等效力。
胰岛素分泌/胰岛素抵抗指数可作为预测未来2型糖尿病发生的有用指标。基于SADPM与胰岛素分泌/胰岛素抵抗指数的改良版或1小时血浆葡萄糖浓度相结合的模型能够同样有效地预测未来的2型糖尿病。
