OBJECTIVE: We sought to assess insulin secretion/insulin resistance index in predicting the risk for future type 2 diabetes RESEARCH DESIGN AND METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
OBJECTIVE: We sought to assess insulin secretion/insulin resistance index in predicting the risk for future type 2 diabetes RESEARCH DESIGN AND METHODS: 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. RESULTS: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. CONCLUSIONS: 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.
Authors: Michael Bergman; Muhammad Abdul-Ghani; João Sérgio Neves; Mariana P Monteiro; Jose Luiz Medina; Brenda Dorcely; Martin Buysschaert Journal: J Clin Endocrinol Metab Date: 2020-08-01 Impact factor: 5.958
Authors: Steven K Malin; Thomas P J Solomon; Alecia Blaszczak; Stephen Finnegan; Julianne Filion; John P Kirwan Journal: Am J Physiol Endocrinol Metab Date: 2013-09-17 Impact factor: 4.310
Authors: Joon Young Kim; Fida Bacha; Hala Tfayli; Sara F Michaliszyn; Shahwar Yousuf; Silva Arslanian Journal: Diabetes Care Date: 2018-11-19 Impact factor: 19.112