Disposition Index, Glucose Effectiveness, and Conversion to Type 2 Diabetes

Author:

Lorenzo Carlos1,Wagenknecht Lynne E.2,Rewers Marian J.3,Karter Andrew J.4,Bergman Richard N.5,Hanley Anthony J.G.6,Haffner Steven M.7

Affiliation:

1. Division of Clinical Epidemiology, University of Texas Health Science Center, San Antonio, Texas;

2. Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina;

3. Barbara Davis Center for Childhood Diabetes and Human Medical Genetics Program, University of Colorado Health Sciences Center, Aurora, Colorado;

4. Division of Research, Northern California Region, Kaiser Permanente, Oakland, California;

5. Department of Physiology and Biophysics, University of Southern California, Los Angeles, California;

6. Departments of Nutritional Sciences and Medicine, Mount Sinai Hospital and the University of Toronto, Toronto, Ontario, Canada;

7. Department of Medicine, Baylor College of Medicine, Houston, Texas.

Abstract

OBJECTIVE Disposition index (DI) and glucose effectiveness (SG) are risk factors for diabetes. However, the effect of DI and SG on future diabetes has not been examined in large epidemiological studies using direct measures. RESEARCH DESIGN AND METHODS Insulin sensitivity index (SI), acute insulin response (AIR), and SG were measured in 826 participants (aged 40–69 years) in the Insulin Resistance Atherosclerosis Study (IRAS) by the frequently sampled intravenous glucose tolerance test. DI was expressed as SI × AIR. At the 5-year follow-up examination, 128 individuals (15.5%) had developed diabetes. RESULTS The area under the receiver operating characteristic curve of a model with SI and AIR was similar to that of DI (0.767 vs. 0.774, P = 0.543). In a multivariate logistic regression model that included both DI and SG, conversion to diabetes was predicted by both SG (odds ratio × 1 SD, 0.61 [0.47–0.80]) and DI (0.68 [0.54–0.85]) after adjusting for demographic variables, fasting and 2-h glucose concentrations, family history of diabetes, and measures of obesity. Age, sex, race/ethnicity, glucose tolerance status, obesity, and family history of diabetes did not have a significant modifying impact on the relation of SG and DI to incident diabetes. CONCLUSIONS The predictive power of DI is comparable to that of its components, SI and AIR. SG and DI independently predict conversion to diabetes similarly across race/ethnic groups, varying states of glucose tolerance, family history of diabetes, and obesity.

Publisher

American Diabetes Association

Subject

Advanced and Specialized Nursing,Endocrinology, Diabetes and Metabolism,Internal Medicine

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