Design and Clinical Pilot Testing of the Model-Based Dynamic Insulin Sensitivity and Secretion Test (DISST)

Author:

Lotz Thomas F.1,Chase J. Geoffrey1,McAuley Kirsten A.2,Shaw Geoffrey M.34,Docherty Paul D.1,Berkeley Juliet E.4,Williams Sheila M.2,Hann Christopher E.1,Mann Jim I.2

Affiliation:

1. Centre for Bioengineering, University of Canterbury, Christchurch, New Zealand

2. Edgar National Centre for Diabetes Research, University of Otago, Dunedin, New Zealand

3. Department of Intensive Medicine, Christchurch Hospital, Christchurch, New Zealand

4. Christchurch School of Medicine, University of Otago, Christchurch, New Zealand

Abstract

Background: Insulin resistance is a significant risk factor in the pathogenesis of type 2 diabetes. This article presents pilot study results of the dynamic insulin sensitivity and secretion test (DISST), a high-resolution, low-intensity test to diagnose insulin sensitivity (IS) and characterize pancreatic insulin secretion in response to a (small) glucose challenge. This pilot study examines the effect of glucose and insulin dose on the DISST, and tests its repeatability. Methods: DISST tests were performed on 16 subjects randomly allocated to low (5 g glucose, 0.5 U insulin), medium (10 g glucose, 1 U insulin) and high dose (20 g glucose, 2 U insulin) protocols. Two or three tests were performed on each subject a few days apart. Results: Average variability in IS between low and medium dose was 10.3% ( p = .50) and between medium and high dose 6.0% ( p = .87). Geometric mean variability between tests was 6.0% (multiplicative standard deviation (MSD) 4.9%). Geometric mean variability in first phase endogenous insulin response was 6.8% (MSD 2.2%). Results were most consistent in subjects with low IS. Conclusions: These findings suggest that DISST may be an easily performed dynamic test to quantify IS with high resolution, especially among those with reduced IS.

Publisher

SAGE Publications

Subject

Biomedical Engineering,Bioengineering,Endocrinology, Diabetes and Metabolism,Internal Medicine

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