Scinovex
articleTop 10% cited

Quantitative estimation of insulin sensitivity.

American Journal of Physiology-Endocrinology and Metabolism · 1979 · Vol. 236(6) · pp. E667–E667

Abstract

We have evaluated the feasibility of using a mathematical model of glucose disappearance to estimate insulin sensitivity. Glucose was injected into conscious dogs at 100, 200, or 300 mg/kg. The measured time course of insulin was regarded as the "input," and the falling glucose concentration as the "output" of the physiological system storing and using glucose. Seven mathematical models of glucose uptake were compared to identify the representation most capable of simulating glucose disappearance. One specific nonlinear model was superior in that it 1) predicted the time course of glucose after glucose injection, 2) had four parameters that could be precisely estimated, and 3) described individual experiments with similar parameter values. Insulin sensitivity index (SI), defined as the dependence of fractional glucose disappearance on plasma insulin, was the ratio of two parameters of the chosen model and could be estimated with good reproducibility from the 300 mg/kg injection experiments (SI = 7.00 X 10(-4) +/- 24% (coefficient of variation) min-1/(microU/ml) (n = 8)). Thus, from a single glucose injection it is possible to obtain a quantitative index of insulin sensitivity that may have clinical applicability.

Diabetes Management and ResearchInsulinInsulin sensitivityReproducibilityPlasma glucoseSensitivity (control systems)Internal medicineEndocrinologyCoefficient of variationChemistryInsulin resistance

MeSH terms

AnimalsBlood GlucoseDogsInsulinMathematicsModels, Biological
Citations
1,849
FWCI
4.14
field-weighted impact
References
25
Percentile
94%
vs. same field & year
Citations per year
References
Coated Charcoal Immunoassay of Insulin
The Journal of Clinical Endocrinology & Metabolism · 1965 · 2,998 citations
A new look at the statistical model identification
IEEE Transactions on Automatic Control · 1974 · 49,965 citations
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.