Robert G Hahn, Stefan Ljunggren, Filip Larsen, Thomas Nyström
{"title":"A simple intravenous glucose tolerance test for assessment of insulin sensitivity.","authors":"Robert G Hahn, Stefan Ljunggren, Filip Larsen, Thomas Nyström","doi":"10.1186/1742-4682-8-12","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The aim of the study was to find a simple intravenous glucose tolerance test (IVGTT) that can be used to estimate insulin sensitivity.</p><p><strong>Methods: </strong>In 20 healthy volunteers aged between 18 and 51 years (mean, 28) comparisons were made between kinetic parameters derived from a 12-sample, 75-min IVGTT and the M(bw) (glucose uptake) obtained during a hyperinsulinemic euglycemic glucose clamp. Plasma glucose was used to calculate the volume of distribution (V(d)) and the clearance (CL) of the injected glucose bolus. The plasma insulin response was quantified by the area under the curve (AUC(ins)). Uptake of glucose during the clamp was corrected for body weight (M(bw)).</p><p><strong>Results: </strong>There was a 7-fold variation in M(bw). Algorithms based on the slope of the glucose-elimination curve (CL/V(d)) in combination with AUC(ins) obtained during the IVGTT showed statistically significant correlations with M(bw), the linearity being r(2) = 0.63-0.83. The best algorithms were associated with a 25-75th prediction error ranging from -10% to +10%. Sampling could be shortened to 30-40 min without loss of linearity or precision.</p><p><strong>Conclusion: </strong>Simple measures of glucose and insulin kinetics during an IVGTT can predict between 2/3 and 4/5 of the insulin sensitivity.</p>","PeriodicalId":51195,"journal":{"name":"Theoretical Biology and Medical Modelling","volume":" ","pages":"12"},"PeriodicalIF":0.0000,"publicationDate":"2011-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/1742-4682-8-12","citationCount":"34","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical Biology and Medical Modelling","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/1742-4682-8-12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 34
Abstract
Background: The aim of the study was to find a simple intravenous glucose tolerance test (IVGTT) that can be used to estimate insulin sensitivity.
Methods: In 20 healthy volunteers aged between 18 and 51 years (mean, 28) comparisons were made between kinetic parameters derived from a 12-sample, 75-min IVGTT and the M(bw) (glucose uptake) obtained during a hyperinsulinemic euglycemic glucose clamp. Plasma glucose was used to calculate the volume of distribution (V(d)) and the clearance (CL) of the injected glucose bolus. The plasma insulin response was quantified by the area under the curve (AUC(ins)). Uptake of glucose during the clamp was corrected for body weight (M(bw)).
Results: There was a 7-fold variation in M(bw). Algorithms based on the slope of the glucose-elimination curve (CL/V(d)) in combination with AUC(ins) obtained during the IVGTT showed statistically significant correlations with M(bw), the linearity being r(2) = 0.63-0.83. The best algorithms were associated with a 25-75th prediction error ranging from -10% to +10%. Sampling could be shortened to 30-40 min without loss of linearity or precision.
Conclusion: Simple measures of glucose and insulin kinetics during an IVGTT can predict between 2/3 and 4/5 of the insulin sensitivity.
期刊介绍:
Theoretical Biology and Medical Modelling is an open access peer-reviewed journal adopting a broad definition of "biology" and focusing on theoretical ideas and models associated with developments in biology and medicine. Mathematicians, biologists and clinicians of various specialisms, philosophers and historians of science are all contributing to the emergence of novel concepts in an age of systems biology, bioinformatics and computer modelling. This is the field in which Theoretical Biology and Medical Modelling operates. We welcome submissions that are technically sound and offering either improved understanding in biology and medicine or progress in theory or method.