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A discrete Single Delay Model for the Intra-Venous Glucose Tolerance Test
BACKGROUND: Due to the increasing importance of identifying insulin resistance, a need exists to have a reliable mathematical model representing the glucose/insulin control system. Such a model should be simple enough to allow precise estimation of insulin sensitivity on a single patient, yet exhibi...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2072949/ https://www.ncbi.nlm.nih.gov/pubmed/17850652 http://dx.doi.org/10.1186/1742-4682-4-35 |
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author | Panunzi, Simona Palumbo, Pasquale De Gaetano, Andrea |
author_facet | Panunzi, Simona Palumbo, Pasquale De Gaetano, Andrea |
author_sort | Panunzi, Simona |
collection | PubMed |
description | BACKGROUND: Due to the increasing importance of identifying insulin resistance, a need exists to have a reliable mathematical model representing the glucose/insulin control system. Such a model should be simple enough to allow precise estimation of insulin sensitivity on a single patient, yet exhibit stable dynamics and reproduce accepted physiological behavior. RESULTS: A new, discrete Single Delay Model (SDM) of the glucose/insulin system is proposed, applicable to Intra-Venous Glucose Tolerance Tests (IVGTTs) as well as to multiple injection and infusion schemes, which is fitted to both glucose and insulin observations simultaneously. The SDM is stable around baseline equilibrium values and has positive bounded solutions at all times. Applying a similar definition as for the Minimal Model (MM) S(I )index, insulin sensitivity is directly represented by the free parameter K(xgI )of the SDM. In order to assess the reliability of Insulin Sensitivity determinations, both SDM and MM have been fitted to 40 IVGTTs from healthy volunteers. Precision of all parameter estimates is better with the SDM: 40 out of 40 subjects showed identifiable (CV < 52%) K(xgI )from the SDM, 20 out of 40 having identifiable S(I )from the MM. K(xgI )correlates well with the inverse of the HOMA-IR index, while S(I )correlates only when excluding five subjects with extreme S(I )values. With the exception of these five subjects, the SDM and MM derived indices correlate very well (r = 0.93). CONCLUSION: The SDM is theoretically sound and practically robust, and can routinely be considered for the determination of insulin sensitivity from the IVGTT. Free software for estimating the SDM parameters is available. |
format | Text |
id | pubmed-2072949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-20729492007-11-10 A discrete Single Delay Model for the Intra-Venous Glucose Tolerance Test Panunzi, Simona Palumbo, Pasquale De Gaetano, Andrea Theor Biol Med Model Research BACKGROUND: Due to the increasing importance of identifying insulin resistance, a need exists to have a reliable mathematical model representing the glucose/insulin control system. Such a model should be simple enough to allow precise estimation of insulin sensitivity on a single patient, yet exhibit stable dynamics and reproduce accepted physiological behavior. RESULTS: A new, discrete Single Delay Model (SDM) of the glucose/insulin system is proposed, applicable to Intra-Venous Glucose Tolerance Tests (IVGTTs) as well as to multiple injection and infusion schemes, which is fitted to both glucose and insulin observations simultaneously. The SDM is stable around baseline equilibrium values and has positive bounded solutions at all times. Applying a similar definition as for the Minimal Model (MM) S(I )index, insulin sensitivity is directly represented by the free parameter K(xgI )of the SDM. In order to assess the reliability of Insulin Sensitivity determinations, both SDM and MM have been fitted to 40 IVGTTs from healthy volunteers. Precision of all parameter estimates is better with the SDM: 40 out of 40 subjects showed identifiable (CV < 52%) K(xgI )from the SDM, 20 out of 40 having identifiable S(I )from the MM. K(xgI )correlates well with the inverse of the HOMA-IR index, while S(I )correlates only when excluding five subjects with extreme S(I )values. With the exception of these five subjects, the SDM and MM derived indices correlate very well (r = 0.93). CONCLUSION: The SDM is theoretically sound and practically robust, and can routinely be considered for the determination of insulin sensitivity from the IVGTT. Free software for estimating the SDM parameters is available. BioMed Central 2007-09-12 /pmc/articles/PMC2072949/ /pubmed/17850652 http://dx.doi.org/10.1186/1742-4682-4-35 Text en Copyright © 2007 Panunzi et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Panunzi, Simona Palumbo, Pasquale De Gaetano, Andrea A discrete Single Delay Model for the Intra-Venous Glucose Tolerance Test |
title | A discrete Single Delay Model for the Intra-Venous Glucose Tolerance Test |
title_full | A discrete Single Delay Model for the Intra-Venous Glucose Tolerance Test |
title_fullStr | A discrete Single Delay Model for the Intra-Venous Glucose Tolerance Test |
title_full_unstemmed | A discrete Single Delay Model for the Intra-Venous Glucose Tolerance Test |
title_short | A discrete Single Delay Model for the Intra-Venous Glucose Tolerance Test |
title_sort | discrete single delay model for the intra-venous glucose tolerance test |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2072949/ https://www.ncbi.nlm.nih.gov/pubmed/17850652 http://dx.doi.org/10.1186/1742-4682-4-35 |
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