The minimal model of glucose disposal in the analysis of glucose effectiveness: importance of early insulin data.
Abstract Background: Glucose effectiveness (S(g)) is an important component in glucose tolerance. Values of S(g) using 'open loop' glucose kinetic computer programs are usually higher compared to closed loop method (CLM) programs that incorporate insulin secretion modeling. We aimed to test whether...
| Publicado en: | Diabetes Technology & Therapeutics Vol. 11; no. 1; pp. 25 - 31 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Mary Ann Liebert, Inc.
Jan2009
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105622742&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105622742 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15209156 N3C jtl: Diabetes Technology & Therapeutics issn: 15209156 maglogo: N pubinfo: dt: Jan2009 vid: 11 iid: 1 pid: 1365 pub: Mary Ann Liebert, Inc. place: New Rochelle, New York artinfo: ui: 105622742 2010165565 10.1089/dia.2008.0018 NLM19132852 105622742 ppf: 25 ppct: 6 formats: tig: atl: The minimal model of glucose disposal in the analysis of glucose effectiveness: importance of early insulin data. aug: au: Gooley JL Walters JM Ward GM affil: Department of Medicine, St. Vincent's Hospital, University of Melbourne, Melbourne, Victoria, Australia. sug: subj: Blood Glucose Metabolism Glucose Tolerance Test Glucose Metabolism Insulin Pharmacodynamics Blood Glucose Drug Effects Fasting Insulin Blood Insulin Models, Biological Reference Values ab: Abstract Background: Glucose effectiveness (S(g)) is an important component in glucose tolerance. Values of S(g) using 'open loop' glucose kinetic computer programs are usually higher compared to closed loop method (CLM) programs that incorporate insulin secretion modeling. We aimed to test whether these differences are caused by (1) inclusion of insulin secretion modeling or (2) the method of representing plasma insulin values in the first few minutes of the frequently sampled intravenous glucose tolerance test (FSIGT). Methods: FSIGTs without insulin supplementation were performed in six healthy volunteers, and the Bergman minimal model was fitted to the data using the simulation and modeling program SAAM. Results: The CLM, which represents the insulin data in the first few minutes by a best-fit curve extrapolated to the y-axis, yielded a significantly lower S(g) than the approach similar to the computer program MINMOD, where the first few minutes of insulin data are represented by a line joining the basal to the peak values (1.55 +/- 0.28 vs. 1.97 +/- 0.27 [SE] x 10(-2)/min, P < 0.05). This second analysis was then repeated while forcing the program to represent the insulin data after the insulin peak in the same way as in the CLM, obtaining an almost identical result for S(g) (1.99 +/- 0.29). Insulin sensitivity was not significantly affected. Conclusions: The higher S(g) estimates are caused by the method of representing the first few minutes of insulin data rather than by the incorporation of insulin secretion modeling. It is, therefore, important to know how the early insulin data are represented when comparing results from different computer modeling programs. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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