A Subcutaneous Insulin Pharmacokinetic Model for Computer Simulation in a Diabetes Decision Support Role: Validation and Simulation (2008)
Type of ContentJournal Article
PublisherUniversity of Canterbury. Mechanical Engineering.
Objective: The goal of this study was to validate a previously derived and identified physiological subcutaneous (SC) insulin absorption model for computer simulation in a clinical diabetes decision support role using published pharmacokinetic summary measures. Methods: Validation was performed using maximal plasma insulin concentration (Cmax) and time to maximal concentration (tmax) pharmacokinetic summary measures. Values were either reported or estimated from 37 pharmacokinetic studies over six modeled insulin types. A validation comparison was made to equivalent pharmacokinetic summary measures calculated from model generated curves fitted to respective plasma insulin concentration data. The validation result was a measure of goodness of fit. Validation for each reported study was classified into one of four cases. Results: Of 37 model fits, 22 were validated on both the Cmax and the tmax summary measures. Another 6 model fits were partially validated on one measure only due to lack of reporting on the second measure with errors to reported or estimated ranges of <12%. Another 7 studies could not be validated on either measure because of inadequate reported clinical data. Finally, 2 separate model fits to data from the same study failed the validation with 90 and 71% error on tmax only, which was likely caused by protocol-based error. No model fit failed the validation on both measures.
CitationWong, J., Chase, J.G., Hann, C.E., Shaw, G.M., Lotz, T.F., Lin, J., Le Compte, A.J. (2008) A Subcutaneous Insulin Pharmacokinetic Model for Computer Simulation in a Diabetes Decision Support Role: Validation and Simulation. Journal of Diabetes Science and Technology, 2(4), pp. 672-680.
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Keywordsdiabetes; compartmental models; hyperglycemia; insulin; blood glucose; simulation; subcutaneous injection; decision support
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