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    A Subcutaneous Insulin Pharmacokinetic Model for Computer Simulation in a Diabetes Decision Support Role: Validation and Simulation

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    Author
    Chase, J.G.
    Hann, C.E.
    Shaw, G.M.
    Lotz, T.F.
    Lin, J.
    Le Compte, A.J.
    Wong, J.
    Date
    2008
    Permanent Link
    http://hdl.handle.net/10092/2613

    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.

    Subjects
    diabetes
     
    compartmental models
     
    hyperglycemia
     
    insulin
     
    blood glucose
     
    simulation
     
    subcutaneous injection
     
    decision support
     
    Fields of Research::290000 Engineering and Technology::291500 Biomedical Engineering::291504 Biomechanical engineering
     
    Fields of Research::290000 Engineering and Technology::290500 Mechanical and Industrial Engineering::290501 Mechanical engineering
    Collections
    • Engineering: Journal Articles [935]
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