Evaluation of pharmacokinetic model designs for subcutaneous infusion of insulin aspart

Publication: Research - peer-reviewJournal article – Annual report year: 2017

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Effective mathematical modelling of continuous subcutaneous infusion pharmacokinetics should aid understanding and control in insulin therapy. Thorough analysis of candidate model performance is important for selecting the appropriate models. Eight candidate models for insulin pharmacokinetics included a range of modelled behaviours, parameters and complexity. The models were compared using clinical data from subjects with type 1 diabetes with continuous subcutaneous insulin infusion. Performance of the models was compared through several analyses: R2 for goodness of fit; the Akaike Information Criterion; a bootstrap analysis for practical identifiability; a simulation exercise for predictability. The simplest model fit poorly to the data (R2 = 0.53), had the highest Akaike score, and worst prediction. Goodness of fit improved with increasing model complexity (R2 = 0.85–0.92) but Akaike scores were similar for these models. Complexity increased practical non-identifiability, where small changes in the dataset caused large variation (CV > 10%) in identified parameters in the most complex models. Best prediction was achieved in a relatively simple model. Some model complexity was necessary to achieve good data fit but further complexity introduced practical non-identifiability and worsened prediction capability. The best model used two linear subcutaneous compartments, an interstitial and plasma compartment, and two identified variables for interstitial clearance and subcutaneous transfer rate. This model had optimal performance trade-off with reasonable fit (R2 = 0.85) and parameterisation, and best prediction and practical identifiability (CV < 2%).

Original languageEnglish
JournalJournal of Pharmacokinetics and Pharmacodynamics
Volume44
Issue number5
Pages (from-to)477-489
ISSN1567-567X
DOIs
StatePublished - 22 Aug 2017
CitationsWeb of Science® Times Cited: 0

    Keywords

  • Continuous subcutaneous insulin infusion, Goodness of fit, Parameter identification, Pharmacokinetic modelling, Practical identifiability, Type 1 diabetes
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