Stochastic insulin sensitivity models for tight glycaemic control (2006)
Type of ContentConference Contributions - Published
PublisherUniversity of Canterbury. Mathematics and Statistics.
University of Canterbury. Mechanical Engineering.
AuthorsChase, J.G., Lin, J., Lee, D.S., Wong, J., Hann, C.E., Shaw, G.M.show all
Hyperglycaemia is prevalent in critical care, and tight control reduces mortality. Targeted glycaemic control can be achieved by frequent fitting and prediction of a modelled insulin sensitivity index, SI. However, this parameter varies significantly in the critically ill as their condition evolves. A 3-D stochastic model of hourly SI variability is constructed using retrospective data from 18 critical care patients. The model provides a blood glucose level probability distribution one hour following an intervention, enabling accurate prediction and more optimal glycaemic control.
CitationChase, J.G., Lin, J., Lee, D.S., Wong, J., Hann, C.E., Shaw, G.M. (2006) Stochastic insulin sensitivity models for tight glycaemic control. Reims, France: 6th IFAC Symposium on Modelling and Control in Biomedical Systems (Including Biological Sciences) (MCBMS'06), 19-22 Sep 2006. Modelling and Control in Biomedical Systems 2006 (including Biological Systems), 345-350.
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KeywordsBiomedical Control; Non-Linear Models; Physiological Models; Physiology; Stochastic Modelling; Markov Models; Medical Systems
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