Stochastic modelling of insulin sensitivity variability in critical care
Type of content
Conference Contributions - Published
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Publisher's DOI/URI
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Degree name
Publisher
University of Canterbury. Mathematics and Statistics.
University of Canterbury. Mechanical Engineering.
University of Canterbury. Mechanical Engineering.
Journal Title
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Volume Title
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Date
2005
Authors
Lin, J.
Lee, D.
Chase, Geoff
Shaw, Geoff
Hann, C.E.
Lotz, T.
Wong, X-W.
Abstract
Hyperglycaemia is prevalent in critical care, and tight control can reduce mortality by 29 - 45%. Targeted glucose control can be achieved by frequent fitting and prediction of a modelled insulin sensitivity index, SI. This parameter varies significantly in the critically ill due to condition evolution and drug therapies. A 3-D stochastic model of hourly SI variability is constructed using retrospective data from 18 long term critical care patients. The model can be used to produce the blood glucose level probability distribution one hour following a known insulin and/or nutrition intervention. Thus, it enables accurate prediction for glycemic control based on confidence intervals.
Description
Citation
Lin, J., Lee, D., Chase, J.G., Shaw, G.M., Hann, C.E., Lotz, T., Wong, X.W. (2005) Stochastic modelling of insulin sensitivity variability in critical care. Singapore: 12th International Conference On Biomedical Engineering, 7-10 Dec 2005. 4A1-05, 4 pp.
Keywords
Stochastic Markov modelling, Insulin sensitivity, Blood glucose, Intensive care, Adaptive control