Reducing the Impact of Insulin Sensitivity Variability on Glycaemic Outcomes Using Separate Stochastic Models within the STAR glycaemic protocol (2014)
Type of ContentJournal Article
PublisherUniversity of Canterbury. Mechanical Engineering
The metabolism of critically ill patients evolves dynamically over time. Post critical insult, levels of counter-regulatory hormones are significantly elevated, but decrease rapidly over the first 12–48 hours in the intensive care unit (ICU). These hormones have a direct physiological impact on insulin sensitivity (SI). Understanding the variability of SI is important for safely managing glycaemic levels and understanding the evolution of patient condition. The objective of this study is to assess the evolution of SI over the first two days of ICU stay, and using this data, propose a separate stochastic model to reduce the impact of SI variability during glycaemic control using the STAR glycaemic control protocol.
CitationThomas, F.L., Pretty, C.G., Fisk, L., Shaw, G.M., Chase, J.G., Desaive, T. (2014) Reducing the Impact of Insulin Sensitivity Variability on Glycaemic Outcomes Using Separate Stochastic Models within the STAR glycaemic protocol. Biomedical Engineering Online, 13(43), pp. 1-10.
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Keywordsinsulin sensitivity; intensive care; glycaemia; model-based control
ANZSRC Fields of Research32 - Biomedical and clinical sciences::3202 - Clinical sciences::320208 - Endocrinology
32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive care
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