Model predictive glycaemic regulation in critical illness using insulin and nutrition input: a pilot study (2006)
Type of ContentJournal Article
PublisherUniversity of Canterbury. Chemical and Process Engineering.
University of Canterbury. Mechanical Engineering.
This paper develops and presents a pilot study of a long-term controller for safe regulation of glycaemia under elevated insulin resistance and glucose intolerance in critically ill patients by modulating enteral nutrition inputs in addition to conventional basal-bolus intravenous insulin therapy. Clinical proof-of-concept pilot trials of the algorithm are performed which show the algorithm adaptability to time-varying intraas well as inter-patient variability in condition while requiring relatively infrequent glucose measurement. This research is a step towards randomized, comparative cohort studies of clinical outcomes using the developed protocol. Previous blood glucose control research includes controlled experiments in insulin infusion by Hovorka et al. , Chee et al. , and Chase et al. [18, 28]. Adaptive bolus-based control using insulin-alone by Chase et al. , is the basis of this work. The primary difference in this research is the improvement in control under elevated insulin resistance by modulation of nutritional support in addition to insulin input
CitationWong, X.W., Chase, J.G., Shaw, G.M., Hann, C.E., Lotz, T., Lin, J., Singh-Levett, I., Hollingsworth, L.J., Wong, O.S.W., Andreassen, S. (2006) Model predictive glycaemic regulation in critical illness using insulin and nutrition input: a pilot study. Medical Engineering and Physics, 28(7), pp. 665-681.
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KeywordsCritical care; Hyperglycemia; Retrospective studies; ICU; Blood glucose; Insulin
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Multi-input stochastic prediction of insulin sensitivity for tight glycaemic control using insulin sensitivity and blood glucose data Davidson S; Pretty C; Uyttendaele V; Knopp J; Desaive T; Chase, Geoff (Elsevier BV, 2019)Background: Glycaemic control in the intensive care unit is dependent on effective prediction of patient insulin sensitivity (SI). The stochastic targeted (STAR) controller uses a 2D stochastic model for prediction, with ...
Model-based insulin-nutrition administration for glycemic control in Malaysian critical care: First pilot trial Abu-Samah A; Ahamad NH; Razak NN; Suhaimi FM; Jamaluddin UK; Ralib AM; Mat-Nor MB; Pretty CG; Dickson JL; Chase, Geoff (2018)© 2018, Springer Science+Business Media Singapore. Stress-induced hyperglycemia is prevalent in critical care, even in patients with no history of diabetes. Control of blood glucose level with tight insulin therapy has ...
Chase, Geoff; Wong, J.; Lin, J.; LeCompte, A.; Lotz, T.; Lonergan, T.; Willacy, M.B.; Hann, C.E.; Shaw, Geoff (University of Canterbury. Mathematics and Statistics.University of Canterbury. Mechanical Engineering., 2006)A new insulin and nutrition control method for tight glycaemic control in critical care is presented from concept to clinical trials to clinical practice change. The primary results show that the method can provide very ...