Model predictive glycaemic regulation in critical illness using insulin and nutrition input: a pilot study
dc.contributor.author | Wong, X-W. | |
dc.contributor.author | Chase, Geoff | |
dc.contributor.author | Shaw, Geoff | |
dc.contributor.author | Hann, C.E. | |
dc.contributor.author | Lotz, T. | |
dc.contributor.author | Lin, J. | |
dc.contributor.author | Singh-Levett, I. | |
dc.contributor.author | Hollingsworth, L.J. | |
dc.contributor.author | Wong, O.S.W. | |
dc.contributor.author | Andreassen, S. | |
dc.date.accessioned | 2007-05-22T04:41:46Z | |
dc.date.available | 2007-05-22T04:41:46Z | |
dc.date.issued | 2006 | en |
dc.description.abstract | 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. [26], Chee et al. [27], and Chase et al. [18, 28]. Adaptive bolus-based control using insulin-alone by Chase et al. [18], 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 | en |
dc.identifier.citation | Wong, 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. | en |
dc.identifier.doi | https://doi.org/10.1016/j.medengphy.2005.10.015 | |
dc.identifier.issn | 1350-4533 | |
dc.identifier.uri | http://hdl.handle.net/10092/67 | |
dc.language.iso | en | |
dc.publisher | University of Canterbury. Chemical and Process Engineering. | en |
dc.publisher | University of Canterbury. Mechanical Engineering. | en |
dc.rights.uri | https://hdl.handle.net/10092/17651 | en |
dc.subject | Critical care | en |
dc.subject | Hyperglycemia | en |
dc.subject | Retrospective studies | en |
dc.subject | ICU | en |
dc.subject | Blood glucose | en |
dc.subject | Insulin | en |
dc.subject.marsden | Fields of Research::290000 Engineering and Technology::291500 Biomedical Engineering::291504 Biomechanical engineering | en |
dc.subject.marsden | Fields of Research::320000 Medical and Health Sciences | en |
dc.title | Model predictive glycaemic regulation in critical illness using insulin and nutrition input: a pilot study | en |
dc.type | Journal Article |
Files
Original bundle
1 - 1 of 1