Performance and Safety of STAR Glycaemic Control in Neonatal Intensive Care: Further Clinical Results Including Pilot Results from a New Protocol Implementation (2014)
Type of ContentConference Contributions - Published
PublisherUniversity of Canterbury. Chemical and Process Engineering
University of Canterbury. Mechanical Engineering
Elevated blood glucose concentrations (BG) (Hyperglycaemia) are a common complication of prematurity in extremely low birth weight neonates in the neonatal intensive care unit (NICU), and are associated with increased mortality and morbidity. Insulin therapy allows glucose tolerance and weight gain to be increased. However, insulin therapy is commonly associated with a significant increase in low BG events (hypoglycaemia), which is also associated with adverse outcomes. Controlling BG levels via nutrition restriction reduces infant growth and is thus undesirable. STAR (Stochastic TARgeted) is a model-based glycaemic framework that mitigates the risks of hypoglycaemia through quantification of current insulin sensitivity and future variability. From August 2008 to December 2012 40 patients totaling 61 glycaemic episodes were treated with STAR in the NICU (STAR-NICU). Percentage time in the clinically targeted 4.0-8.0 mmol/L band was 62%, a 14% increase compared to retrospective data and hyperglycaemia (BG>10.0mmol/L) was halved. Overall incidence of severe hypoglycemia (BG<2.6 mmol/L) was slightly increased from 0.4% to 0.7%, and a concomitant increase in the number of patients experiencing severe hypoglycaemia (8 of 62 control episodes in comparison to 1 of 25 retrospective). Results from 5 patient episodes under the new STAR-GRYPHON protocol were significantly better, with 83% of measurements in the targeted band (35% better than retrospective data and 17% better than original STAR NICU protocols), and 0% incidence of BG<4.0 mmol/L. STAR-GRYPHON is expected to maintain this level of tight glycaemic control. Thus, model based control can be safely and effectively used to control BG in extremely premature infants in intensive care.
CitationDickson, J.L., Lynn, A., Gunn, C.A., Le Compte, A., Fisk, L., Shaw, G.M., Chase, J.G. (2014) Performance and Safety of STAR Glycaemic Control in Neonatal Intensive Care: Further Clinical Results Including Pilot Results from a New Protocol Implementation. Cape Town, South Africa: 19th World Congress of the International Federation of Automatic Control 2014 (IFAC), 24-29 Aug 2014.
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ANZSRC Fields of Research32 - Biomedical and clinical sciences::3202 - Clinical sciences::320208 - Endocrinology
32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive care
11 - Medical and Health Sciences::1114 - Paediatrics and Reproductive Medicine::111403 - Paediatrics
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Development and optimisation of stochastic targeted (STAR) glycaemic control for neonatal intensive care Dickson, J.L.; Le Compte, A.J.; Floyd, R.P.; Chase, Geoff; Lynn, A.; Shaw, Geoff (University of Canterbury. Mechanical Engineering, 2012)Hyperglycaemia is a common complication of prematurity and stress in neonatal intensive care units (NICUs). It has been linked to worsened outcomes and mortality. There is currently no universally accepted best practice ...
On the problem of patient specific endogenous glucose production in neonates on stochastic targeted (STAR) glycaemic control Dickson, J.L.; Hewett, J.N.; Gunn, C.A.; Lynn, A.; Shaw, Geoff; Chase, Geoff; Dickson, J.L. (University of Canterbury. Mechanical Engineering, 2013)Background: Stress and prematurity can both induce hyperglycaemia in the neonatal intensive care unit (NICU), which in turn is associated with worsened outcomes. Endogenous glucose production (EGP) is the formation of ...
Floyd, R.P.; Dickson, J.L.; Le Compte, A.J.; Chase, Geoff; Lynn, A.; Shaw, Geoff (University of Canterbury. Mechanical Engineering, 2012)Hyperglycaemia is a prevalent complication in the neonatal intensive care unit (NICU) and is associated with worsened outcomes. It occurs as a result of prematurity, under developed endogenous glucose regulatory systems ...