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Licensed Unlicensed Requires Authentication Published by De Gruyter November 3, 2016

Model-based glycaemic control: methodology and initial results from neonatal intensive care

  • Jennifer L. Dickson EMAIL logo , J. Geoffrey Chase , Adrienne Lynn and Geoffrey M. Shaw


Very/extremely premature infants often experience glycaemic dysregulation, resulting in abnormally elevated (hyperglycaemia) or low (hypoglycaemia) blood glucose (BG) concentrations, due to prematurity, stress, and illness. STAR-GRYPHON is a computerised protocol that utilises a model-based insulin sensitivity parameter to directly tailor therapy for individual patients and their changing conditions, unlike other common insulin protocols in this cohort. From January 2013 to January 2015, 13 patients totalling 16 hyperglycaemic control episodes received insulin under STAR-GRYPHON. A significant improvement in control was achieved in comparison to a retrospective cohort, with a 26% absolute improvement in BG within the targeted range and no hypoglycaemia. This improvement was obtained predominantly due to the reduction of hyperglycaemia (%BG>10.0 mmol/l: 5.6 vs. 17.7%, p<0.001), and lowering of the median per-patient BG [6.9 (6.1–7.9) vs. 7.8 (6.6–9.1) mmol/l, p<0.001, Mann-Witney U test]. While cohort-wide control results show good control overall, there is high intra-patient variability in BG behaviour, resulting in overly conservative treatments for some patients. Patient insulin sensitivity differs between and within patients over time, with some patients having stable insulin sensitivity, while others change rapidly. These results demonstrate the trade-off between safety and performance in a highly variable and fragile cohort.

Acknowledgments and conflicts of interest

The authors declare that they have no conflicts of interests. Funding was provided from HRSC grants (Christchurch, New Zealand) and post-graduate study grants from the University of Canterbury.


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Received: 2016-2-29
Accepted: 2016-9-29
Published Online: 2016-11-3
Published in Print: 2017-4-1

©2017 Walter de Gruyter GmbH, Berlin/Boston

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