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    Modeling the glucose regulatory system in extreme preterm infants (2011)

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    12627897_Modeling the glucose regulatory system in neonatal intensive care REVIEW2a.pdf (158.8Kb)
    Type of Content
    Journal Article
    UC Permalink
    http://hdl.handle.net/10092/6320
    
    Publisher's DOI/URI
    https://doi.org/10.1016/j.cmpb.2010.05.006
    
    Publisher
    University of Canterbury. Electrical and Computer Engineering
    University of Canterbury. Mechanical Engineering
    ISSN
    0169-2607
    Collections
    • Engineering: Journal Articles [1562]
    Authors
    Le Compte, A.J.
    Chase, Geoff cc
    Russell, G.
    Lynn, A.
    Hann, C.E.
    Shaw, Geoff cc
    Wong, X-W.
    Blakemore, A.
    Lin, J.
    show all
    Abstract

    BACKGROUND: Premature infants represent a significant proportion of the neonatal intensive care population. Blood glucose homeostasis in this group is often disturbed by immaturity of endogenous regulatory systems and the stress of their condition. Hypo- and hyperglycemia are frequently reported in very low birth weight infants, and more mature infants often experience low levels of glycemia. A model capturing the unique fundamental dynamics of the neonatal glucose regulatory system could be used to develop better blood glucose control methods. METHODS: A metabolic system model is adapted from adult critical care to the unique physiological case of the neonate. Integral-based fitting methods were used to identify time-varying insulin sensitivity and non-insulin mediated glucose uptake profiles. The clinically important predictive ability of the model was assessed by assuming insulin sensitivity was constant over prediction intervals of 1, 2 and 4 hours forward and comparing model-simulated versus actual clinical glucose values for all recorded interventions. The clinical data included 1,091 glucose measurements over 3,567 total patient hours, along with all associated insulin and nutritional infusion data, for N=25 total cases. Ethics approval was obtained from the Upper South A Regional Ethics Committee for this study. RESULTS: The identified model had a median absolute percentage error of 2.4% [IQR: 0.9%-4.8%] between model-fitted and clinical glucose values. Median absolute prediction errors at 1, 2 and 4-hour intervals were 5.2% [IQR: 2.5%-10.3%], 9.4% [IQR: 4.5%-18.4%] and 13.6% [IQR: 6.3%-27.6%] respectively. CONCLUSIONS: The model accurately captures and predicts the fundamental dynamic behaviors of the neonatal metabolism well enough for effective clinical decision support in glycemic control. The adaptation from adult to a neonatal case is based on data from literature. Low prediction errors and very low fitting errors indicate that the fundamental dynamics of glucose metabolism in both premature neonates and critical care adults can be described by similar mathematical models.

    Citation
    Le Compte, A.J., Chase, J.G., Russell, G., Lynn, A., Hann, C.E., Shaw, G.M., Wong, X-W., Blakemore, A., Lin, J. (2011) Modeling the glucose regulatory system in extreme preterm infants. Computer Methods and Programs in Biomedicine, 102(3), pp. 253-266.
    This citation is automatically generated and may be unreliable. Use as a guide only.
    Keywords
    hyperglycemia; NICU; premature birth, Blood Glucose; insulin
    ANZSRC Fields of Research
    32 - Biomedical and clinical sciences::3208 - Medical physiology::320803 - Systems physiology
    32 - Biomedical and clinical sciences::3202 - Clinical sciences::320208 - Endocrinology
    32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive care
    40 - Engineering::4003 - Biomedical engineering::400303 - Biomechanical engineering
    Rights
    https://hdl.handle.net/10092/17651

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    • Development of Blood Glucose Control for Extremely Premature Infants 

      Le Compte, A.J.; Chase, Geoff; Lynn, A.; Hann, C.E.; Shaw, Geoff; Lin, J. (University of Canterbury. Mechanical Engineering, 2011)
      Extremely premature neonates often experience hyperglycaemia, which has been linked to increased mortality and worsened outcomes. Insulin therapy can assist in controlling blood glucose levels and promoting needed growth. ...
    • Insulin Resistance in ICU Patients: Women Have Stronger Metabolic Response 

      Uyttendaele V; Gottlieb R; Shaw, Geoff; Desaive T; Knopp, Jennifer; Chase, Geoff (Elsevier BV, 2020)
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    • Persistent Hyperglycemia in Extremely Low Birth Weight Premature Infants 

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