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Impact of Retrospective Calibration Algorithms on Hypoglycemia Detection in Newborn Infants Using Continuous Glucose Monitoring (2012)

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Type of Content
Journal Article
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http://hdl.handle.net/10092/8829

Publisher's DOI/URI
https://doi.org/10.1089/dia.2012.0111

Publisher
University of Canterbury. Mechanical Engineering
ISSN
1520-9156
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Authors
Signal, M.K.
Le Compte, A.J.
Harris, D.L.
Weston, P.J.
Harding, J.E.
Chase, Geoff cc
Abstract

Neonatal hypoglycaemia is common and may cause serious brain injury. Diagnosis is by blood glucose (BG) measurements, often taken several hours apart. Continuous glucose monitoring (CGM) could improve hypoglycaemia detection, while reducing the number of BG measurements. Calibration algorithms convert sensor signals into CGM output. Thus, these algorithms directly affect measures used to quantify hypoglycaemia.

Citation
Signal, M.K., Le Compte, A.J., Harris, D.L., Weston, P.J., Harding, J.E., Chase, J.G. for the CHYLD Study Group (2012) Impact of Retrospective Calibration Algorithms on Hypoglycemia Detection in Newborn Infants Using Continuous Glucose Monitoring. Diabetes Technology & Therapeutics (DT&T), 14(10), pp. 883-890.
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Keywords
continuous glucose monitor; neonatal; intensive care unit; hypoglycaemia; recalibration; algorithm
ANZSRC Fields of Research
40 - Engineering::4003 - Biomedical engineering::400303 - Biomechanical engineering
11 - Medical and Health Sciences::1114 - Paediatrics and Reproductive Medicine::111403 - Paediatrics
32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive care
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