Glycaemic State Analysis from Continuous Glucose Monitoring Measurements in Infants

Show simple item record Zhou, T en Knopp, J en McKinlay, Christopher en Gamble, Gregory en Harding, Jane en Chase, JG en
dc.coverage.spatial São Paulo, Brazil en 2019-05-28T21:58:04Z en 2018-01-01 en
dc.identifier.citation IFAC Proceedings Volumes (IFAC-PapersOnline). International Federation of Automatic Control (IFAC). 51: 276-281. 01 Jan 2018 en
dc.identifier.issn 1474-6670 en
dc.identifier.uri en
dc.description.abstract Neonatal hypoglycaemia is common in at-risk infants and can cause adverse neurologic outcomes in later life. Continuous glucose monitoring (CGM) technology offers a way to continuously monitor patient condition, helping to detect hypoglycaemia as well as provide insight into the general glycaemic state of the patient. Characterising Glycaemic States can be easily done by eye, but no simple, clinically relevant algorithm exists to do this characterisation analytically or computationally. This paper presents such an algorithm to characterise Glycaemic States and detect State Changes. This algorithm was developed on a cohort of 366 infants, using a total of 12356 hours of CGM sensor data. State Changes were defined as an intersection between a 6-hour rolling average of the CGM trace and the average of the whole interstitial glucose CGM trace, with a 5 hour minimum crossover threshold defining a single State. The majority of infants were found to have experienced less than 2 State Changes in the first 48 hours of birth (279 of 366 patients, 76%). The median number of State Changes per day was 0.68 [IQR: 0.60, 1.14], while the median absolute change in IG over a State Change was 0.6 mmol/L [IQR: 0.4, 0.9 mmol/L]. Visually, the majority of algorithmically characterised State Changes matched CGM traces characterised by eye. Future use of the algorithm could associate the State Changes with clinical outcomes. en
dc.publisher International Federation of Automatic Control (IFAC) en
dc.relation.ispartof 10th IFAC Symposium on Biological and Medical Systems BMS 2018 en
dc.relation.ispartofseries IFAC Proceedings Volumes (IFAC-PapersOnline) en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri en
dc.rights.uri en
dc.title Glycaemic State Analysis from Continuous Glucose Monitoring Measurements in Infants en
dc.type Conference Item en
dc.identifier.doi 10.1016/j.ifacol.2018.11.629 en
pubs.issue 27 en
pubs.begin-page 276 en
pubs.volume 51 en
dc.rights.holder Copyright: IFAC en
pubs.end-page 281 en
pubs.finish-date 2018-09-05 en
pubs.publication-status Published en
pubs.start-date 2018-09-03 en
dc.rights.accessrights en
pubs.subtype Proceedings en
pubs.elements-id 758864 en Liggins Institute en LiFePATH en Medical and Health Sciences en School of Medicine en Medicine Department en
dc.identifier.eissn 2405-8963 en
pubs.record-created-at-source-date 2019-09-09 en

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