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Mathematical modelling of glucose-insulin system behaviour in hospital tengku ampuan afzan intensive care unit patients

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dc.contributor.authorJamaludin U.K.en_US
dc.contributor.authorSuhaimi F.M.en_US
dc.contributor.authorRazak N.N.A.en_US
dc.contributor.authorDzaharudin F.en_US
dc.contributor.authorRalib A.M.en_US
dc.contributor.authorMat Nor M.B.en_US
dc.contributor.authorid55330889600en_US
dc.contributor.authorid36247893200en_US
dc.contributor.authorid37059587300en_US
dc.contributor.authorid35219916100en_US
dc.contributor.authorid37031770900en_US
dc.contributor.authorid57226799207en_US
dc.date.accessioned2023-05-29T06:13:17Z
dc.date.available2023-05-29T06:13:17Z
dc.date.issued2016
dc.description.abstractMathematical modelling of glucose-insulin system is significantly important to understand the body regulation control, to analyze experimental data based on clinical trials, to identify and quantify relevant physiological parameters, to design proper clinical trials and to assess diabetes therapies. In general, critically ill patients with blood glucose concentrations between 10.0 to 12.2 mmol/l is identified to develop an acute hyperglycaemia or high blood glucose (BG).Thus, to monitor hyperglycaemia among critically ill patients, this study is focused on observing the glucose-insulin system behaviour based on 40 patients' clinical data collected in Hospital Tengku Ampuan Afzan, Kuantan, Pahang with clinically validated mathematical glucose-insulin model. By using this model, a critical model-based parameter known as insulin sensitivity (SI) that illustrates patient's severity were identified hourly for all patients whose on insulin infusion therapy protocol for average four to six days. The results show that a BG normal distribution is attained with median kurtosis of 2.72. While, the 40 patient-specific SI indicate that an outliers-prone distribution occurred as kurtosis 3.96. Thus, abrupt changes in SI is basically due to chaotic interaction between blood glucose and insulin concentrations in bloodstreams. Also, the glucose-insulin behaviour pattern among these 40 critically ill patients might be varied due to their main diagnostics illness such as acute kidney failure, cardiovascular disease, etc. Overall, these results might assist clinicians and researchers to understand the glucose-insulin behaviour based on patient's severity illness and helps to inform glycaemic control protocol development in a larger group of critically ill patients. � 2006-2016 Asian Research Publishing Network (ARPN).en_US
dc.description.natureFinalen_US
dc.identifier.epage10903
dc.identifier.issue18
dc.identifier.scopus2-s2.0-85010369717
dc.identifier.spage10899
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85010369717&partnerID=40&md5=9f539d7a88d9ffbf4c4c1e8dbdabdc29
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22907
dc.identifier.volume11
dc.publisherAsian Research Publishing Networken_US
dc.sourceScopus
dc.sourcetitleARPN Journal of Engineering and Applied Sciences
dc.titleMathematical modelling of glucose-insulin system behaviour in hospital tengku ampuan afzan intensive care unit patientsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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