Mathematical Modelling of Glucose-Insulin System Behaviour in Hospital Tengku Ampuan Afzan Intensive Care Unit Patients

Mathematical 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....

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Main Authors: Ummu Kulthum, Jamaludin, Fatanah, M. Suhaimi, Normy Norfiza, A. Razak, Fatimah, Dzaharudin, Azrina, M. Ralib, Mohd Basri, Mat Nor
Format: Article
Language:English
English
Published: Asian Research Publishing Network (ARPN) 2016
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Online Access:http://umpir.ump.edu.my/id/eprint/10748/
http://umpir.ump.edu.my/id/eprint/10748/
http://umpir.ump.edu.my/id/eprint/10748/1/%5BThe%20Final%20Version%5D%20Paper%20ID%20733%20MATHEMATICAL%20MODELLING%20OF%20GLUCOSE-INSULIN%20SYSTEM%20BEHAVIOUR%20IN%20HOSPITAL%20TENGKU%20AMPUAN%20AFZAN%20INTENSIVE%20CARE%20UNIT%20PATIENTS.pdf
http://umpir.ump.edu.my/id/eprint/10748/7/fkm-2015-ummu-mathematical%20modelling.pdf
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spelling ump-107482019-07-17T02:50:51Z http://umpir.ump.edu.my/id/eprint/10748/ Mathematical Modelling of Glucose-Insulin System Behaviour in Hospital Tengku Ampuan Afzan Intensive Care Unit Patients Ummu Kulthum, Jamaludin Fatanah, M. Suhaimi Normy Norfiza, A. Razak Fatimah, Dzaharudin Azrina, M. Ralib Mohd Basri, Mat Nor Q Science (General) T Technology (General) TJ Mechanical engineering and machinery Mathematical 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 diagnotics 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. Asian Research Publishing Network (ARPN) 2016 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/10748/1/%5BThe%20Final%20Version%5D%20Paper%20ID%20733%20MATHEMATICAL%20MODELLING%20OF%20GLUCOSE-INSULIN%20SYSTEM%20BEHAVIOUR%20IN%20HOSPITAL%20TENGKU%20AMPUAN%20AFZAN%20INTENSIVE%20CARE%20UNIT%20PATIENTS.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/10748/7/fkm-2015-ummu-mathematical%20modelling.pdf Ummu Kulthum, Jamaludin and Fatanah, M. Suhaimi and Normy Norfiza, A. Razak and Fatimah, Dzaharudin and Azrina, M. Ralib and Mohd Basri, Mat Nor (2016) Mathematical Modelling of Glucose-Insulin System Behaviour in Hospital Tengku Ampuan Afzan Intensive Care Unit Patients. ARPN Journal of Engineering and Applied Sciences, 11 (18). pp. 10899-10903. ISSN 1819-6608 http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0916_5006.pdf
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic Q Science (General)
T Technology (General)
TJ Mechanical engineering and machinery
spellingShingle Q Science (General)
T Technology (General)
TJ Mechanical engineering and machinery
Ummu Kulthum, Jamaludin
Fatanah, M. Suhaimi
Normy Norfiza, A. Razak
Fatimah, Dzaharudin
Azrina, M. Ralib
Mohd Basri, Mat Nor
Mathematical Modelling of Glucose-Insulin System Behaviour in Hospital Tengku Ampuan Afzan Intensive Care Unit Patients
description Mathematical 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 diagnotics 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.
format Article
author Ummu Kulthum, Jamaludin
Fatanah, M. Suhaimi
Normy Norfiza, A. Razak
Fatimah, Dzaharudin
Azrina, M. Ralib
Mohd Basri, Mat Nor
author_facet Ummu Kulthum, Jamaludin
Fatanah, M. Suhaimi
Normy Norfiza, A. Razak
Fatimah, Dzaharudin
Azrina, M. Ralib
Mohd Basri, Mat Nor
author_sort Ummu Kulthum, Jamaludin
title Mathematical Modelling of Glucose-Insulin System Behaviour in Hospital Tengku Ampuan Afzan Intensive Care Unit Patients
title_short Mathematical Modelling of Glucose-Insulin System Behaviour in Hospital Tengku Ampuan Afzan Intensive Care Unit Patients
title_full Mathematical Modelling of Glucose-Insulin System Behaviour in Hospital Tengku Ampuan Afzan Intensive Care Unit Patients
title_fullStr Mathematical Modelling of Glucose-Insulin System Behaviour in Hospital Tengku Ampuan Afzan Intensive Care Unit Patients
title_full_unstemmed Mathematical Modelling of Glucose-Insulin System Behaviour in Hospital Tengku Ampuan Afzan Intensive Care Unit Patients
title_sort mathematical modelling of glucose-insulin system behaviour in hospital tengku ampuan afzan intensive care unit patients
publisher Asian Research Publishing Network (ARPN)
publishDate 2016
url http://umpir.ump.edu.my/id/eprint/10748/
http://umpir.ump.edu.my/id/eprint/10748/
http://umpir.ump.edu.my/id/eprint/10748/1/%5BThe%20Final%20Version%5D%20Paper%20ID%20733%20MATHEMATICAL%20MODELLING%20OF%20GLUCOSE-INSULIN%20SYSTEM%20BEHAVIOUR%20IN%20HOSPITAL%20TENGKU%20AMPUAN%20AFZAN%20INTENSIVE%20CARE%20UNIT%20PATIENTS.pdf
http://umpir.ump.edu.my/id/eprint/10748/7/fkm-2015-ummu-mathematical%20modelling.pdf
first_indexed 2023-09-18T22:10:42Z
last_indexed 2023-09-18T22:10:42Z
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