Investigation of glucose-insulin model efficacy for diabetes patient in the ICU

Biomedical engineering; Blood; Errors; Glucose; Insulin; Medical problems; Blood glucose; Critically-ill patients; Fitting error; Influential factors; Inter-relationships; Malaysians; Model-based OPC; Real time modeling; Patient treatment

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Main Authors:	Abdul Razak A., Abu-Samah A., Razak N.N., Ahamad N., M. Suhaimi F., Jamaludin U.K., Md Ralib A., Mat-Nor M.B.
Other Authors:	56960052400
Format:	Conference Paper
Published:	Springer Verlag 2023
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Institution:	Universiti Tenaga Nasional

id	my.uniten.dspace-24230
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spelling	my.uniten.dspace-242302023-05-29T14:57:14Z Investigation of glucose-insulin model efficacy for diabetes patient in the ICU Abdul Razak A. Abu-Samah A. Razak N.N. Ahamad N. M. Suhaimi F. Jamaludin U.K. Md Ralib A. Mat-Nor M.B. 56960052400 56719596600 37059587300 56960410200 36247893200 55330889600 37031770900 57226799207 Biomedical engineering; Blood; Errors; Glucose; Insulin; Medical problems; Blood glucose; Critically-ill patients; Fitting error; Influential factors; Inter-relationships; Malaysians; Model-based OPC; Real time modeling; Patient treatment This paper investigates the inter-relationship of blood glucose (BG) model fitting error percentage for both diabetic and non-diabetic patient�s status with ICING glucose-insulin model efficacy. Data were taken from 132 critically ill patients admitted in ICU of Hospital Tunku Ampuan Afzan (HTAA), Kuantan, Malaysia. The BG fitting error results are important to determine the efficacy and safety of chosen glucose-insulin model-based. Analysis results of per-patient and by-cohort were used to suggest whether diabetes is an influential factor for model BG fitting error efficacy. For diabetic per-patient and by-cohort, median model fit error are 0.29 and 0.31% respectively Meanwhile, for non-diabetic per-patient and by-cohort model fit error are 0.27 and 0.29% respectively. In conclusion, results demonstrated no significant difference between diabetic and non-diabetic patient in model fitting error. Thus, ICING model may be used to deliver real time model-based insulin therapy whether patient is diabetic or non-diabetic. � 2018, Springer Science+Business Media Singapore. Final 2023-05-29T06:57:14Z 2023-05-29T06:57:14Z 2018 Conference Paper 10.1007/978-981-10-7554-4_31 2-s2.0-85038081761 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038081761&doi=10.1007%2f978-981-10-7554-4_31&partnerID=40&md5=ee2ec95696ed24759db7369528d1976e https://irepository.uniten.edu.my/handle/123456789/24230 67 177 181 Springer Verlag Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
description	Biomedical engineering; Blood; Errors; Glucose; Insulin; Medical problems; Blood glucose; Critically-ill patients; Fitting error; Influential factors; Inter-relationships; Malaysians; Model-based OPC; Real time modeling; Patient treatment
author2	56960052400
author_facet	56960052400 Abdul Razak A. Abu-Samah A. Razak N.N. Ahamad N. M. Suhaimi F. Jamaludin U.K. Md Ralib A. Mat-Nor M.B.
format	Conference Paper
author	Abdul Razak A. Abu-Samah A. Razak N.N. Ahamad N. M. Suhaimi F. Jamaludin U.K. Md Ralib A. Mat-Nor M.B.
spellingShingle	Abdul Razak A. Abu-Samah A. Razak N.N. Ahamad N. M. Suhaimi F. Jamaludin U.K. Md Ralib A. Mat-Nor M.B. Investigation of glucose-insulin model efficacy for diabetes patient in the ICU
author_sort	Abdul Razak A.
title	Investigation of glucose-insulin model efficacy for diabetes patient in the ICU
title_short	Investigation of glucose-insulin model efficacy for diabetes patient in the ICU
title_full	Investigation of glucose-insulin model efficacy for diabetes patient in the ICU
title_fullStr	Investigation of glucose-insulin model efficacy for diabetes patient in the ICU
title_full_unstemmed	Investigation of glucose-insulin model efficacy for diabetes patient in the ICU
title_sort	investigation of glucose-insulin model efficacy for diabetes patient in the icu
publisher	Springer Verlag
publishDate	2023
_version_	1806424101885050880

Investigation of glucose-insulin model efficacy for diabetes patient in the ICU

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