Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient

A clinically verified patient-specific glucose-insulin metabolic model known as ICING is used to account for time-varying insulin sesnsitivity. ICING was developed and validated from critically-ill patients with various medical conditions in the intensive care unit in Christchurch Hospital, New Zeal...

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Main Authors:	Normy Norfiza, A. Razak, Nurhamim, Ahamad, Fatanah, Suhaimi, Ummu Kulthum, Jamaludin, Azrina, M. Ralib
Format:	Article
Language:	English
Published:	Innovare Academic Sciences Pvt Ltd. 2016
Subjects:	Q Science (General) R Medicine (General) RM Therapeutics. Pharmacology
Online Access:	http://umpir.ump.edu.my/id/eprint/17003/ http://umpir.ump.edu.my/id/eprint/17003/ http://umpir.ump.edu.my/id/eprint/17003/1/Ummu%20FKM%20FEASIBILITY%20OF%20AN%20INTENSIVE%20CONTROL%20INSULIN-NUTRITION%20GLUCOSE%20MODEL%20%E2%80%98ICING%E2%80%99%20WITH%20MALAYSIAN%20CRITICALLY-ILL%20PATIENT.pdf

id	ump-17003
recordtype	eprints
spelling	ump-170032019-07-17T02:49:01Z http://umpir.ump.edu.my/id/eprint/17003/ Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient Normy Norfiza, A. Razak Nurhamim, Ahamad Fatanah, Suhaimi Ummu Kulthum, Jamaludin Azrina, M. Ralib Q Science (General) R Medicine (General) RM Therapeutics. Pharmacology A clinically verified patient-specific glucose-insulin metabolic model known as ICING is used to account for time-varying insulin sesnsitivity. ICING was developed and validated from critically-ill patients with various medical conditions in the intensive care unit in Christchurch Hospital, New Zealand. Hence, it is interesting and vital to analyse the compatibility of the model once fitted to Malaysian critically-ill data. Results were assessed in terms of percentage of model-fit error, both by cohort and per-patient analysis. The ICING model accomplished median fitting error of <1% over data from 63 patients. Most importantly, the median per-patients is at a low fitting error of 0.34% and per cohort is 0.35%. These results provide a promising avenue for near future simulations of developing tight glycaemic control protocol in Malaysian intensive care unit. Innovare Academic Sciences Pvt Ltd. 2016-05-29 Article NonPeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/17003/1/Ummu%20FKM%20FEASIBILITY%20OF%20AN%20INTENSIVE%20CONTROL%20INSULIN-NUTRITION%20GLUCOSE%20MODEL%20%E2%80%98ICING%E2%80%99%20WITH%20MALAYSIAN%20CRITICALLY-ILL%20PATIENT.pdf Normy Norfiza, A. Razak and Nurhamim, Ahamad and Fatanah, Suhaimi and Ummu Kulthum, Jamaludin and Azrina, M. Ralib (2016) Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient. International Journal of Pharmacy and Pharmaceutical Sciences, 8 (Spp 2). pp. 40-42. ISSN 0975-1491 http://dx.doi.org/10.22159/ijpps.2016v8s2.15218
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	Q Science (General) R Medicine (General) RM Therapeutics. Pharmacology
spellingShingle	Q Science (General) R Medicine (General) RM Therapeutics. Pharmacology Normy Norfiza, A. Razak Nurhamim, Ahamad Fatanah, Suhaimi Ummu Kulthum, Jamaludin Azrina, M. Ralib Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient
description	A clinically verified patient-specific glucose-insulin metabolic model known as ICING is used to account for time-varying insulin sesnsitivity. ICING was developed and validated from critically-ill patients with various medical conditions in the intensive care unit in Christchurch Hospital, New Zealand. Hence, it is interesting and vital to analyse the compatibility of the model once fitted to Malaysian critically-ill data. Results were assessed in terms of percentage of model-fit error, both by cohort and per-patient analysis. The ICING model accomplished median fitting error of <1% over data from 63 patients. Most importantly, the median per-patients is at a low fitting error of 0.34% and per cohort is 0.35%. These results provide a promising avenue for near future simulations of developing tight glycaemic control protocol in Malaysian intensive care unit.
format	Article
author	Normy Norfiza, A. Razak Nurhamim, Ahamad Fatanah, Suhaimi Ummu Kulthum, Jamaludin Azrina, M. Ralib
author_facet	Normy Norfiza, A. Razak Nurhamim, Ahamad Fatanah, Suhaimi Ummu Kulthum, Jamaludin Azrina, M. Ralib
author_sort	Normy Norfiza, A. Razak
title	Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient
title_short	Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient
title_full	Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient
title_fullStr	Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient
title_full_unstemmed	Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient
title_sort	feasibility of an intensive control insulin-nutrition glucose model ‘icing’ with malaysian critically-ill patient
publisher	Innovare Academic Sciences Pvt Ltd.
publishDate	2016
url	http://umpir.ump.edu.my/id/eprint/17003/ http://umpir.ump.edu.my/id/eprint/17003/ http://umpir.ump.edu.my/id/eprint/17003/1/Ummu%20FKM%20FEASIBILITY%20OF%20AN%20INTENSIVE%20CONTROL%20INSULIN-NUTRITION%20GLUCOSE%20MODEL%20%E2%80%98ICING%E2%80%99%20WITH%20MALAYSIAN%20CRITICALLY-ILL%20PATIENT.pdf
first_indexed	2023-09-18T22:23:10Z
last_indexed	2023-09-18T22:23:10Z
_version_	1777415791753297920

Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient

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