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 sensitivity. ICING was developed and validated from critically-ill patients with various medical conditions in the intensive care unit in Christchurch Hospital, New Zea...

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Main Authors:	Abdul Razak, Normy Norfiza, Ahamad, Nurhamim, Suhaimi, Fatanah M., Jamaludin, Ummu, Md Ralib, Azrina
Format:	Article
Language:	English English
Published:	Innovare Academic Sciences Pvt Ltd 2016
Subjects:	R Medicine (General)
Online Access:	http://irep.iium.edu.my/52419/ http://irep.iium.edu.my/52419/ http://irep.iium.edu.my/52419/ http://irep.iium.edu.my/52419/1/52419.pdf http://irep.iium.edu.my/52419/2/52419-Feasibility%20of%20an%20intensive%20control%20insulin-nutrition%20glucose%20model%20%E2%80%98ICING%E2%80%99_SCOPUS.pdf

id	iium-52419
recordtype	eprints
spelling	iium-524192017-03-10T19:46:01Z http://irep.iium.edu.my/52419/ Feasibility of an intensive control insulin-nutrition glucose model ‘icing’ with Malaysian critically-ill patient Abdul Razak, Normy Norfiza Ahamad, Nurhamim Suhaimi, Fatanah M. Jamaludin, Ummu Md Ralib, Azrina R Medicine (General) A clinically verified patient-specific glucose-insulin metabolic model known as ICING is used to account for time-varying insulin sensitivity. 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 the Malaysian intensive care unit. Innovare Academic Sciences Pvt Ltd 2016 Article PeerReviewed application/pdf en http://irep.iium.edu.my/52419/1/52419.pdf application/pdf en http://irep.iium.edu.my/52419/2/52419-Feasibility%20of%20an%20intensive%20control%20insulin-nutrition%20glucose%20model%20%E2%80%98ICING%E2%80%99_SCOPUS.pdf Abdul Razak, Normy Norfiza and Ahamad, Nurhamim and Suhaimi, Fatanah M. and Jamaludin, Ummu and Md Ralib, Azrina (2016) Feasibility of an intensive control insulin-nutrition glucose model ‘icing’ with Malaysian critically-ill patient. International Journal of Pharmacy and Pharmaceutical Sciences, 8 (Supplement 2). pp. 40-42. E-ISSN 0975-1491 http://innovareacademics.in/journals/index.php/ijpps/article/view/15218/6988 10.22159/ijpps.2016v8s2.15218
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	R Medicine (General)
spellingShingle	R Medicine (General) Abdul Razak, Normy Norfiza Ahamad, Nurhamim Suhaimi, Fatanah M. Jamaludin, Ummu Md Ralib, Azrina 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 sensitivity. 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 the Malaysian intensive care unit.
format	Article
author	Abdul Razak, Normy Norfiza Ahamad, Nurhamim Suhaimi, Fatanah M. Jamaludin, Ummu Md Ralib, Azrina
author_facet	Abdul Razak, Normy Norfiza Ahamad, Nurhamim Suhaimi, Fatanah M. Jamaludin, Ummu Md Ralib, Azrina
author_sort	Abdul Razak, Normy Norfiza
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://irep.iium.edu.my/52419/ http://irep.iium.edu.my/52419/ http://irep.iium.edu.my/52419/ http://irep.iium.edu.my/52419/1/52419.pdf http://irep.iium.edu.my/52419/2/52419-Feasibility%20of%20an%20intensive%20control%20insulin-nutrition%20glucose%20model%20%E2%80%98ICING%E2%80%99_SCOPUS.pdf
first_indexed	2023-09-18T21:14:17Z
last_indexed	2023-09-18T21:14:17Z
_version_	1777411458301165568

Feasibility of an intensive control insulin-nutrition glucose model ‘icing’ with Malaysian critically-ill patient

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