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

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, Abdul Razak, Nurhamim, Ahamad, Fatanah, Suhaimi, U. K., 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 oai:umpir.ump.edu.my:17003
recordtype eprints
spelling oai:umpir.ump.edu.my:170032017-03-14T06:29:59Z 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, Abdul Razak Nurhamim, Ahamad Fatanah, Suhaimi U. K., 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, Abdul Razak and Nurhamim, Ahamad and Fatanah, Suhaimi and U. K., 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, Abdul Razak
Nurhamim, Ahamad
Fatanah, Suhaimi
U. K., 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, Abdul Razak
Nurhamim, Ahamad
Fatanah, Suhaimi
U. K., Jamaludin
Azrina, M. Ralib
author_facet Normy Norfiza, Abdul Razak
Nurhamim, Ahamad
Fatanah, Suhaimi
U. K., Jamaludin
Azrina, M. Ralib
author_sort Normy Norfiza, Abdul 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 2018-09-07T02:14:58Z
last_indexed 2018-09-07T02:14:58Z
_version_ 1610913151413387264

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