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

Normy Norfiza Abdul Razak, Nurhamim Ahamad, Fatanah Suhaimi, Ummu Jamaluddin, Azrina M. Ralib

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)40-42
Number of pages3
JournalInternational Journal of Pharmacy and Pharmaceutical Sciences
Volume8
DOIs
Publication statusPublished - 01 Jan 2016

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Critical Illness
Insulin
Glucose
Intensive Care Units
New Zealand
Insulin Resistance

All Science Journal Classification (ASJC) codes

  • Pharmacology
  • Pharmaceutical Science

Cite this

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abstract = "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.",
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Feasibility of an intensive control insulin-nutrition glucose model ‘ICING’ with Malaysian critically-ill patient. / Abdul Razak, Normy Norfiza; Ahamad, Nurhamim; Suhaimi, Fatanah; Jamaluddin, Ummu; Ralib, Azrina M.

In: International Journal of Pharmacy and Pharmaceutical Sciences, Vol. 8, 01.01.2016, p. 40-42.

Research output: Contribution to journalArticle

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