Performance of Stochastic Targeted Blood Glucose Control Protocol by virtual trials in the Malaysian intensive care unit

Ummu K. Jamaludin, Fatanah M. Suhaimi, Normy Norfiza Abdul Razak, Azrina Md Ralib, Mohd Basri Mat Nor, Christopher G. Pretty, Luqman Humaidi

Research output: Contribution to journalArticle

Abstract

Background and objective: Blood glucose variability is common in healthcare and it is not related or influenced by diabetes mellitus. To minimise the risk of high blood glucose in critically ill patients, Stochastic Targeted Blood Glucose Control Protocol is used in intensive care unit at hospitals worldwide. Thus, this study focuses on the performance of stochastic modelling protocol in comparison to the current blood glucose management protocols in the Malaysian intensive care unit. Also, this study is to assess the effectiveness of Stochastic Targeted Blood Glucose Control Protocol when it is applied to a cohort of diabetic patients. Methods: Retrospective data from 210 patients were obtained from a general hospital in Malaysia from May 2014 until June 2015, where 123 patients were having comorbid diabetes mellitus. The comparison of blood glucose control protocol performance between both protocol simulations was conducted through blood glucose fitted with physiological modelling on top of virtual trial simulations, mean calculation of simulation error and several graphical comparisons using stochastic modelling. Results: Stochastic Targeted Blood Glucose Control Protocol reduces hyperglycaemia by 16% in diabetic and 9% in nondiabetic cohorts. The protocol helps to control blood glucose level in the targeted range of 4.0–10.0 mmol/L for 71.8% in diabetic and 82.7% in nondiabetic cohorts, besides minimising the treatment hour up to 71 h for 123 diabetic patients and 39 h for 87 nondiabetic patients. Conclusion: It is concluded that Stochastic Targeted Blood Glucose Control Protocol is good in reducing hyperglycaemia as compared to the current blood glucose management protocol in the Malaysian intensive care unit. Hence, the current Malaysian intensive care unit protocols need to be modified to enhance their performance, especially in the integration of insulin and nutrition intervention in decreasing the hyperglycaemia incidences. Improvement in Stochastic Targeted Blood Glucose Control Protocol in terms of uen model is also a must to adapt with the diabetic cohort.

Original languageEnglish
Pages (from-to)149-155
Number of pages7
JournalComputer Methods and Programs in Biomedicine
Volume162
DOIs
Publication statusPublished - 01 Aug 2018

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Intensive care units
Clinical Protocols
Intensive Care Units
Glucose
Blood Glucose
Blood
Hyperglycemia
Medical problems
Diabetes Mellitus
Insulin
Malaysia
Nutrition
Critical Illness
General Hospitals

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Science Applications
  • Health Informatics

Cite this

Jamaludin, Ummu K. ; M. Suhaimi, Fatanah ; Abdul Razak, Normy Norfiza ; Md Ralib, Azrina ; Mat Nor, Mohd Basri ; Pretty, Christopher G. ; Humaidi, Luqman. / Performance of Stochastic Targeted Blood Glucose Control Protocol by virtual trials in the Malaysian intensive care unit. In: Computer Methods and Programs in Biomedicine. 2018 ; Vol. 162. pp. 149-155.
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Performance of Stochastic Targeted Blood Glucose Control Protocol by virtual trials in the Malaysian intensive care unit. / Jamaludin, Ummu K.; M. Suhaimi, Fatanah; Abdul Razak, Normy Norfiza; Md Ralib, Azrina; Mat Nor, Mohd Basri; Pretty, Christopher G.; Humaidi, Luqman.

In: Computer Methods and Programs in Biomedicine, Vol. 162, 01.08.2018, p. 149-155.

Research output: Contribution to journalArticle

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