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

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dc.citedby5
dc.contributor.authorJamaludin U.K.en_US
dc.contributor.authorM. Suhaimi F.en_US
dc.contributor.authorAbdul Razak N.N.en_US
dc.contributor.authorMd Ralib A.en_US
dc.contributor.authorMat Nor M.B.en_US
dc.contributor.authorPretty C.G.en_US
dc.contributor.authorHumaidi L.en_US
dc.contributor.authorid55330889600en_US
dc.contributor.authorid36247893200en_US
dc.contributor.authorid37059587300en_US
dc.contributor.authorid37031770900en_US
dc.contributor.authorid57226799207en_US
dc.contributor.authorid6508290605en_US
dc.contributor.authorid57202156574en_US
dc.date.accessioned2023-05-29T06:51:26Z
dc.date.available2023-05-29T06:51:26Z
dc.date.issued2018
dc.descriptionBlood; Glucose; Insulin; Intensive care units; Patient treatment; Stochastic control systems; Stochastic models; Blood glucose controls; Blood glucose level; Blood glucose management; Critically-ill patients; Graphical comparison; Hyperglycaemia; Insulin sensitivity; Scale method; Stochastic systems; glucose; insulin; adult; aged; Article; blood glucose monitoring; comorbidity; controlled study; diabetes mellitus; diabetic patient; female; glucose blood level; human; hyperglycemia; insulin blood level; insulin infusion; insulin release; insulin sensitivity; intensive care unit; major clinical study; Malaysia; male; retrospective study; stochastic model; blood; computer simulation; critical illness; diabetes mellitus; diabetic complication; glucose blood level; hyperglycemia; intensive care; Markov chain; middle aged; non insulin dependent diabetes mellitus; reproducibility; Adult; Aged; Blood Glucose; Computer Simulation; Critical Care; Critical Illness; Diabetes Complications; Diabetes Mellitus; Diabetes Mellitus, Type 2; Female; Humans; Hyperglycemia; Intensive Care Units; Malaysia; Male; Middle Aged; Reproducibility of Results; Retrospective Studies; Stochastic Processesen_US
dc.description.abstractBackground 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. � 2018 Elsevier B.V.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1016/j.cmpb.2018.03.001
dc.identifier.epage155
dc.identifier.scopus2-s2.0-85047296270
dc.identifier.spage149
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85047296270&doi=10.1016%2fj.cmpb.2018.03.001&partnerID=40&md5=60eafac5dd700b1c55dd40747b34d3c5
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23743
dc.identifier.volume162
dc.publisherElsevier Ireland Ltden_US
dc.sourceScopus
dc.sourcetitleComputer Methods and Programs in Biomedicine
dc.titlePerformance of Stochastic Targeted Blood Glucose Control Protocol by virtual trials in the Malaysian intensive care uniten_US
dc.typeArticleen_US
dspace.entity.typePublication
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