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Virtual trial of glycaemic control performance and nursing workload assessment in diabetic critically ill patients

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dc.contributor.authorRazak A.A.en_US
dc.contributor.authorAbu-Samah A.en_US
dc.contributor.authorRazak N.N.en_US
dc.contributor.authorBaharudin S.en_US
dc.contributor.authorSuhaimi F.en_US
dc.contributor.authorJamaludin U.en_US
dc.contributor.authorRalib A.en_US
dc.contributor.authorMat-Nor M.B.en_US
dc.contributor.authorid56960052400en_US
dc.contributor.authorid56719596600en_US
dc.contributor.authorid37059587300en_US
dc.contributor.authorid55180778800en_US
dc.contributor.authorid36247893200en_US
dc.contributor.authorid55330889600en_US
dc.contributor.authorid37031770900en_US
dc.contributor.authorid57226799207en_US
dc.date.accessioned2023-05-29T06:55:42Z
dc.date.available2023-05-29T06:55:42Z
dc.date.issued2018
dc.description.abstractTight glycaemic control in critically ill patients is used to reduce mortality in intensive care units. However, its usage is debatable in reducing hypoglycaemia or accurately maintain normoglycaemia level. This paper presents the assessment for two 'wider' Stochastic TARgeted (STAR) glycemic controllers, namely Controller A (blood glucose (BG) target 4.4-8.0 mmol/L) and Controller B (BG target 4.4-10.0 mmol/L) with 1 to 3 hour nursing interventions. These controllers were assessed to determine the better control on diabetic and non-diabetic patients. 66 diabetic and 66 non-diabetic critically ill patient's data from Hospital Tunku Ampuan Afzan (HTAA) were employed for virtual trial simulations with a clinically validated physiological model. Performance metrics were assessed within the percentage time in band (TIB) of 4.4 to 8.0 mmol/L, 4.4 to 10.0 mmol/L, and 6.0 to 10.0 mmol/L. Controller A shows better performance in normoglycaemic TIB of 4.4 to 10.0 mmol/L where non-diabetic and diabetic patients achieved 92.5% and 83.8% respectively. In conclusion, Controller A is higher in efficiency and safer to be used for both patients cohorts. However, higher clinical interventions in diabetic patients within this control raise the alarm to reduce nursing workload. This is believed to improve clinical interventions burnout and ensure patient's comfortability. � 2018 Authors.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.14419/ijet.v7i4.35.22322
dc.identifier.epage58
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85059224763
dc.identifier.spage54
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85059224763&doi=10.14419%2fijet.v7i4.35.22322&partnerID=40&md5=a0349415517ed068eff5dd685bb5c3df
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24119
dc.identifier.volume7
dc.publisherScience Publishing Corporation Incen_US
dc.relation.ispartofAll Open Access, Bronze, Green
dc.sourceScopus
dc.sourcetitleInternational Journal of Engineering and Technology(UAE)
dc.titleVirtual trial of glycaemic control performance and nursing workload assessment in diabetic critically ill patientsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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