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Model-Based Glycaemic Control in Multicentre ICUs within Diabetic Patients: In-silico Analysis

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dc.citedby0
dc.contributor.authorRazak A.A.en_US
dc.contributor.authorRazak N.en_US
dc.contributor.authorShah N.N.H.en_US
dc.contributor.authorAbu-Samah A.en_US
dc.contributor.authorJamaludin U.en_US
dc.contributor.authorSuhaimi F.en_US
dc.contributor.authorid56960052400en_US
dc.contributor.authorid37059587300en_US
dc.contributor.authorid7401823793en_US
dc.contributor.authorid56719596600en_US
dc.contributor.authorid55330889600en_US
dc.contributor.authorid36247893200en_US
dc.date.accessioned2025-03-03T07:46:21Z
dc.date.available2025-03-03T07:46:21Z
dc.date.issued2024
dc.description.abstractSliding-scale insulin therapy has been vastly used for glycaemic control but dysglycaemia remains high. Model-based glycaemic control that incorporates insulin nutrition protocol was proposed as this therapy provides personalized care to avoid dysglycaemia. Thus, this paper aims to implement in-silico simulation and identify which model-based control protocols yield better protocol within ICU diabetic patients based on performance and safety. Multicentre ICU patients of 282 were divided into diabetes mellitus (DM) and non-diabetes mellitus (NDM) cohort where in-silico simulations were done using Specialised Relative Insulin Nutrition Therapy (SPRINT), SPRINT+Glargine and Stochastic Targeted (STAR) protocols. Performance was verified based on the percentage of blood glucose (BG) time in band (TIB) 6.0 ? 10.0 mmol/L and safety with number of mild and severe hypoglycaemia episodes. Among the three protocols, STAR protocol showed the highest median and interquartile range % BG TIB 6.0 ? 10.0 mmol/L for DM and NDM patients with 71.6 % [57.9 ? 79.8] and 77.4 % [62.9 ? 88.8]. The number of hypoglycaemia episodes are the lowest in DM and NDM patients too compared to other protocols. These advantages show that STAR protocol can provide better patient outcomes for glycaemic control with personalized care. ? This is an open access article under the CC BY-NC-SA 4.0 licenseen_US
dc.description.natureFinalen_US
dc.identifier.doi10.30880/ijie.2024.16.03.007
dc.identifier.epage77
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85195308767
dc.identifier.spage67
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85195308767&doi=10.30880%2fijie.2024.16.03.007&partnerID=40&md5=5f30593aeab2f5a60c4a5a8445af5bc8
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/36985
dc.identifier.volume16
dc.pagecount10
dc.publisherPenerbit UTHMen_US
dc.sourceScopus
dc.sourcetitleInternational Journal of Integrated Engineering
dc.titleModel-Based Glycaemic Control in Multicentre ICUs within Diabetic Patients: In-silico Analysisen_US
dc.typeArticleen_US
dspace.entity.typePublication
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