Performance of glycemic control protocol and virtual trial

Model-based glycemic control offers direct management of patient-specific variability and better adaptive control. Implementation of the model-based glycemic control has the potential to reduce hyperglycemia episodes, mortality and morbidity as seen in some successful TGC. The design of any TGC must...

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Main Authors: Suhaimi F.M., Jamaludin U.K., Razak N.N., Ralib A.M., Nor M.B.M.
Other Authors: 36247893200
Format: Article
Published: American Scientific Publishers 2023
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Institution: Universiti Tenaga Nasional
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spelling my.uniten.dspace-234272023-05-29T14:40:25Z Performance of glycemic control protocol and virtual trial Suhaimi F.M. Jamaludin U.K. Razak N.N. Ralib A.M. Nor M.B.M. 36247893200 55330889600 37059587300 37031770900 57226799207 Model-based glycemic control offers direct management of patient-specific variability and better adaptive control. Implementation of the model-based glycemic control has the potential to reduce hyperglycemia episodes, mortality and morbidity as seen in some successful TGC. The design of any TGC must consider not only the glycemic target range but also safety and efficacy of the insulin therapy. This paper presents the evaluation of glycemic control protocol adapted in the ICU of Tengku Ampuan Afzan Hospital. Virtual trials method is used to simulate the controller algorithm on a virtual patient with feed variation factor. Data from actual clinical and the virtual trial are compared to analyze the protocol performance concerning blood glucose outcome and insulin efficacy. A stochastic model is also used to indicate metabolic response and metabolic variation of the cohort. � 2017 American Scientific Publishers All rights reserved. Final 2023-05-29T06:40:25Z 2023-05-29T06:40:25Z 2017 Article 10.1166/asl.2017.7389 2-s2.0-85027856059 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85027856059&doi=10.1166%2fasl.2017.7389&partnerID=40&md5=4f08c91d53e8df397cf33361415cf052 https://irepository.uniten.edu.my/handle/123456789/23427 23 6 5415 5418 All Open Access, Green American Scientific Publishers Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Model-based glycemic control offers direct management of patient-specific variability and better adaptive control. Implementation of the model-based glycemic control has the potential to reduce hyperglycemia episodes, mortality and morbidity as seen in some successful TGC. The design of any TGC must consider not only the glycemic target range but also safety and efficacy of the insulin therapy. This paper presents the evaluation of glycemic control protocol adapted in the ICU of Tengku Ampuan Afzan Hospital. Virtual trials method is used to simulate the controller algorithm on a virtual patient with feed variation factor. Data from actual clinical and the virtual trial are compared to analyze the protocol performance concerning blood glucose outcome and insulin efficacy. A stochastic model is also used to indicate metabolic response and metabolic variation of the cohort. � 2017 American Scientific Publishers All rights reserved.
author2 36247893200
author_facet 36247893200
Suhaimi F.M.
Jamaludin U.K.
Razak N.N.
Ralib A.M.
Nor M.B.M.
format Article
author Suhaimi F.M.
Jamaludin U.K.
Razak N.N.
Ralib A.M.
Nor M.B.M.
spellingShingle Suhaimi F.M.
Jamaludin U.K.
Razak N.N.
Ralib A.M.
Nor M.B.M.
Performance of glycemic control protocol and virtual trial
author_sort Suhaimi F.M.
title Performance of glycemic control protocol and virtual trial
title_short Performance of glycemic control protocol and virtual trial
title_full Performance of glycemic control protocol and virtual trial
title_fullStr Performance of glycemic control protocol and virtual trial
title_full_unstemmed Performance of glycemic control protocol and virtual trial
title_sort performance of glycemic control protocol and virtual trial
publisher American Scientific Publishers
publishDate 2023
_version_ 1806425492156317696