Model-based glycaemic control in multicentre icus within diabetic patients: In-silico analysis
Sliding-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-sili...
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| Format: | Article |
| Language: | English |
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Penerbit UTHM
2024
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| Online Access: | http://umpir.ump.edu.my/id/eprint/43644/1/Model-based%20glycaemic%20control%20in%20multicentre%20icus.pdf |
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| author | Athirah, Abdul Razak Normy Norfiza, Abdul Razak Norliyana, Nor Hisham Shah Asma, Abu-Samah Ummu Kulthum, Jamaludin Fatanah, Mohamad Suhaimi |
| author_facet | Athirah, Abdul Razak Normy Norfiza, Abdul Razak Norliyana, Nor Hisham Shah Asma, Abu-Samah Ummu Kulthum, Jamaludin Fatanah, Mohamad Suhaimi |
| author_sort | Athirah, Abdul Razak |
| collection | UMP |
| description | Sliding-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. |
| first_indexed | 2025-02-19T02:39:48Z |
| format | Article |
| id | UMPir43644 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2025-02-19T02:39:48Z |
| publishDate | 2024 |
| publisher | Penerbit UTHM |
| record_format | dspace |
| spelling | UMPir436442025-01-21T08:43:12Z http://umpir.ump.edu.my/id/eprint/43644/ Model-based glycaemic control in multicentre icus within diabetic patients: In-silico analysis Athirah, Abdul Razak Normy Norfiza, Abdul Razak Norliyana, Nor Hisham Shah Asma, Abu-Samah Ummu Kulthum, Jamaludin Fatanah, Mohamad Suhaimi T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Sliding-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. Penerbit UTHM 2024 Article PeerReviewed pdf en cc_by_sa_4 http://umpir.ump.edu.my/id/eprint/43644/1/Model-based%20glycaemic%20control%20in%20multicentre%20icus.pdf Athirah, Abdul Razak and Normy Norfiza, Abdul Razak and Norliyana, Nor Hisham Shah and Asma, Abu-Samah and Ummu Kulthum, Jamaludin and Fatanah, Mohamad Suhaimi (2024) Model-based glycaemic control in multicentre icus within diabetic patients: In-silico analysis. International Journal of Integrated Engineering, 16 (3). pp. 67-77. ISSN 2229-838X. (Published) https://doi.org/10.30880/ijie.2024.16.03.007 https://doi.org/10.30880/ijie.2024.16.03.007 |
| spellingShingle | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics Athirah, Abdul Razak Normy Norfiza, Abdul Razak Norliyana, Nor Hisham Shah Asma, Abu-Samah Ummu Kulthum, Jamaludin Fatanah, Mohamad Suhaimi Model-based glycaemic control in multicentre icus within diabetic patients: In-silico analysis |
| title | Model-based glycaemic control in multicentre icus within diabetic patients: In-silico analysis |
| title_full | Model-based glycaemic control in multicentre icus within diabetic patients: In-silico analysis |
| title_fullStr | Model-based glycaemic control in multicentre icus within diabetic patients: In-silico analysis |
| title_full_unstemmed | Model-based glycaemic control in multicentre icus within diabetic patients: In-silico analysis |
| title_short | Model-based glycaemic control in multicentre icus within diabetic patients: In-silico analysis |
| title_sort | model based glycaemic control in multicentre icus within diabetic patients in silico analysis |
| topic | T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TL Motor vehicles. Aeronautics. Astronautics |
| url | http://umpir.ump.edu.my/id/eprint/43644/1/Model-based%20glycaemic%20control%20in%20multicentre%20icus.pdf |
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