Zukhi, Nur Jihan Mohd (2025) Development Of Comprehensive Glycemic Controller For Critically Ill Patients With Diabetes Mellitus And Non-Diabetes Mellitus. PhD thesis, Perpustakaan Hamzah Sendut.
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Abstract
Critically ill patients often experience stress-induced hyperglycaemia in the intensive care unit (icu), which is associated with the increased adverse clinical outcomes. Currently, the sliding scale technique of insulin infusion therapy (iit) remains widely utilised in the icu to control the glycaemic level, but its weaknesses cause high hypoglycaemia occurrences and glycaemic variability. The patient’s diseases, like sepsis-induced hypotension and lung injury, cause stress, resulting in hyperglycaemia. The main objective of this research was to develop a comprehensive glycaemic controller for critically ill patient with diabetes mellitus (dm) and non-diabetes mellitus (non-dm). This study developed a model-based glycaemic controller for critically ill patients with diabetes and non-diabetes, incorporating potential variables to improve the efficacy and safety of current iit. This study gathered retrospective clinical data of icu patients with iit and had at least 12 bg measurements to create virtual patients and simulate insulin infusion controllers by utilising the intensive control insulin-nutrition-glucose (icing) model to compute the patient’s si hourly. Glycaemic controllers are designed with potential variables of mean arterial pressure (map) and fraction of inspired oxygen (fio2), clustered using k-means and density-based spatial clustering of applications with noise (dbscan) techniques to determine which technique produced appropriate clusters for this cohort. Besides, the si variable was also used in developing the categorised glycaemic controller
| Item Type: | Thesis (PhD) |
|---|---|
| Subjects: | R Medicine > R Medicine (General) > R5-920 Medicine (General) |
| Divisions: | Institut Perubatan & Pergigian Termaju (Advanced Medical & Dental Institute (AMDI)) > Thesis |
| Depositing User: | Mr Hasmizar Mansor |
| Date Deposited: | 24 Jun 2026 00:41 |
| Last Modified: | 24 Jun 2026 00:41 |
| URI: | http://eprints.usm.my/id/eprint/64431 |
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