Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient
A clinically verified patient-specific glucose-insulin metabolic model known as ICING is used to account for time-varying insulin sesnsitivity. ICING was developed and validated from critically-ill patients with various medical conditions in the intensive care unit in Christchurch Hospital, New Zeal...
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| Format: | Article |
| Language: | English |
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Innovare Academic Sciences Pvt Ltd.
2016
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| Online Access: | http://umpir.ump.edu.my/id/eprint/17003/ http://umpir.ump.edu.my/id/eprint/17003/1/Ummu%20FKM%20FEASIBILITY%20OF%20AN%20INTENSIVE%20CONTROL%20INSULIN-NUTRITION%20GLUCOSE%20MODEL%20%E2%80%98ICING%E2%80%99%20WITH%20MALAYSIAN%20CRITICALLY-ILL%20PATIENT.pdf |
| _version_ | 1848820322055225344 |
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| author | Normy Norfiza, A. Razak Nurhamim, Ahamad Fatanah, Suhaimi Ummu Kulthum, Jamaludin Azrina, M. Ralib |
| author_facet | Normy Norfiza, A. Razak Nurhamim, Ahamad Fatanah, Suhaimi Ummu Kulthum, Jamaludin Azrina, M. Ralib |
| author_sort | Normy Norfiza, A. Razak |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | A clinically verified patient-specific glucose-insulin metabolic model known as ICING is used to account for time-varying insulin sesnsitivity. ICING was developed and validated from critically-ill patients with various medical conditions in the intensive care unit in Christchurch Hospital, New Zealand. Hence, it is interesting and vital to analyse the compatibility of the model once fitted to Malaysian critically-ill data. Results were assessed in terms of percentage of model-fit error, both by cohort and per-patient analysis. The ICING model accomplished median fitting error of <1% over data from 63 patients. Most importantly, the median per-patients is at a low fitting error of 0.34% and per cohort is 0.35%. These results provide a promising avenue for near future simulations of developing tight glycaemic control protocol in Malaysian intensive care unit. |
| first_indexed | 2025-11-15T02:07:36Z |
| format | Article |
| id | ump-17003 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:07:36Z |
| publishDate | 2016 |
| publisher | Innovare Academic Sciences Pvt Ltd. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-170032019-07-17T02:49:01Z http://umpir.ump.edu.my/id/eprint/17003/ Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient Normy Norfiza, A. Razak Nurhamim, Ahamad Fatanah, Suhaimi Ummu Kulthum, Jamaludin Azrina, M. Ralib Q Science (General) R Medicine (General) RM Therapeutics. Pharmacology A clinically verified patient-specific glucose-insulin metabolic model known as ICING is used to account for time-varying insulin sesnsitivity. ICING was developed and validated from critically-ill patients with various medical conditions in the intensive care unit in Christchurch Hospital, New Zealand. Hence, it is interesting and vital to analyse the compatibility of the model once fitted to Malaysian critically-ill data. Results were assessed in terms of percentage of model-fit error, both by cohort and per-patient analysis. The ICING model accomplished median fitting error of <1% over data from 63 patients. Most importantly, the median per-patients is at a low fitting error of 0.34% and per cohort is 0.35%. These results provide a promising avenue for near future simulations of developing tight glycaemic control protocol in Malaysian intensive care unit. Innovare Academic Sciences Pvt Ltd. 2016-05-29 Article NonPeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/17003/1/Ummu%20FKM%20FEASIBILITY%20OF%20AN%20INTENSIVE%20CONTROL%20INSULIN-NUTRITION%20GLUCOSE%20MODEL%20%E2%80%98ICING%E2%80%99%20WITH%20MALAYSIAN%20CRITICALLY-ILL%20PATIENT.pdf Normy Norfiza, A. Razak and Nurhamim, Ahamad and Fatanah, Suhaimi and Ummu Kulthum, Jamaludin and Azrina, M. Ralib (2016) Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient. International Journal of Pharmacy and Pharmaceutical Sciences, 8 (Spp 2). pp. 40-42. ISSN 0975-1491. (Published) http://dx.doi.org/10.22159/ijpps.2016v8s2.15218 |
| spellingShingle | Q Science (General) R Medicine (General) RM Therapeutics. Pharmacology Normy Norfiza, A. Razak Nurhamim, Ahamad Fatanah, Suhaimi Ummu Kulthum, Jamaludin Azrina, M. Ralib Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient |
| title | Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient |
| title_full | Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient |
| title_fullStr | Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient |
| title_full_unstemmed | Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient |
| title_short | Feasibility Of An Intensive Control Insulin-Nutrition Glucose Model ‘Icing’ With Malaysian Critically-Ill Patient |
| title_sort | feasibility of an intensive control insulin-nutrition glucose model ‘icing’ with malaysian critically-ill patient |
| topic | Q Science (General) R Medicine (General) RM Therapeutics. Pharmacology |
| url | http://umpir.ump.edu.my/id/eprint/17003/ http://umpir.ump.edu.my/id/eprint/17003/ http://umpir.ump.edu.my/id/eprint/17003/1/Ummu%20FKM%20FEASIBILITY%20OF%20AN%20INTENSIVE%20CONTROL%20INSULIN-NUTRITION%20GLUCOSE%20MODEL%20%E2%80%98ICING%E2%80%99%20WITH%20MALAYSIAN%20CRITICALLY-ILL%20PATIENT.pdf |