Validation of a virtual patient and virtual trials method for accurate prediction of TGC protocol performance
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Conference Contributions - Other
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University of Canterbury. Mechanical Engineering
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2011
Authors
Suhaimi, F.
Le Compte, A.J.
Penning, S.
Pretty, C.G.
Preiser, J.-C.
Shaw, Geoff
Desaive, T.
Chase, Geoff
Abstract
Effective tight glycemic control (TGC) can improve outcomes, but is difficult to achieve. In silico virtual patients and trials offer significant advantages in cost, time and safety for designing effective TGC protocols. However, no such method has been fully validated. This study tests 2 matched cohorts from the Glucontrol trial treated with different protocols. The goal is to validate the ability of in-silico virtual patient models and methods to accurately predict patient-specific and clinical trial glycemic outcomes.
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Suhaimi, F., Le Compte, A.J., Penning, S., Pretty, C.G., Preiser, J.C., Shaw, G.M., Desaive, T., Chase, J.G. (2011) Validation of a virtual patient and virtual trials method for accurate prediction of TGC protocol performance. Brussels, Belgium: 31st International Symposium on Intensive Care and Emergency Medicine (31st ISICEM), 22-25 Mar 2011. 1-page.
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ANZSRC fields of research
Fields of Research::32 - Biomedical and clinical sciences::3205 - Medical biochemistry and metabolomics::320502 - Medical biochemistry - carbohydrates
Fields of Research::32 - Biomedical and clinical sciences::3205 - Medical biochemistry and metabolomics::320599 - Medical biochemistry and metabolomics not elsewhere classified
Fields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive care
Fields of Research::32 - Biomedical and clinical sciences::3205 - Medical biochemistry and metabolomics::320599 - Medical biochemistry and metabolomics not elsewhere classified
Fields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive care