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Validation of a model-based virtual trials method for tight glycemic control in intensive care |
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| Authors: | J Geoffrey Chase Fatanah Suhaimi Sophie Penning Jean-Charles Preiser Aaron J Le Compte Jessica Lin Christopher G Pretty Geoffrey M Shaw Katherine T Moorhead Thomas Desaive |
| Institution: | 1.Dept of Mechanical Eng, Centre for Bio-Engineering,University of Canterbury,Christchurch,New Zealand;2.Cardiovascular Research Centre, Institute de Physique, Universite de Liege,Institute of Physics,Liege, Liege,Belgium;3.Dept of Intensive Care,Erasme University Hospital,Brussels,Belgium;4.School of Medicine,University of Otago Christchurch,Christchurch,New Zealand;5.Dept of Intensive Care,Christchurch Hospital,Christchurch,New Zealand |
| Abstract: | BackgroundIn-silico virtual patients and trials offer significant advantages in cost, time and safety for designing effective tight glycemic control (TGC) protocols. However, no such method has fully validated the independence of virtual patients (or resulting clinical trial predictions) from the data used to create them. This study uses matched cohorts from a TGC clinical trial to validate virtual patients and in-silico virtual trial models and methods. |
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