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Hyperglycaemia is commonly found in critically ill patients. Clinical studies demonstrated that tight blood glucose control in medical and surgical ICU patients results in a significant better outcome for the patients. Based on this emerging clinical evidence, there are increasing efforts worldwide to maintain strict glycaemic control in critically ill patients. However, achieving this goal requires extensive nursing efforts, including frequent bedside glucose monitoring and the implementation of complex intensive insulin infusion protocols. A fully automated algorithm may help to overcome some of these limitations by excluding intuitive interventions and integrating relevant clinical data in the decision-making process. This study will investigate the performance of an eMPC algorithm adjusted to target the range 4.4 - 8.3 mmol/L in line with the Surviving Sepsis guidelines.
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20 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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