STAR-Liège: Modulating insulin AND nutrition improves glycaemic control (2020)

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Type of Content
Conference Contributions - PublishedPublisher
BMCISSN
1364-8535Collections
Abstract
Introduction: Stress-induced hyperglycemia is a common complication associated with higher morbidity and mortality in ICU patients. The Stochastic TARgeted (STAR) glycemic control (GC) framework provides consistent, safe, effective control in different ICUs and countries. It is a patient-specific, risk-based protocol controlling both insulin and nutrition dosing. This study analyses safety and efficacy of STAR at the University Hospital of Liège, Belgium, and assesses the impact of also modulating nutrition on GC outcomes
Citation
Uyttendaele V, Knopp JL, Pirotte M, Morimont P, Lambermont B, Shaw GM, Desaive T, Chase G (2020). STAR-Liège: Modulating insulin AND nutrition improves glycaemic control. Brussels, Belgium: e-ISICEM: International Symposium on Intensive Care and Emergency Medicine (virtual). 15/09/2020-18/09/2020. Critical Care (UK). 24. Suppl 2. 16-16.This citation is automatically generated and may be unreliable. Use as a guide only.
ANZSRC Fields of Research
40 - Engineering::4003 - Biomedical engineering::400306 - Computational physiology32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive care
32 - Biomedical and clinical sciences::3202 - Clinical sciences::320208 - Endocrinology
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Risk-based Dosing of Insulin and Nutrition Improves Glycaemic Control Outcomes
Uyttendaele V; Knopp JL; Pirotte M; Morimont P; Lambermont B; Shaw, Geoff; Desaive T; Chase, Geoff (2019) -
Reduced Workload in the STAR Glycaemic Control Framework: Quantifying the safety trade-off
Shaw, Geoff; Desaive T; Chase, Geoff; Knopp, Jennifer; Uyttendaele, Vincent (BMC, 2020)The Stochastic Targeted (STAR) glycemic control (GC) framework is a model-based, risk-based insulin and nutrition protocol providing safe, effective GC to nearly all patients. STAR currently uses 1-3 hourly measurement ... -
3D kernel-density stochastic model for more personalized glycaemic control: Development and in-silico validation
Davidson S; Desaive T; Benyo B; Shaw, Geoff; Knopp, Jennifer; Chase, Geoff; Uyttendaele, Vincent (Springer Science and Business Media LLC, 2019)Background: The challenges of glycaemic control in critically ill patients have been debated for 20 years. While glycaemic control shows benefits inter- A nd intra-patient metabolic variability results in increased ...