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

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    Type of Content
    Conference Contributions - Published
    UC Permalink
    https://hdl.handle.net/10092/102160
    
    Publisher's DOI/URI
    http://doi.org/10.1186/s13054-020-03187-9
    
    Publisher
    BMC
    ISSN
    1364-8535
    Collections
    • Engineering: Conference Contributions [2298]
    Authors
    Pirotte M
    Morimont P
    Lambermont B
    Shaw, Geoff cc
    Desaive T
    Uyttendaele, Vincent cc
    Knopp, Jennifer cc
    Chase, Geoff cc
    show all
    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 physiology
    32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive care
    32 - Biomedical and clinical sciences::3202 - Clinical sciences::320208 - Endocrinology
    Rights
    All rights reserved unless otherwise stated
    http://hdl.handle.net/10092/17651

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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 ...
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