• Title of article

    Adaptive bolus-based targeted glucose regulation of hyperglycaemia in critical care

  • Author/Authors

    Chase، نويسنده , , J. Geoffrey and Shaw، نويسنده , , Geoffrey M. and Lin، نويسنده , , Jessica and Doran، نويسنده , , Carmen V. and Hann، نويسنده , , Chris and Robertson، نويسنده , , Michael B. and Browne، نويسنده , , Patrick M. and Lotz، نويسنده , , Thomas and Wake، نويسنده , , Graeme C. and Broughton، نويسنده , , Bob، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2005
  • Pages
    11
  • From page
    1
  • To page
    11
  • Abstract
    Tight regulation of blood glucose can significantly reduce mortality in critical illness. Critically ill patients are extremely diverse in the dynamics of their hyperglycaemia. Hence, responses can vary significantly, due to variations in insulin levels, effective insulin utilization, glucose absorption and other factors. Consequently, fixed protocols and sliding scales can result in error, given this large variation in patient dynamics. compartment glucose–insulin system model that accounts for time-varying insulin sensitivity and endogenous glucose removal, along with two different saturation kinetics, is developed and tested in preliminary proof-of-concept clinical trials for adaptive control of blood glucose levels. The adaptive control algorithm developed in this research monitors the physiological status of a critically ill patient, allowing real-time, tight glycaemic regulation. The bolus-based insulin administration provides a safe approach to glucose level management. The ability to track changing physiological status and account for insulin transport and effect saturation enabled targeted stepwise reduction in glycaemic levels in three test cases.
  • Keywords
    blood glucose , hyperglycaemia , Insulin , glucose control , Glucose model , CRITICAL CARE , Clinical trial
  • Journal title
    Medical Engineering and Physics
  • Serial Year
    2005
  • Journal title
    Medical Engineering and Physics
  • Record number

    1728488