Title :
Closed-loop glucose control in critically ill patients using continuous glucose monitoring system (CGMS) in real time
Author :
Chee, Frederick ; Fernando, Tyrone ; Van Heerden, P. Vernon
Author_Institution :
Sch. of Electr., Univ. of Western Australia, Crawley, WA, Australia
fDate :
3/1/2003 12:00:00 AM
Abstract :
A study was conducted to determine if continuous subcutaneous glucose monitoring (from MiniMed CGMS) could be used in real-time to control blood sugar level (BSL) in patients with critical illness. A closed-loop control system was constructed to use CGMS in a real-time manner, coupled with a proportional integral (PI) control algorithm based on a sliding scale approach, for automatic intravenous infusion of insulin to patients. A total of five subjects with high BSL (>10 mmol/L) participated in formal studies of the closed-loop control system. Subjects were recruited from critically ill patients in the intensive care unit (ICU) after informed consent was obtained. Error grid analysis showed that 64.6% of the BSL readings as determined in real time using CGMS sensor, when compared to conventional BSL measurements on blood drawn from an arterial line, was clinically accurate (i.e., <20% deviation from glucometer value). In the five patients who underwent closed-loop control, the controller managed to control only one patient´s glycaemia without any manual intervention. Manual intervention was required due to the real-time sensor reading deviating more than 20% from the glucometer value, and also as a safety mechanism. Test on equality of mean and variance for BSL attained prior to, during, and post trial showed that the controller´s performance was comparable to manual control. We conclude that the automatic sliding scale approach of closed-loop BSL control is feasible in patients in intensive care. More work is needed in the refinement of the algorithm and the improvement of real-time sensor accuracy.
Keywords :
biocontrol; biosensors; closed loop systems; computerised monitoring; patient monitoring; real-time systems; two-term control; MiniMed CGMS; arterial line drawn blood; automatic intravenous infusion insulin; automatic sliding scale approach; closed-loop glucose control; continuous subcutaneous glucose monitoring; critically ill patients; error grid analysis; glucometer; glycaemia; informed consent; intensive care unit; manual intervention; mean; proportional integral control algorithm; real-time sensor accuracy; real-time sensor reading; real-time system; safety mechanism; variance; Automatic control; Biomedical monitoring; Biosensors; Control systems; Patient monitoring; Pi control; Proportional control; Real time systems; Sugar; User-generated content; Algorithms; Clinical Trials as Topic; Critical Illness; Glucose; Humans; Monitoring, Physiologic;
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
DOI :
10.1109/TITB.2003.808509