Chee Frederick, Fernando Tyrone, van Heerden P Vernon
School of Electrical, Electronic, and Computer Engineering, University of Western Australia, Crawley, WA 6009, Australia.
IEEE Trans Inf Technol Biomed. 2003 Mar;7(1):43-53. doi: 10.1109/titb.2003.808509.
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.
开展了一项研究,以确定连续皮下血糖监测(使用美敦力动态血糖监测系统)能否用于实时控制危重症患者的血糖水平(BSL)。构建了一个闭环控制系统,以便实时使用动态血糖监测系统,并结合基于滑动比例法的比例积分(PI)控制算法,用于对患者进行胰岛素自动静脉输注。共有5名血糖水平较高(>10 mmol/L)的受试者参与了闭环控制系统的正式研究。在获得知情同意后,从重症监护病房(ICU)的危重症患者中招募受试者。误差网格分析显示,与从动脉导管抽取的血液进行的传统血糖水平测量相比,使用动态血糖监测系统传感器实时测定的血糖水平读数中有64.6%在临床上是准确的(即与血糖仪值的偏差<20%)。在接受闭环控制的5名患者中,控制器仅在无任何人工干预的情况下成功控制了1名患者的血糖水平。由于实时传感器读数与血糖仪值的偏差超过20%,并且作为一种安全机制,需要进行人工干预。对试验前、试验期间和试验后获得的血糖水平的均值和方差相等性测试表明,控制器的性能与人工控制相当。我们得出结论,闭环血糖水平控制的自动滑动比例法在重症监护患者中是可行的。在优化算法和提高实时传感器准确性方面还需要做更多工作。