OBJECTIVE -To evaluate a fully automated algorithm for the establishment of tight glycemic control in critically ill patients and to compare the results with different routine glucose management protocols of three intensive care units (ICUs) across Europe (Graz, Prague, and London).RESEARCH DESIGN AND METHODS -Sixty patients undergoing cardiac surgery (age 67 Ϯ 9 years, BMI 27.7 Ϯ 4.9 kg/m 2 , 17 women) with postsurgery blood glucose levels Ͼ120 mg/dl (6.7 mmol/l) were investigated in three different ICUs (20 per center). Patients were randomized to either blood glucose management (target range 80 -110 mg/dl [4.4 -6.1 mmol/l]) by the fully automated model predictive control (MPC) algorithm (n ϭ 30, 10 per center) or implemented routine glucose management protocols (n ϭ 30, 10 per center). In all patients, arterial glucose was measured hourly to describe the glucose profile until the end of the ICU stay but for a maximum period of 48 h. CONCLUSIONS -The data suggest that the MPC algorithm is safe and effective in controlling glycemia in critically ill postsurgery patients.
RESULTS
Diabetes Care 29:271-276, 2006E pidemiological studies have revealed a significant relationship between impaired glycemic control and poor outcome in patients with acute cardiovascular events (1-3), postoperative wound infections (4,5), and trauma (6). Patients with diabetes are affected, but patients with stress hyperglycemia with no previous diagnosis of diabetes also have a poor prognosis (1,2,7,8). Critical illness and trauma induce counterregulatory hormone release and alterations in carbohydrate metabolism such as enhanced hepatic gluconeogenesis, insulin resistance, and relative insulin deficiency (9,10).A growing body of evidence indicates that treatment of hyperglycemia improves clinical outcome (11). In a prospective randomized trial in Leuven, postoperative patients were treated with an intensive insulin protocol (12). Strict glycemic control (80 -110 mg/dl) resulted in a reduction of in-hospital mortality and a decrease in organ system dysfunction compared with moderate hyperglycemia (180 -200 mg/dl). In another study performed on a mixed medical-surgical population, the implementation of an intensive glucose management protocol led to decreased mortality, morbidity, and length of intensive care unit (ICU) stay of critically ill adult patients (13).Based on this clinical evidence, efforts have to be made to maintain strict glycemic control in critically ill patients. To achieve this goal, the implementation of complex intensive insulin infusion protocols based on frequent bedside glucose monitoring is required. Numerous guidelines have been developed and tested to implement tight glycemic control in ICUs (13-18). However, most of these guidelines still require user interventions or intuitive decisions of ICU staff.The development of a closed-loop control system that automatically regulates the dose of insulin based on glucose measurements could permit tight glycemic control without increasing the work-