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Hyperglycemia is common in critically ill patients and associated with an adverse outcome. Thus, glycaemic control is an important issue in critical care. Despite extensive efforts of the intensive care unit staff difficulties were experienced in achieving efficient and safe glucose control. A fully automated algorithm may help to overcome some of these limitations by excluding intuitive interventions and integrating relevant clinical data in the decision-making process. Space GlucoseControl (TGC system) is a decision support system which helps to achieve safe and reliable blood glucose control in the desired ranges. Information on parenteral and enteral nutrition is automatically integrated into the calculations. The primary objective of the current study is to investigate the performance and usability of the Space TGC system for glucose control over an extended glucose control range (4.4 to 8.3 mmol/L) in postoperative cardiac surgery patients.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| 1 | Experimental | Space TGC system with incorporated eMPC advised insulin titration to establish glycaemic control |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Space TGC | Device | Space TGC with incorporated eMPC algorithm to establish glycaemic control with a blood glucose target range of 80-150 mg/dL (4.4-8.3 mM) |
|
| Measure | Description | Time Frame |
|---|---|---|
| (arterial) blood glucose values -> percentage of time within predefined glucose target range 4.4-8.3 mmol/dL | all blood glucose measurements from start of treatment until last glucose measurement under treatment (i.e. stop of intravenous insulin treatment) up to a maximum of 48h |
| Measure | Description | Time Frame |
|---|---|---|
| Hypoglycaemia ≤ 40 md/dL (2.2mM) | all blood glucose measurements from start of treatment until last glucose measurement under treatment (i.e. stop of intravenous insulin treatment) up to a maximum of 48h | |
| Usability parameters like convenience of alarming function; workload; blood sampling frequency |
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| Name | Affiliation | Role |
|---|---|---|
| Jeremy Cordingley, Dr. | Royal Brompton & Harefield NHS Foundation Trust | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Royal Brompton Hospital, Intensive Care Medicine | London | SW3 6NP | United Kingdom |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 18661120 | Background | Cordingley JJ, Vlasselaers D, Dormand NC, Wouters PJ, Squire SD, Chassin LJ, Wilinska ME, Morgan CJ, Hovorka R, Van den Berghe G. Intensive insulin therapy: enhanced Model Predictive Control algorithm versus standard care. Intensive Care Med. 2009 Jan;35(1):123-8. doi: 10.1007/s00134-008-1236-z. Epub 2008 Jul 26. |
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| ID | Term |
|---|---|
| D016638 | Critical Illness |
| D007333 | Insulin Resistance |
| ID | Term |
|---|---|
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D006946 | Hyperinsulinism |
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| all blood glucose measurements from start of treatment until last glucose measurement under treatment (i.e. stop of intravenous insulin treatment) up to a maximum of 48h |
| Concomitant medication including insulin infusion rate, parenteral/enteral nutrition | all blood glucose measurements from start of treatment until last glucose measurement under treatment (i.e. stop of intravenous insulin treatment) up to a maximum of 48h |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |