We are updating the design of this site. Learn more.
Show more
ClinicalTrials.gov Menu

Tight Glycemic Control by eMPC Algorithm in Medical ICU Patients.

This study has been completed.
ClinicalTrials.gov Identifier:
First Posted: April 13, 2007
Last Update Posted: April 13, 2007
The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details.
Information provided by:
Medical University of Graz
April 12, 2007
April 13, 2007
April 13, 2007
May 2006
Not Provided
Hyperglycemic Index
Same as current
No Changes Posted
  • Number of hypoglycaemic episodes (BG < 40 mg/dl (< 2.2mM) [10] )
  • Mean glucose
  • Sampling interval
  • Insulin need
Same as current
Not Provided
Not Provided
Tight Glycemic Control by eMPC Algorithm in Medical ICU Patients.
An Open, Mono-Centre Randomised Controlled Trial to Investigate the Feasibility of Blood Glucose Control With the Software-Algorithm eMPC (Enhanced Model Predictive Control) Via the Arterial-Intravenous Route in Patients at the Medical Intensive Care Unit.

This is an open mono-centre randomised controlled trial performed at the Medical University Graz including a treatment visit (V1). In the treatment visit (V1) after admittance to the ICU arterial blood glucose values will be monitored and either the software-algorithm eMPC will be used to adjust the infusion rate of intravenously administered human soluble insulin to normalise arterial blood glucose or routine treatment will be used to establish tight glycaemic control. The treatment visit will last for 72 hours.

The primary hypothesis of the study is that blood glucose control by the eMPC algorithm is not inferior compared to the implemented routine protocol.

Hyperglycaemia is commonly found in critically ill patients. The stress of critical illness induces glucose counterregulatory hormones and a number of alterations in carbohydrate metabolism, including increased peripheral glucose demands, enhanced hepatic glucose production, insulin resistance and relative insulin deficiency. Moreover, clinical interventions, such as corticoids, vasopressors, and enteral or parenteral nutrition, further predispose these patients to elevated blood glucose levels. In patients in intensive care as well as in general hospital settings patients with hyperglycemia have higher mortality rates. Recent studies demonstrated that tight blood glucose control in ICU patients results in a significant better outcome for the patients.

Based on this emerging clinical evidence, there are increasing efforts world-wide to maintain strict glycaemic control in critically ill patients. However, achieving this goal requires extensive nursing efforts, including frequent bedside glucose monitoring and the implementation of complex intensive insulin infusion protocols and such increased work demands may not be readily accepted by a busy ICU nursing staff.

The development of a closed loop control system that automatically infuses insulin on the basis of glucose measurements could permit strict glycaemic control and improve clinical outcome without increasing workload of the ICU nursing staff. The EU founded project CLINICIP (Closed Loop Infusion in Critically ill patients) aims to develop a low–risk monitoring and control system which allows maintaining metabolic control in intensive care units. As a first step a local bedside semi-closed system will be developed. Based on arterial spot measurement, an adaptive control algorithm will generate advice and thus represent a decision supporting system for the ICU nursing staff. This control algorithm was adapted for patients in the ICU. The first study using this algorithm was performed at the Medical University Hospital in Graz. In all six patients, who were included in this feasibility trial, blood glucose levels could be normalised and maintained in the narrow target range for up to 24 hours without a single hypoglycaemic episode. Subsequently, the algorithm was tested in a multicentric randomized controlled trial setting and showed superiority by means of a reduced number of hypoglycaemic events and a higher percentage of glucose values within the target range as compared to routine care glucose management protocols. In this study it was a fact that the hourly sampling frequency in the algorithm group has positively influenced the outcome in the algorithm group. Therefore in an enhanced version of the algorithm (eMPC) the sampling interval is expanded up to 240 min.

The purpose of this study is to evaluate the feasibility of this enhanced model predictive control algorithm for glycaemic control in critically ill patients compared to routine treatment.

Not Provided
Allocation: Randomized
Intervention Model: Parallel Assignment
Masking: None (Open Label)
Primary Purpose: Treatment
  • Critically Ill Patients
  • Mechanical Ventilation
  • Hyperglycemia
Procedure: insulin titration applying a computer algorithm
Not Provided
Plank J, Blaha J, Cordingley J, Wilinska ME, Chassin LJ, Morgan C, Squire S, Haluzik M, Kremen J, Svacina S, Toller W, Plasnik A, Ellmerer M, Hovorka R, Pieber TR. Multicentric, randomized, controlled trial to evaluate blood glucose control by the model predictive control algorithm versus routine glucose management protocols in intensive care unit patients. Diabetes Care. 2006 Feb;29(2):271-6.

*   Includes publications given by the data provider as well as publications identified by ClinicalTrials.gov Identifier (NCT Number) in Medline.
November 2006
Not Provided

Inclusion Criteria:

  • Mechanical ventilation
  • Increased blood glucose levels during ICU care (> 110 mg/dL; > 6.1 mM) or patient on current insulin treatment.
  • Age of patients in the range from 18 to 90 years.

Exclusion Criteria:

  • Known or suspected allergy against insulin.
  • Any disease or condition which the Investigator or the treating physician feels would interfere with the trial or the safety of the patient.
  • Patients participating in another study.
  • Moribund patients likely to die in the next 24 hours.
  • Disabled patients
Sexes Eligible for Study: All
18 Years to 90 Years   (Adult, Senior)
Contact information is only displayed when the study is recruiting subjects
Not Provided
Not Provided
Not Provided
Medical University of Graz
Not Provided
Principal Investigator: Thomas R Pieber, MD. Medical University of Graz
Medical University of Graz
April 2007

ICMJE     Data element required by the International Committee of Medical Journal Editors and the World Health Organization ICTRP