- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT00735163
Blood Glucose Control With A Software-Algorithm In Intensive Care Unit (ICU) Patients (Aldea _01)
Mono-Centric, Open, Non-Controlled Study To Investigate The Feasibility Of Blood Glucose Control With The Software-Algorithm eMPC (Enhanced Model Predictive Control) In ICU Patients
Hyperglycemia is common in critically ill patients and associated with an adverse outcome. Recently, large randomized controlled trials have demonstrated that tight glycaemic control (TGC) reduces morbidity and mortality in this population. Based on this emerging evidence intensive insulin therapy is currently finding its way into the critical care practice.
In the meantime numerous insulin infusion protocols, which are based on frequent bedside glucose monitoring, have been implemented. Recent reviews comparing different types of protocols describe widely ranging practice and difficulties in achieving TGC despite extensive efforts of the intensive care unit (ICU) staff. 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. The primary objective of the current study is to investigate the performance (efficacy) of a control algorithm for glycaemic control in ICU patients for the whole length of ICU stay.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Graz, Austria, 8036
- Medical University Graz
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Age: > 18 years of age
- Stay in the ICU expected to be > 120 h
- Blood glucose > 110 mg/dl or patient on insulin treatment
Exclusion Criteria:
- Patients with hyperglycaemic crisis/ketoacidosis due to insulin deficiency.
- Known or suspected allergy to insulin
- Any disease or condition which the investigator or treating physician feels would interfere with the trial or the safety of the patient (i.e., liver failure, other fatal organ failures)
- Moribund patients likely to die within 24 hours
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: A
improved model predictive control algorithm (eMPC) for glycaemic control in ICU patients
|
eMPC (software on a bedside computer) advised insulin titration to establish tight glycaemic control
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
percentage of time within the predefined glucose target range of 80-110 mg/dL
Time Frame: from start of treatment to the last glucose measurement under treatment
|
from start of treatment to the last glucose measurement under treatment
|
Secondary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Usability parameters like convenience of alarming function; workload; blood sampling frequency
Time Frame: from start of treatment to the last glucose measurement under treatment
|
from start of treatment to the last glucose measurement under treatment
|
|
Concomitant medication including insulin infusion rate, parenteral/enteral nutrition
Time Frame: from start of treatment to the last glucose measurement under treatment
|
from start of treatment to the last glucose measurement under treatment
|
|
hypoglycemias (lab) and possible attendant clinical symptoms (e.g. convulsions)
Time Frame: from start of treatment to the last glucose measurement under treatment
|
from start of treatment to the last glucose measurement under treatment
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Thomas R Pieber, Prof. Dr., Medical University of Graz
Publications and helpful links
General Publications
- 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. doi: 10.2337/diacare.29.02.06.dc05-1689.
- Pachler C, Plank J, Weinhandl H, Chassin LJ, Wilinska ME, Kulnik R, Kaufmann P, Smolle KH, Pilger E, Pieber TR, Ellmerer M, Hovorka R. Tight glycaemic control by an automated algorithm with time-variant sampling in medical ICU patients. Intensive Care Med. 2008 Jul;34(7):1224-30. doi: 10.1007/s00134-008-1033-8. Epub 2008 Feb 23.
Study record dates
Study Major Dates
Study Start
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- HC-G-H-0806
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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