Critical Illness Clinical Trial
— Aldea _01Official title:
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
| Verified date | April 2009 |
| Source | B. Braun Melsungen AG |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | Austria: Ethikkommission |
| Study type | Interventional |
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.
| Status | Completed |
| Enrollment | 20 |
| Est. completion date | February 2009 |
| Est. primary completion date | February 2009 |
| Accepts healthy volunteers | No |
| Gender | Both |
| Age group | 18 Years and older |
| Eligibility |
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 |
Endpoint Classification: Safety/Efficacy Study, Intervention Model: Single Group Assignment, Masking: Open Label, Primary Purpose: Treatment
| Country | Name | City | State |
|---|---|---|---|
| Austria | Medical University Graz | Graz |
| Lead Sponsor | Collaborator |
|---|---|
| B. Braun Melsungen AG |
Austria,
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. — View Citation
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. — View Citation
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | percentage of time within the predefined glucose target range of 80-110 mg/dL | from start of treatment to the last glucose measurement under treatment | Yes | |
| Secondary | hypoglycemias (lab) and possible attendant clinical symptoms (e.g. convulsions) | from start of treatment to the last glucose measurement under treatment | Yes | |
| Secondary | Usability parameters like convenience of alarming function; workload; blood sampling frequency | from start of treatment to the last glucose measurement under treatment | No | |
| Secondary | Concomitant medication including insulin infusion rate, parenteral/enteral nutrition | from start of treatment to the last glucose measurement under treatment | No |
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