Feasibility of Blood Glucose Control With the Space TGC System in Medical ICU Patients
NCT ID: NCT01164423
Last Updated: 2011-02-09
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
20 participants
INTERVENTIONAL
2010-07-31
2010-12-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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NON_RANDOMIZED
SINGLE_GROUP
TREATMENT
NONE
Study Groups
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1
Space TGC system with incorporated eMPC advised insulin infusion to establish glycaemic control
Space TGC
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)
Interventions
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Space TGC
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)
Eligibility Criteria
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Inclusion Criteria
* stay in the ICU expected to be \> 72 h
* blood glucose \> 110 mg/dl or patient on insulin treatment
Exclusion:
* 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
18 Years
ALL
No
Sponsors
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B. Braun Melsungen AG
INDUSTRY
Responsible Party
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B. Braun Melsungen AG
Principal Investigators
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Thomas R. Pieber, Prof.
Role: PRINCIPAL_INVESTIGATOR
Landeskrankenhaus Universitätsklinikum Graz
Locations
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Medizinische Universität Graz, Department of Internal Medicine
Graz, , Austria
Countries
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References
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Amrein K, Ellmerer M, Hovorka R, Kachel N, Parcz D, Korsatko S, Smolle K, Perl S, Bock G, Doll W, Kohler G, Pieber TR, Plank J. Hospital glucose control: safe and reliable glycemic control using enhanced model predictive control algorithm in medical intensive care unit patients. Diabetes Technol Ther. 2010 May;12(5):405-12. doi: 10.1089/dia.2009.0147.
Kulnik R, Plank J, Pachler C, Wilinska ME, Groselj-Strele A, Rothlein D, Wufka M, Kachel N, Smolle KH, Perl S, Pieber TR, Hovorka R, Ellmerer M. Evaluation of implementation of a fully automated algorithm (enhanced model predictive control) in an interacting infusion pump system for establishment of tight glycemic control in medical intensive care unit patients. J Diabetes Sci Technol. 2008 Nov;2(6):963-70. doi: 10.1177/193229680800200606.
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.
Other Identifiers
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HC-G-H-0905
Identifier Type: -
Identifier Source: org_study_id
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