Feasibility of Blood Glucose Control With the Space TGC System in Medical ICU Patients

NCT ID: NCT01164423

Last Updated: 2011-02-09

Study Results

Results pending

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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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

20 participants

Study Classification

INTERVENTIONAL

Study Start Date

2010-07-31

Study Completion Date

2010-12-31

Brief Summary

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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 in medical ICU patients.

Detailed Description

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Conditions

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Critical Illness

Study Design

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Allocation Method

NON_RANDOMIZED

Intervention Model

SINGLE_GROUP

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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1

Space TGC system with incorporated eMPC advised insulin infusion to establish glycaemic control

Group Type EXPERIMENTAL

Space TGC

Intervention Type 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)

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)

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

* age: \> 18 years of age
* 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
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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B. Braun Melsungen AG

INDUSTRY

Sponsor Role lead

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

Site Status

Countries

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Austria

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.

Reference Type BACKGROUND
PMID: 20388051 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 19885285 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 18297268 (View on PubMed)

Other Identifiers

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HC-G-H-0905

Identifier Type: -

Identifier Source: org_study_id

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