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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT02155023
Other study ID # REACTforSENSOR
Secondary ID
Status Completed
Phase N/A
First received February 7, 2014
Last updated March 25, 2015
Start date January 2014
Est. completion date January 2015

Study information

Verified date March 2015
Source Medical University of Graz
Contact n/a
Is FDA regulated No
Health authority Austria: Austrian Medicines and Medical Devices Agency
Study type Interventional

Clinical Trial Summary

Two new glucose sensors (IR-Glucose Reader (Joanneum Research, Austria), IR-CGM (IMM, Germany)) will be investigated to determine the optimal calibration method in patients with type 1 diabetes


Description:

The subjects (Type 1 diabetes) will stay at the Clinical Research Centre for the whole period of the investigation (12 hours).

Continuous blood glucose monitoring will be performed using the IR-Glucose Reader system and/or the IR-CGM system based on microdialysis. In parallel blood glucose measurements will be performed every 15 min as reference. The measurements of the sensors will be calibrated with different schemes and the difference between the calibrated glucose readings and the reference blood glucose values will be determined.


Recruitment information / eligibility

Status Completed
Enrollment 8
Est. completion date January 2015
Est. primary completion date January 2015
Accepts healthy volunteers Accepts Healthy Volunteers
Gender Both
Age group 18 Years to 75 Years
Eligibility Inclusion Criteria:

- Informed consent obtained after being advised of the nature of the study

- Male or female aged 18 to 75 years (both inclusive)

- The subject has Type 1 diabetes (as defined by WHO) for at least 24 months

- Body Mass Index (BMI) <= 35 kg/m2

Exclusion Criteria:

- Subject is actively enrolled in another clinical trial or took part in a study within 30 days

- Experienced recurrent severe hypoglycaemic unawareness (as judged by the investigator)

- A history of drug or alcohol dependence

- Positive result for HIV antibodies

- Positive result for Hepatitis B antigen or Hepatitis C antibodies

- Any other significant concomitant disease such as endocrine, cardiac, neurological, malignant, other pancreatic disease or uncontrolled hypertension as judged by the investigator

- Patient is pregnant, or breast feeding during the period of the study

- Patient donated blood in the last 3 months

Study Design

Intervention Model: Single Group Assignment, Masking: Open Label, Primary Purpose: Basic Science


Related Conditions & MeSH terms


Intervention

Drug:
Insulin dosing

Device:
Glucose sensors IR-Glucose Reader (Joanneum Research, Austria), IR-CGM (IMM, Germany)


Locations

Country Name City State
Austria Medical University of Graz Graz Styria

Sponsors (2)

Lead Sponsor Collaborator
Medical University of Graz European Commission

Country where clinical trial is conducted

Austria, 

Outcome

Type Measure Description Time frame Safety issue
Other Distribution of the glucose values The glucose sensors will be tested over a range of different reference glucose values. The distribution of the glucose values (hypo-normo-hyperglycaemia) will be taken into account when calculating the difference (error) between the sensor- and reference value. 12 hours Yes
Other Malfunction of the systems Based on the fact that the sensors are in a very early development stage possible malfunctions of the sensor systems will be recorded and categorized to: mechanical, electrical, software and other malfunctions 12 hours Yes
Primary difference between calibrated measurements and reference The calibrated sensor signals will be compared with the reference blood glucose values. The difference between the calibrated sensor signal and the reference values will be calculated (which corresponds to the error of the sensor signal) 12 hours Yes
Secondary evaluate necessary run-in procedures by assessment of error over time Once the difference between sensor signal and the reference values is calculated these values will be investigated by looking at the data over time which enables to detect a possible change of the difference. 12 hours Yes
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