Accuracy and Safety of the Syai Tag System for Continuous Glucose Monitoring in Intensive Internal Care Unit
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Contact
Study Contact
- Name: Nika Kravos Tramšek, MD PhD
- Phone Number: +38631423030
- Email: nikakravos@gmail.com
Study Locations
-
-
-
Maribor, Slovenia, 2000
- Recruiting
- UMC Maribor
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Admission to the intensive care unit
- Expected ICU stay more than 24 hours
- Presence of an arterial line
Exclusion Criteria:
- Age under 18
- Pregnancy
- Skin changes that prevent sensor application
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Device Feasibility
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: CGM
patients who will be hospitalized in the intensive internal medicine department and will receive CGM for glucose monitoring
|
patients who will be hospitalized in the intensive internal medicine department and will receive CGM for glucose monitoring
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Percentage of sensor functional uptime during the ICU stay.
Time Frame: From enrollment to discharge or up to 14 days.
|
The proportion of time during which the CGM system continuously provided glucose data without signal loss or mechanical sensor failure.
|
From enrollment to discharge or up to 14 days.
|
|
Mean Absolute Relative Difference (MARD) between CGM and arterial blood gas glucose measurements.
Time Frame: From admission to discharge or up to 14 days.
|
Statistical comparison between CGM values and reference laboratory measurements from arterial blood to assess the accuracy of the device.
|
From admission to discharge or up to 14 days.
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Impact of noradrenaline on Mean Absolute Relative Difference (MARD) between CGM and arterial glucose measurements.
Time Frame: From enrollment to discharge or up to 14 days.
|
The MARD will be calculated to assess CGM accuracy compared to the gold standard (arterial blood gas).
To evaluate the impact of noradrenaline, MARD will be stratified and compared between two patient groups: those receiving noradrenaline (Yes) and those not receiving noradrenaline (No).
Unit of Measure: Percentage (%).
|
From enrollment to discharge or up to 14 days.
|
|
CGM lifespan in ICU conditions.
Time Frame: From enrollment to discharge or up to 14 days.
|
The effective duration of CGM sensor function will be evaluated and compared to the manufacturer's expected lifespan.
|
From enrollment to discharge or up to 14 days.
|
|
CGM glucose measurements are comparable to arterial blood glucose measurements.
Time Frame: From enrollment to discharge or up to 14 days.
|
We will measure glucose in interstitial fluid with a CGM, expressed in mmol/l, and obtain arterial blood to determine blood glucose in mmol/l, and compare the analyses.
|
From enrollment to discharge or up to 14 days.
|
Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Sensor reliability and failure rate.
Time Frame: From enrollment to discharge or up to 14 days.
|
The frequency of CGM sensor failures (signal loss, detachment or need for replacement) will be recorded and analysed.
|
From enrollment to discharge or up to 14 days.
|
|
Causes of sensor malfunction.
Time Frame: From enrollment to discharge or up to 14 days.
|
Reasons for CGM sensor replacement (e.g.
poor adhesion, calibration failure, mechanical damage, interference from clinical procedures) will be descriptively documented.
We will count the number of sensor malfunction events.
|
From enrollment to discharge or up to 14 days.
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Nika Kravos Tramšek, MD PhD, UMC Maribor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- OIIM CGM
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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