Noninvasive Glucose Measurements - Database and Calibration Compilation
Trial Snapshot
- Phase
- Not Applicable
- Status
- Terminated
- Sponsor
- RSP Systems A/S
- Enrollment
- 62
- Locations
- 2
- Primary Endpoint
- Calibration models for device predictive purposes
Study Overview
Brief Summary
This study collected spectral raman data from diabetic patients. Data was paired with validated capillary references as well as CGM/FGM readings. Data was used to develop models for glucose prediction.
Detailed Description
This trial constitutes three subprotocols: "The OUH protocol", "The Home 1 protocol" and "The Home 2 protocol" The investigation was initiated to collect spectral raman data paired with validated blood references. In the OUH protocol, capillary blood was analysed by ABL 800 Flex blood gas analyzer by Radiometer. In the Home 1 protocol, references were obtained by the finger pricking procedure from HemoCue (Radiometer). In the Home 2 protocol, HemoCue measurements were conducted along with continuous monitoring using Dexcom G4/G5 device (Dexcom) or FreeStyle Libre (Abbott) The data was collected from diabetic patients and Optical Coherence Tomography (OCT) readings were obtained from all subjects.
Study Design
- Study Type
- Interventional
- Allocation
- Non Randomized
- Intervention Model
- Parallel
- Primary Purpose
- Basic Science
- Masking
- None
Eligibility Criteria
- Ages
- 18 Years to — (Adult, Older Adult)
- Sex
- All
- Accepts Healthy Volunteers
- Yes
Inclusion Criteria
- •Subjects with and without diabetes including pregnant women
Exclusion Criteria
- •Subject under 18 years of age
- •Subjects not able to understand provided information
- •Subjects without measuring sites
- •Subjects with rash or wound on measuring sites
- •Subjects with stained fingers, such a oil or nicotine
- •Subjects not capable of holding arm/hand steadily on probe
- •Subjects with thrombosis in arm/hand
Outcomes
Primary Outcomes
Calibration models for device predictive purposes
Time Frame: 6 months
Spectral raman data paired with validated references used to develop predictive algorithms with glucose prediction capablities. The preformance was validated using the consensus error grid.
Secondary Outcomes
No secondary outcomes reported