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The study was established to collect data and reference measurements in order to establish calibration models for the Prototype 0.3
Subjects are recruited at two different sites.
Site 1: In group 1 subjects will on their regular stay in the clinic perform four measurement sessions a day. A measurement session consist of a reference capillary blood sample and two measures on the IMD.
Site 2: The study in group 2 consists of 26 home-based measurements and two in-clinic days. During the home measurements, 6 measurement sessions will be performed by the subjects a day. A measurement session consists of two reference BGMs, two reference CGMs and two measurements on the device. On in-clinic visits, subjects will be administered high glucose breakfast and the following 6-7 hours, measurement sessions are performed every 15 minutes.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| RSP-09-01 | Experimental | Enrolled subjects will perform 4 daily measurement session during their regular stay at the clinic. A measurement session consists of a reference capillary blood sample and two measurements on the Prototype 0.3. |
|
| RSP-09-02 | Experimental | Enrolled subjects will measure at home for 26 six days and visit the clinic two times. During home measurements, 6 measurement sessions will be performed by the subject a day. A measurement session consists of two BGMs, two CGMs and two measurements on the Prototype 0.3. On in-clinic visits the subject will be administered a high glucose breakfast and the following 6-7 hours, measurement sessions will be performed every 15 minutes. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Prototype 0.3 | Device | Prototype 0.3 is a non-invasive glucose monitoring device using Raman spectroscopy |
|
| Measure | Description | Time Frame |
|---|---|---|
| Generation and validation of predictive models by Inter Subject Unified Performance (ISUP). | Spectral Raman data will be collected together with paired reference measurements. Collected data will be used to generate calibration models capable of predicting tissue glucose levels. Models will be validated on independent data sets using the ISUP measure. | 2 years |
| Generation and validation of predictive models by Mean Absolute Relative Difference (MARD) measures | Spectral Raman data will be collected together with paired reference measurements. Collected data will be used to generate calibration models capable of predicting tissue glucose levels. Models will be validated on independent data sets using the MARD measure. | 2 years |
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Inclusion Criteria:
Exclusion Criteria:
Additional exclusion criteria for study arm 2:
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| Name | Affiliation | Role |
|---|---|---|
| Guido Freckmann, Dr. | Institut für Diabetes-Technologie Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| m&i-Fachklinik Bad Heilbrunn - Zentrum für Diabetes und Stoffwechselerkrankungen | Bad Heilbrunn | 83670 | Germany | |||
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| ID | Term |
|---|---|
| D003920 | Diabetes Mellitus |
| ID | Term |
|---|---|
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
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| Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm |
| Ulm |
| 89081 |
| Germany |