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Measurement Algorithm Control and Optimization with Subsequent Performance Evaluation of the Vital USA GlucoseDetectâ„¢ During a Standardized Meal Test in Patients with Diabetes mellitus Type 1 and Type 2
This study is a combined, open label, prospective, comparative single-center study.
The study is separated in 3 consecutive study parts. The first 2 study parts include 16 patients each. In the third study part 16 additional patients will be enrolled. Study part 1 and 2 will be used for optimization and validation of the measurement algorithms of the Vital USA biosensor. During the third study part with enrolment of 16 additional patients, the precision and accuracy of the final Vital USA biosensor algorithm will be demonstrated. The visit schedule for all participants of all 3 study parts will be exactly the same. In all groups of participants, the Vital USA non-invasive monitoring biosensor will be individually introduced and assigned. During the experimental study visit, a standardized meal will be given to the participants. Before and after the standardized meal, glucose, heart rate, and pO2 will be measured using the Vital USA monitoring biosensor at time-points -30, 0, 15, 30, 45, 60, 75, 90, 120, 150 and 180 min. The glucose measurements will be compared to capillary blood glucose measurements by YSI Stat 2300. Parallel measurements of the heart rate and the pO2 using a patient monitor will be compared to the device readings.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Vital GlucoseDetect | Device | 11 time points for blood glucose measurements over 210 min including the ingestion of a standardized meal 30 min after the first blood glucose measurement. |
| Measure | Description | Time Frame |
|---|---|---|
| Performance and accuracy in glucose monitoring and other parameters | Performance and accuracy in monitoring glucose levels (in mg/dL) using the GlucoseDetect during a standardized meal experiment. Measurements (during the meal experiment) of the GlucoseDetectTM will be compared to the capillary blood glucose reference method YSI STAT 2300 (glucose in mg/dL). | 210 min |
| Performance and accuracy in pO2 monitoring | Performance and accuracy in monitoring pO2 levels (in mmHg) using the GlucoseDetect during a standardized meal experiment. Measurements (during the meal experiment) of the GlucoseDetectTM will be compared to a patient monitor (pO2 (in mmHg). | 210 min |
| Performance and accuracy in pulse monitoring | Performance and accuracy in monitoring the pulse (in beats/min) using the GlucoseDetect during a standardized meal experiment. Measurements (during the meal experiment) of the GlucoseDetectTM will be compared to a patient monitor (pulse (in beats/min). | 210 min |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Andreas Pfützner, Prof. Dr. Dr. | Pfützner Science & Health Institute GmbH | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Pfützner Science & Health Institute GmbH | Mainz | Rhineland-Palatinate | 55128 | Germany |
the study will be summarized in a final report
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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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patients are divided in two groups and both groups are enrolled sequential and undergo the same procedures
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