Measurement Algorithm Control, Optimization, and Performance Evaluation of the Vital USA GlucoseDetect

Measurement Algorithm Control and Optimization With Subsequent Performance Evaluation of the Vital USA GlucoseDetect™ During a Standardized Meal Test in Patients With Diabetes Mellitus Type 1 and Type 2

Measurement Algorithm Control and Optimization with Subsequent Performance Evaluation of the Vital USA GlucoseDetect™ During a Standardized Meal Test in Patients with Diabetes mellitus Type 1 and Type 2

Study Overview

• Status: Completed
• Conditions: Diabetes Mellitus
• Intervention / Treatment: Device: Vital GlucoseDetect

Detailed Description

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.

• Study Type: Interventional
• Enrollment (Actual): 32
• Phase: Not Applicable

Contacts and Locations

Study Locations

• Germany
  • Rhineland-Palatinate
    • Mainz, Rhineland-Palatinate, Germany, 55128
      • Pfützner Science & Health Institute GmbH

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 18 years to 99 years (Adult, Older Adult)
• Accepts Healthy Volunteers: Yes
• Genders Eligible for Study: All

Description

Inclusion Criteria:

• Type 1 or Type 2 diabetic or healthy subject (50 % from each)
• Subjects who are able to complete informed consent form (by him/herself or by his/her guardian);
• 18 years old and above;
• Anatomically suitable finger in discretion of the investigator

Exclusion Criteria:

• Does not meet inclusion criteria;
• Any conditions that may hamper good visual contact between the finger or wrist and sensor, such as raised birthmarks, scars, tattoos;
• Pregnancy;
• Nursing mothers;
• Any skin scratch(es), damage, over dry, long nails on the measured finger;
• Unsuitable finger with the device might be excluded if recognized during the trial;
• Medication containing nitrates

Study Plan

How is the study designed?

Design Details

• Primary Purpose: Diagnostic
• Allocation: N/A
• Interventional Model: Single Group Assignment
• Masking: None (Open Label)

What is the study measuring?

Primary Outcome Measures

Outcome Measure	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

Collaborators and Investigators

• Sponsor: Sciema UG
• Investigators: Principal Investigator: Andreas Pfützner, Prof. Dr. Dr., Pfützner Science & Health Institute GmbH

Study record dates

Study Major Dates

• Study Start (Actual): June 3, 2019
• Primary Completion (Actual): October 31, 2019
• Study Completion (Actual): November 30, 2019

Study Registration Dates

• First Submitted: March 23, 2020
• First Submitted That Met QC Criteria: April 7, 2020
• First Posted (Actual): April 9, 2020

Study Record Updates

• Last Update Posted (Actual): April 9, 2020
• Last Update Submitted That Met QC Criteria: April 7, 2020
• Last Verified: April 1, 2020

More Information

Terms related to this study

• Additional Relevant MeSH Terms: Glucose Metabolism Disorders; Metabolic Diseases; Endocrine System Diseases; Diabetes Mellitus
• Other Study ID Numbers: VIT-NGM-001

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO
• IPD Plan Description: the study will be summarized in a final report

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No