Non-Invasive Blood Test Cross-Validation Study
Remote Sensing Comprehensive Metabolic Panel
1 other identifier
interventional
90
1 country
1
Brief Summary
The study considers a cross-validation approach to determine the effectiveness of a non-invasive comprehensive metabolic panel (NICMP), relative to the venipuncture method. The NICMP machine learned powered device utilizes a light sensor to capture readings from either palm. The study (n=90) proves an agreement and strong correlation with respect to the NICMP and venipuncture blood draw.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Jul 2018
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 18, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 11, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
March 1, 2019
CompletedFirst Submitted
Initial submission to the registry
June 1, 2019
CompletedFirst Posted
Study publicly available on registry
June 19, 2019
CompletedJune 24, 2019
June 1, 2019
2 months
June 1, 2019
June 20, 2019
Conditions
Outcome Measures
Primary Outcomes (1)
Performance of Non-Invasive Comprehensive Metabolic Panel
Determine the effectiveness, in terms of accuracy, of the NICMP against the venipuncture CMP (i.e. reference value).
2-minutes
Study Arms (2)
NICMP Spectral Reading
EXPERIMENTALNon-invasive spectral data is collected from this arm to function as the intervention of interest.
Venipuncture CMP
ACTIVE COMPARATORA standard CMP blood draw is performed to function as the "gold standard" reference value. Specifically, the outcome of the experimental arm is cross-validated against the active comparator arm to determine the NICMP accuracy, relative to the venipuncture method.
Interventions
The device utilizes spectroscopy and machine learning to detect metabolic analyte concentrations.
Eligibility Criteria
You may qualify if:
- Undiagnosed population
You may not qualify if:
- Diagnosed population, pregnant women, mental heath/disabled, prisoners, fetus or deceased
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Joseph Allen Jr.lead
- University of North Dakotacollaborator
Study Sites (1)
Altru Health System
Grand Forks, North Dakota, 58201, United States
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- FACTORIAL
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR INVESTIGATOR
- PI Title
- Chief Executive Officer/Biomedical Engineer
Study Record Dates
First Submitted
June 1, 2019
First Posted
June 19, 2019
Study Start
July 18, 2018
Primary Completion
September 11, 2018
Study Completion
March 1, 2019
Last Updated
June 24, 2019
Record last verified: 2019-06