Non-Invasive Blood Test Cross-Validation Study

June 20, 2019 updated by: Joseph Allen Jr.

Remote Sensing Comprehensive Metabolic Panel

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.

Study Overview

Study Type

Interventional

Enrollment (Actual)

90

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • North Dakota
      • Grand Forks, North Dakota, United States, 58201
        • Altru Health System

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

Yes

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • Undiagnosed population

Exclusion Criteria:

  • Diagnosed population, pregnant women, mental heath/disabled, prisoners, fetus or deceased

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Supportive Care
  • Allocation: Randomized
  • Interventional Model: Factorial Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: NICMP Spectral Reading
Non-invasive spectral data is collected from this arm to function as the intervention of interest.
The device utilizes spectroscopy and machine learning to detect metabolic analyte concentrations.
Active Comparator: Venipuncture CMP

A 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.

The device utilizes spectroscopy and machine learning to detect metabolic analyte concentrations.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Performance of Non-Invasive Comprehensive Metabolic Panel
Time Frame: 2-minutes
Determine the effectiveness, in terms of accuracy, of the NICMP against the venipuncture CMP (i.e. reference value).
2-minutes

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

July 18, 2018

Primary Completion (Actual)

September 11, 2018

Study Completion (Actual)

March 1, 2019

Study Registration Dates

First Submitted

June 1, 2019

First Submitted That Met QC Criteria

June 18, 2019

First Posted (Actual)

June 19, 2019

Study Record Updates

Last Update Posted (Actual)

June 24, 2019

Last Update Submitted That Met QC Criteria

June 20, 2019

Last Verified

June 1, 2019

More Information

Terms related to this study

Other Study ID Numbers

  • IRB-201807-004

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

Yes

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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