Skip to main content
OpenTrials
Completed

NCT Number: NCT04742569

Wearable Diagnostic for Detection of COVID-19 Infection

The goals of this study are 1) to validate the use of a wearable diagnostic capability and software as a medical device (SaMD) algorithm for the pre or early-symptomatic detection of COVID-19 infection, 2) assess the wearable device on the subjects, and 3) ensure data are collected, securely stored, and easily read and interpreted by non-laboratory personnel.

Completed

Looking for future studies?

Notify Me

Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

ClinOne, Inc

Greenwood Village, Colorado, 80111, United States

About this study

This is an open label iterative study designed to calibrate the algorithm to maximize its test characteristics. The sample size is derived from the minimum number of COVID-19 subjects required to evaluate algorithm sensitivity and specificity. A sample size of 200 true positive COVID-19 infections is anticipated to assess device predictive analytics. Assuming a six-month enrollment period, a 15 percent patient lost to follow-up rate, and a positive COVID-19 infection rate of 10 percent within the study population, a sample size of 2,352 subjects will be enrolled in this prospective study.

Primary Outcomes: The primary outcomes of interest are performance of the BioSticker multiparameter vital signs wearable and the sensitivity of the BioCloud-based algorithms in detecting early onset of active COVID-19 related signs and symptom in subjects prior to or coincident with a positive COVID-19 diagnostic test and the specificity of the BioSticker algorithms in distinguishing positive diagnosis of infection from negative diagnosis of infection among subjects. COVID-19 infection will be confirmed by both participant affirmation and diagnostic laboratory testing. Additional primary outcome is the intuitive presentation of affirmative diagnostic results from the BioSticker early detection algorithm(s).

Secondary Outcomes: The secondary outcomes of interest include correlation of biometric data indicators to individual-level experiential feedback reported through participant symptom-tracking and diagnostic questionnaires.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Cohort 1- Exposed/ Early Symptomatic Group

Inclusion criteria

  • age 18 or older;
  • able to follow the study device wear instructions per the Instructions for Use;
  • no positive viral test within 60 days prior to enrollment; and
  • willing and able to provide written, informed consent.

Exclusion criteria

  • pregnant or breastfeeding;
  • wearing a defibrillator or pacemaker;
  • known or suspected cardiac dysrhythmias
  • known or suspected allergy to adhesives;
  • chronic daily use of non-steroidal anti-inflammatory medications (NSAIDs) and antipyretic medications
  • open wounds or infected, irritated, scarred, or inflamed areas of skin on the upper chest preventing placement of the biosensor; and
  • current or planned use of either an investigation pharmaceutical or an investigational device during the study.

Cohort 1- Vaccine Group

Inclusion criteria

Subjects seeking the mRNA-based Pfizer/BioNTech and Moderna vaccine series are eligible for the study if they are:

  • Age 18 or older; 12 years of age -17 years of age are approved to participate in the vaccine Cohort portion of the study.
  • scheduled to receive their first and second dose of the Pfizer/BioNTech or Moderna COVID-19 vaccine
  • able to follow the study device wear instructions per the Instructions for Use;
  • no positive viral test within 60 days prior to enrollment; and
  • willing and able to provide written, informed consent.
  • Willing and able to take an oral temperature

Exclusion criteria

Potential subjects seeking the mRNA-based Pfizer/BioNTech and Moderna vaccine series will be excluded from the study if they are or have any of the following:

  • pregnant or breastfeeding;
  • wearing a defibrillator or pacemaker;
  • known or suspected cardiac dysrhythmias
  • known or suspected allergy to adhesives;
  • chronic daily use of non-steroidal anti-inflammatory medications (NSAIDs) and antipyretic medications
  • open wounds or infected, irritated, scarred, or inflamed areas of skin on the upper chest preventing placement of the biosensor; and
  • current or planned use of either an investigation pharmaceutical or an investigational device during the study.
  • previously fully vaccinated subjects

Treatment and study plan

Primary outcomes

  1. The primary outcome of interest are performance of the BioSticker, a medical grade multi-parameter wearable biosensor.

    Time frame: 14 days

    Biometric data will be measured for 14 days using the application of the BioSticker on the upper left side of the chest.

  2. The primary outcome of interest are performance of the BioSticker, a medical grade multi-parameter wearable biosensor.

    Time frame: 14 days

    Vital Signs measurements will be collected for 14 days using the application of the BioSticker on the upper left side of the chest.

  3. The primary outcome of interest are performance of the BioSticker wearable for detecting early onset of active COVID-19 related symptoms.

    Time frame: 14 days

    Symptom tracking data will be collected through daily questionnaires for 14 consecutive days, administered through ClinOne. Health data known to be associated with COVID-19 risk and severity, including comorbid conditions, risk factors, and demographic data will be collected from subjects during screening and enrollment via the ClinOne study website.

  4. The primary outcome of interest is the sensitivity of the BioCloud-based algorithms in detecting early onset of active COVID-19.

    Time frame: 14 days

    BioSticker sensor data will be time-stamped and annotated against clinical events (e.g., fever, cough), symptom progression data, and other indicators of infection as they are identified. Weighting coefficients for predictive algorithms will be tuned and algorithms will be iteratively refined using machine learning methods and small batches of data anticipated to include between 20 and 50 positive cases per set, and validated against sensor data obtained from COVID-19-negative subjects.

Secondary outcomes

  1. The secondary outcomes of interest include correlation of biometric data indicators to patient reported symptoms.

    Time frame: 14 days

    Individual-level experiential feedback will be reported through participant symptom- tracking and diagnostic questionnaires for 14 consecutive days.

Sponsors and collaborators

Lead sponsor

ClinOne, Inc.

Industry

Collaborators

  • BioIntelliSense, Inc
  • Phillips North America, LLC
  • United States Department of Defense
  • University of Colorado, Denver

Registry information

Important dates

Study start
2020
Primary completion
2022
Study completion
2022
First posted
Feb 8, 2021
Registry last updated
Jan 20, 2022

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

Published trials that share one or more normalized conditions with this study.