COVID-19 Clinical Trial
Official title:
Wearable Diagnostic for Detection of COVID-19 Infection
| NCT number | NCT04742569 |
| Other study ID # | 1294415 |
| Secondary ID | |
| Status | Completed |
| Phase | |
| First received | |
| Last updated | |
| Start date | December 21, 2020 |
| Est. completion date | January 15, 2022 |
| Verified date | January 2022 |
| Source | ClinOne, Inc. |
| Contact | n/a |
| Is FDA regulated | No |
| Health authority | |
| Study type | Observational |
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.
| Status | Completed |
| Enrollment | 790 |
| Est. completion date | January 15, 2022 |
| Est. primary completion date | January 15, 2022 |
| Accepts healthy volunteers | Accepts Healthy Volunteers |
| Gender | All |
| Age group | 18 Years and older |
| Eligibility | Cohort 1- Exposed/ Early Symptomatic Group Inclusion Criteria: 1. age 18 or older; 2. able to follow the study device wear instructions per the Instructions for Use; 3. no positive viral test within 60 days prior to enrollment; and 4. willing and able to provide written, informed consent. Exclusion Criteria: 1. pregnant or breastfeeding; 2. wearing a defibrillator or pacemaker; 3. known or suspected cardiac dysrhythmias 4. known or suspected allergy to adhesives; 5. chronic daily use of non-steroidal anti-inflammatory medications (NSAIDs) and antipyretic medications 6. open wounds or infected, irritated, scarred, or inflamed areas of skin on the upper chest preventing placement of the biosensor; and 7. 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: 1. Age 18 or older; 12 years of age -17 years of age are approved to participate in the vaccine Cohort portion of the study. 2. scheduled to receive their first and second dose of the Pfizer/BioNTech or Moderna COVID-19 vaccine 3. able to follow the study device wear instructions per the Instructions for Use; 4. no positive viral test within 60 days prior to enrollment; and 5. willing and able to provide written, informed consent. 6. 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: 1. pregnant or breastfeeding; 2. wearing a defibrillator or pacemaker; 3. known or suspected cardiac dysrhythmias 4. known or suspected allergy to adhesives; 5. chronic daily use of non-steroidal anti-inflammatory medications (NSAIDs) and antipyretic medications 6. open wounds or infected, irritated, scarred, or inflamed areas of skin on the upper chest preventing placement of the biosensor; and 7. current or planned use of either an investigation pharmaceutical or an investigational device during the study. 8. previously fully vaccinated subjects |
| Country | Name | City | State |
|---|---|---|---|
| United States | ClinOne, Inc | Greenwood Village | Colorado |
| Lead Sponsor | Collaborator |
|---|---|
| ClinOne, Inc. | BioIntelliSense, Inc, Phillips North America, LLC, United States Department of Defense, University of Colorado, Denver |
United States,
Buitrago-Garcia D, Egli-Gany D, Counotte MJ, Hossmann S, Imeri H, Ipekci AM, Salanti G, Low N. Occurrence and transmission potential of asymptomatic and presymptomatic SARS-CoV-2 infections: A living systematic review and meta-analysis. PLoS Med. 2020 Sep — View Citation
Kucirka LM, Lauer SA, Laeyendecker O, Boon D, Lessler J. Variation in False-Negative Rate of Reverse Transcriptase Polymerase Chain Reaction-Based SARS-CoV-2 Tests by Time Since Exposure. Ann Intern Med. 2020 Aug 18;173(4):262-267. doi: 10.7326/M20-1495. — View Citation
Natarajan A, Su HW, Heneghan C. Assessment of physiological signs associated with COVID-19 measured using wearable devices. NPJ Digit Med. 2020 Nov 30;3(1):156. doi: 10.1038/s41746-020-00363-7. — View Citation
Ra SH, Lim JS, Kim G, et al. Thorax Epub ahead of print: 2020 September 22; doi:10.1136/ thoraxjnl-2020-215042
Rudolph, J., Halladay, C., Barber, M., McConeghy, K., Mor, V., Nanda, A., Gravenstein, S. (2020) Temperature in Nursing Home Residents Systematically Tested for SARS-CoV-2. Elsevier Inc. on behalf of AMDA -The Society for Post-Acute and Long-Term Care Med
| Type | Measure | Description | Time frame | Safety issue |
|---|---|---|---|---|
| Primary | The primary outcome of interest are performance of the BioSticker, a medical grade multi-parameter wearable biosensor. | Biometric data will be measured for 14 days using the application of the BioSticker on the upper left side of the chest. | 14 days | |
| Primary | The primary outcome of interest are performance of the BioSticker, a medical grade multi-parameter wearable biosensor. | Vital Signs measurements will be collected for 14 days using the application of the BioSticker on the upper left side of the chest. | 14 days | |
| Primary | The primary outcome of interest are performance of the BioSticker wearable for detecting early onset of active COVID-19 related symptoms. | 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. | 14 days | |
| Primary | The primary outcome of interest is the sensitivity of the BioCloud-based algorithms in detecting early onset of active COVID-19. | 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. | 14 days | |
| Secondary | The secondary outcomes of interest include correlation of biometric data indicators to patient reported symptoms. | Individual-level experiential feedback will be reported through participant symptom- tracking and diagnostic questionnaires for 14 consecutive days. | 14 days |
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