2019-nCoV Disease, 2019 Novel Coronavirus Disease, 2019 Novel Coronavirus Infection, Coronavirus Disease-19, Coronavirus Disease 2019, COVID-19 Pandemic, COVID-19 Virus Disease, COVID-19 Virus Infection, SARS-CoV-2 Infection
Conditions
Keywords
Delta, Omicron, FCV-SDS, Artificial Intelligence, Signal Data Signature, Forced Cough Vocalization, Dx SaMD, SaMD, Diagnostic Software as Medical Device, Software as Medical Device, AI/ML
Brief summary
The AudibleHealth Dx is a diagnostic software as a medical device (Dx SaMD) consisting of an ensemble of software subroutines that interacts with a proprietary database of Signal Data Signatures (SDS), using Artificial Intelligence/Machine Learning (AI/ML) to analyze forced cough vocalization signal data signatures (FCV-SDS) for diagnostic purposes. This study will evaluate the performance of the AudibleHealth Dx in comparison to a standard of care Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) test for the diagnosis of COVID-19. A secondary purpose of the study will be usability testing of the device for participants and providers.
Detailed description
The study is a prospective, multi-site, non-inferiority trial comparing the AudibleHealth Dx to FDA approved COVID-19 RT-PCR testing to demonstrate non-inferiority of the PPA and NPA when using this device to diagnose COVID-19 illness. The AudibleHealth Dx test and the BioFire Respiratory 2.1 (RP2.1) (brand name) test will be performed for each participant during a single encounter. Participants and staff will be blinded to AudibleHealth Dx results and the RT-PCR status at the time of testing. No one will know both results in real-time except for the Site Coordinators and unblinded statistician specifically authorized to have these results for enrollment, audit, data tracking, and data compiling purposes. • Unblinding of the results will occur after the AudibleHealth Dx, RT-PCR, and the second RT-PCR results (if necessary for discordance) have been obtained. Results for the RT-PCR test will be received by the participant according to the clinical site's protocol. Target enrollment for this trial will be 65 COVID-19 positive cases and 152 COVID-19 negative cases, presuming a prevalence of 0.30 for a total of 217 subjects meeting all inclusion criteria.
Interventions
DEVICEDiagnostic Test: Diagnostic Software as Medical Device
AudibleHealth Dx is an investigational Dx SaMD consisting of an ensemble of software subroutines that interacts with a proprietary database of signal data signatures (SDS) using Artificial Intelligence/Machine Learning (AI/ML) to analyze forced cough vocalization signal data signatures (FCV-SDS) for diagnostic purposes. The intended use for the AudibleHealth Dx AI/ML-based Dx SaMD using FCV-SDS is for the diagnosis of acute and chronic illnesses, specifically COVID-19 illness for this study.
Sponsors
Sunrise Research Institute
Analytical Solutions Group, Inc.
Kelley Medical Consultants LLC
R. P. Chiacchierini Consulting, LLC
AudibleHealth AI, Inc.
Study design
Observational model
CASE_ONLY
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 100 Years
Healthy volunteers
Yes
Inclusion criteria
* 18 years of age or older * Present for elective, outpatient COVID-19 RT-PCR testing * Meet the FDA EUA approved indications for use for RT-PCR nasal swab testing for COVID-19 * Stated willingness to comply with all trial procedures and availability for the duration of the trial * Informed consent must be obtained prior to testing * Ability to complete both the informed consent form and the screens on the medical device app in English (no translation to other languages is currently available)
Exclusion criteria
* Any individual who was a part of the AudibleHealth Dx Development, Training, and Usability trial (Training and test data sets are to be kept strictly separate.) * Less than 18 years of age * Unable to produce a voluntary forced cough vocalization (FCV) * Recent acute traumatic injury to the head, neck, throat, chest, abdomen or trunk * Patent tracheostomy stoma * Recent chest / abdomen / trunk trauma or surgery, recent / persistent neurovascular injury or recent intracranial surgery * Medical history of cribriform plate injury or cribriform plate surgery, diaphragmatic hernia, external beam neck / throat / maxillofacial radiation, phrenic nerve injury/palsy, radical neck / throat / maxillofacial surgery, vocal cord trauma or nodules * Since persons with aphasia may have difficulty in producing an FCV-SDS in the time allotted by the app, this population also will be excluded from the current trial
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Non-inferiority of the positive percent agreement (PPA) | Participants will have a single encounter lasting less than one hour; anticipated study duration is 6 weeks. Target enrollment is 65 positive and 152 negative participants. | To demonstrate non-inferiority of the positive percent agreement (PPA) of the AudibleHealth Dx when compared to FDA approved SARS CoV-2 RT-PCR testing for the diagnosis of COVID-19 illness |
| Non-inferiority of the negative percent agreement (NPA) | Participants will have a single encounter lasting less than one hour; anticipated study duration is 6 weeks. Target enrollment is 65 positive and 152 negative participants. | 2\. To demonstrate non-inferiority of the negative percent agreement (NPA) of the AudibleHealth Dx when compared to FDA approved SARS-CoV-2 RT-PCR testing for the diagnosis of COVID-19 illness. |
Countries
United States
Outcome results
None listed