AIDI - Research & Development of a Multisensor-Based Machine Learning Technology for Real-Time Automated Detection of COVID-19 Decompensation

NCT05220306 | Withdrawn FDA Device

• 1 other identifier: ADR04-AIDI-C-21
• Study Type: interventional
• Target: N/A
• Locations: 1 country
• Sites: 1

Brief Summary

The AIDI study has to phases. It's purpose is to capture vital signs using a non-invasive, hand-held, home monitoring device (MouthLab Device) from individuals with COVID-19 or who test positive for SARS-CoV-2 (Phase I) and use an algorithm-based approach to identify individuals at risk of clinical decompensation (Phase II). Up to 500 unvaccinated and partially vaccinated subjects will be included (up to 100 in Phase I and up to 400 in Phase II).

Conditions

Sars-CoV-2 Infection

Outcome Measures

Primary Outcomes (2)

• Collect trends in physiological vital signs and symptom burden to identify individuals who are at risk of clinical decompensation

  Accurately collect trends in physiological vital signs and symptom burden of individuals with COVID-19 infection or who test positive for SARS-CoV-2 captured with the MouthLab to identify individuals who are at risk of clinical decompensation. (Phase 1)

  Daily for 60 days

• AIDI evaluation

  Evaluate trends in physiological vital signs and symptom burden of individuals with COVID-19 infection or who test positive for SARS-CoV-2 which are captured with the MouthLab device to evaluate the ability of the Aidar COVID-19 Decompensation Index (AIDI) to accurately identify individuals at risk of clinical decompensation. (Phase 2)

  Daily for 60 days

Secondary Outcomes (2)

• Usability of MouthLab device

  At 60 days

• Evaluate any short-term changes in vital signs among patients with underlying comorbid conditions

  Day 0 to Day 60

Study Arms (1)

Device Arm

EXPERIMENTAL

Participants will use the MouthLab device for monitoring their vital signs

Device: Monitoring of vital signs

Interventions

Monitoring of vital signs DEVICE

The MouthLab is a hand-held device. The user holds the unit in their left hand with the Mouthpiece between the teeth and lips and breathes normally into the device for 30 seconds.

Device Arm

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Male or female 18 years of age or older
• Unvaccinated individuals, or individuals who have received only 1 dose of an mRNA vaccine
• Individuals who have received a positive SARS-CoV-2 result within 24-48 hours (lab-based PCR or antigen test)
• Willing and able to provide informed consent
• Ability to read, write, and comprehend English
• Have no functional limitation that would impede the use of the MouthLab device
• Willing to provide access to health information via electronic health records (EHR)

You may not qualify if:

• Currently receiving hospice care
• Have a left ventricular assist device
• Left-sided hemiplegia or any other motor deficits that may restrict the use of the device.
• individuals with cognitive deficits that impede their ability to comprehend and give informed consent.
• Individuals who are enrolled in any other investigational research studies of SARS-CoV2 or COVID-19
• Individuals who are treated with monoclonal antibody therapy prior to diagnosis
• Individuals who are admitted to a hospital or acute care facility at the time of diagnosis
• Individuals with pacemakers or implanted cardio-defibrillators (ICDs)
• History of hemoptysis, pneumothorax, thoracic or abdominal aneurysm, pulmonary embolism, or stroke
• History of unstable cardiovascular status, including recent myocardial infarction (MI within 30 days), unstable angina, or uncontrolled hypertension Color blindness
• Chest, abdominal or eye surgery within the preceding 14 days
• Any condition that in the judgment of the investigators would interfere with the subject's ability to provide informed consent, comply with study instructions, place the subject at increased risk, or which might confound interpretation of study results.

Sponsors & Collaborators

• AIDAR Health, Inc.: lead
• Avania: collaborator

Study Sites (1)

Maxis Llc

San Jose, California, 95120, United States

Location

Related Publications (1)

• Mathew J, Pagliaro JA, Elumalai S, Wash LK, Ly K, Leibowitz AJ, Vimalananda VG. Developing a Multisensor-Based Machine Learning Technology (Aidar Decompensation Index) for Real-Time Automated Detection of Post-COVID-19 Condition: Protocol for an Observational Study. JMIR Res Protoc. 2025 Mar 27;14:e54993. doi: 10.2196/54993.

  PMID: 40146983 DERIVED

MeSH Terms

Conditions

COVID-19

Condition Hierarchy (Ancestors)

Pneumonia, Viral; Pneumonia; Respiratory Tract Infections; Infections; Virus Diseases; Coronavirus Infections; Coronaviridae Infections; Nidovirales Infections; RNA Virus Infections; Lung Diseases; Respiratory Tract Diseases

Study Officials

• Sujith Shetty, MD

  Avania

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: DIAGNOSTIC
• Intervention Model: SEQUENTIAL
• Sponsor Type: INDUSTRY
• Responsible Party: SPONSOR

Model Details: Phase I/Derivation Cohort (100 patients): This phase will use the MouthLab to capture vital signs. This data will help create Aidar's algorithm-based decompensation index (AIDI) that utilizes changes in vital signs to identify individuals who test positive for SARS-CoV-2 or with COVID-19 infection and are at risk of developing clinical decompensation. Phase II/Validation Cohort (400 patients): This phase will use the MouthLab to capture vital signs and use Aidar's algorithm-based decompensation index (AIDI) to identify individuals at risk of clinical decompensation.

Study Record Dates

• First Submitted: February 1, 2022
• First Posted: February 2, 2022
• Study Start: January 27, 2022
• Primary Completion: July 31, 2022
• Study Completion: July 31, 2022
• Last Updated: February 8, 2023

Record last verified: 2022-02

Data Sharing

• IPD Sharing: Will not share

Locations

US (1)