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

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

Status
Withdrawn
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05220306
Acronym
AIDI
Enrollment
0
Registered
2022-02-02
Start date
2022-01-27
Completion date
2022-07-31
Last updated
2023-02-08

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Sars-CoV-2 Infection

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).

Interventions

DEVICEMonitoring of vital signs

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.

Sponsors

Avania
CollaboratorINDUSTRY
AIDAR Health, Inc.
Lead SponsorINDUSTRY

Study design

Allocation
NA
Intervention model
SEQUENTIAL
Primary purpose
DIAGNOSTIC
Masking
NONE

Intervention model description

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.

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* 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)

Exclusion criteria

* 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.

Design outcomes

Primary

MeasureTime frameDescription
Collect trends in physiological vital signs and symptom burden to identify individuals who are at risk of clinical decompensationDaily for 60 daysAccurately 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)
AIDI evaluationDaily for 60 daysEvaluate 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)

Secondary

MeasureTime frameDescription
Usability of MouthLab deviceAt 60 daysUsability of the MouthLab device will be assessed via a questionnaire at study exit
Evaluate any short-term changes in vital signs among patients with underlying comorbid conditionsDay 0 to Day 60Evaluate any short-term changes in vital signs among patients with underlying comorbid conditions

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026