Medical Information Only. Always consult your healthcare provider before enrolling in any clinical trial.

NCT05713266 · ClinicalTrials.gov registry record

Using Data From a Multisensor Rapid Health Assessment Device to Predict Decompensation in Long COVID (AIDI)

A clinical trial, sponsored by Edith Nourse Rogers Memorial Veterans Hospital.

Completed
Registry status
204
Enrollment target

NCT05713266 is a clinical trial that has completed, run by Edith Nourse Rogers Memorial Veterans Hospital. The registered enrollment target is 204 participants.

View on ClinicalTrials.gov ↗

View your shortlist →

The verdict

NCT05713266 has completed, sponsored by Edith Nourse Rogers Memorial Veterans Hospital.

COMPLETED
Registry status
204 participants
Enrollment target

Study Summary

We are conducting a research study at the VA hospital in Bedford, MA to learn more about how a multisensor rapid health assessment device, MouthLab, can help predict or anticipate future health complications in patients with underline conditions after contracting COVID-19. The device was created by a health technology and digital medicine company called Aidar Health, Inc. MouthLab is a non-invasive, hand-held device that works like a breathalyzer. An individual breathes into the device for 60 seconds and the MouthLab gathers more than 10 vital health parameters like temperature, heart rate, SpO2, ECG, and basic lung functions. Participation in the study will last for 6 months, and the purpose is to gather health information from people who have been previously hospitalized with COVID-19. We will use the data to develop an algorithm that predicts future complications of COVID-19, especially among patients with complex conditions (i.e., heart failure, chronic kidney disease, diabetes, hypertension, asthma, chronic obstructive pulmonary disease), and enables early intervention.

Interventions

  • DEVICE MouthLabTM

Trial Details

FieldValue
Enrollment Target 204 participants
Start Date 2022-10-31
Est. Completion 2024-02-29

What the Registry Record Tells You About NCT05713266

The ClinicalTrials.gov registry entry for NCT05713266 describes a study currently listed as completed, categorized as an unspecified phase. The registered enrollment target is 204 participants, a figure that helps gauge the scale of data the investigators plan to collect. The listed sponsor is Edith Nourse Rogers Memorial Veterans Hospital, which has 3 total studies on file at ClinicalTrials.gov.

The record links to 0 conditions, and to 1 intervention - of which MouthLabTM is the first listed.

NCT05713266 reports 0 study locations.

Frequently Asked Questions

What is clinical trial NCT05713266 about?

NCT05713266 is a clinical study titled "Using Data From a Multisensor Rapid Health Assessment Device to Predict Decompensation in Long COVID (AIDI)". We are conducting a research study at the VA hospital in Bedford, MA to learn more about how a multisensor rapid health assessment device, MouthLab, can help predict or anticipate future health complications in patients with underline conditions after contracting COVID-19. The device was created by ...

What is the current status of trial NCT05713266?

This trial is currently completed. The enrollment target is 204 participants. The study started on 2022-10-31. Estimated completion is 2024-02-29.

What interventions are being tested in trial NCT05713266?

The interventions under investigation include: MouthLabTM (DEVICE).

Who is sponsoring clinical trial NCT05713266?

This trial is sponsored by Edith Nourse Rogers Memorial Veterans Hospital, which has 3 total clinical trials registered on ClinicalTrials.gov.

Data sourced from official public datasets. See our methodology for details. Retrieved and formatted by PlainTrial Editorial

Every figure on PlainTrial is rendered directly from the ClinicalTrials.gov registry, no number is typed in by an editor. This page mirrors this trial's own ClinicalTrials.gov registry record, live from the dataset. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.