QT-Logs : Artificial Intelligence for QT Interval Analysis of ECG From Smartwatches in Patient Receiving Treatment for Covid-19 (QT-Logs)

QT-Logs : a Clinical Study to Monitor Cardiac Safety, With Artificial Intelligence for QT Interval Analysis of ECG Data From Smartwatches, in Patients Receiving Hydroxychloroquine Treatment for COVID-19

This observational pilot prospective study will evaluate a new method for remote monitoring of corrected QT measurement using an artificial intelligence (AI)-based solution and ECG data collected via smartwatches (AI-QTc), in patients ambulatory treated with the HC-AZ combination, at the early stage of COVID-19 infection, at a tertiary hospital center. Daily ECGs will be performed via the smartwatches. AI-QTc will be compared to standard manual QTc reviewed by cardiologist. Correlation and agreement between measures will be assessed.

Study Overview

Status

Completed

Conditions

Study Type

Observational

Enrollment (Actual)

100

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Marseille, France, 13005
        • Assistance Publique Hopitaux de Marseille

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

100 consecutives patients ambulatory treated with the Hydroxychloroquine and Azythromycine combination, at the early stage of COVID-19 infection for 10 days, at the university hospital of La Timone, in Marseille

Description

Inclusion Criteria:

  • Patient over 18 years old
  • SARS-COV-2 confirmed infection by positive nasopharyngual PCR
  • Prescription of association hydroxychloroquine and azythromycine for COVI-19 therapy
  • Patient's smartphone able to download the smartwatches application

Exclusion Criteria:

  • Presence of a pacemaker
  • Pregnant or breastfeeding females
  • Refusal to participate
  • Incapacity
  • Adult under legal protection (trusteeship, guardianship)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Corrected QT (QTc) interval measurement
Time Frame: 10 days
Measurement of QTc using an artificial intelligence (AI)-based solution and ECG data collected via smartwatches, compare to standard 12 leads ECG reviewed by cardiologist
10 days

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 17, 2020

Primary Completion (Actual)

June 4, 2020

Study Completion (Actual)

June 5, 2020

Study Registration Dates

First Submitted

April 30, 2020

First Submitted That Met QC Criteria

April 30, 2020

First Posted (Actual)

May 1, 2020

Study Record Updates

Last Update Posted (Actual)

June 9, 2020

Last Update Submitted That Met QC Criteria

June 5, 2020

Last Verified

June 1, 2020

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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