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

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-04-17

Study Completion Date

2020-06-05

Brief Summary

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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.

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Detailed Description

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Conditions

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COVID-19

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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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)

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No