Official Title
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
Brief Summary

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.

Completed
COVID-19
Eligibility Criteria

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)

Eligibility Gender
All
Eligibility Age
Minimum: 18 Years ~ Maximum: N/A
Countries
France
Locations

Assistance Publique Hôpitaux de Marseille
Marseille, France

Assistance Publique Hopitaux De Marseille
NCT Number
MeSH Terms
COVID-19