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

Public Assistance-Hospitals of Marseille (AP-HM)

Status: Completed

Conditions: COVID-19

Study type: Observational

Funder types: Other

Identifiers

NCT04371744

CIL 2020-52

Details and patient eligibility

About

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.

Enrollment: 100 patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

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)