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

Assistance Publique Hopitaux De Marseille100 enrolled

Overview

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 Type

OBSERVATIONAL

Enrollment

100

Conditions

COVID-19

Eligibility

Sex: ALLMin age: 18 Years

Medical Language ↔ Plain English

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)

Locations (1)

Assistance Publique Hôpitaux de Marseille

Marseille, France

Outcomes

Primary Outcomes

Corrected QT (QTc) interval measurement

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

Time frame: 10 days