QT-Logs : Artificial Intelligence for QT Interval Analysis of ECG From Smartwatches in Patient Receiving Treatment for Covid-19
- Conditions
- COVID-19
- Registration Number
- NCT04371744
- Lead Sponsor
- Assistance Publique Hopitaux De Marseille
- 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.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- COMPLETED
- Sex
- All
- Target Recruitment
- 100
- 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
- Presence of a pacemaker
- Pregnant or breastfeeding females
- Refusal to participate
- Incapacity
- Adult under legal protection (trusteeship, guardianship)
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Corrected QT (QTc) interval measurement 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
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Assistance Publique Hôpitaux de Marseille
🇫🇷Marseille, France