COVID-19
Conditions
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.
Interventions
None listed
Sponsors
Study design
Eligibility
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)
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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 |
Countries
France