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

P

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)

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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