Status:

UNKNOWN

Artificial Intelligence-assisted Diagnosis and Prognostication in COVID-19 Using Electrocardiograms

Lead Sponsor:

Imperial College London

Collaborating Sponsors:

Imperial College Healthcare NHS Trust

Chelsea and Westminster NHS Foundation Trust

Conditions:

Coronavirus

Eligibility:

All Genders

18+ years

Brief Summary

Coronavirus Disease 2019 (COVID-19) has been widespread worldwide since December 2019. It is highly contagious, and severe cases can lead to acute respiratory distress or multiple organ failure. On 11...

Detailed Description

Coronavirus Disease 2019 (COVID-19) has been widespread worldwide since December 2019. It is highly contagious, and severe cases can lead to acute respiratory distress or multiple organ failure and ul...

Eligibility Criteria

Inclusion

  • have ECGs, Chest x-ray and/or chest CT imaging (with or without contrast)
  • positive laboratory Covid-19 virus nucleic acid test (RTPCR assay with throat swab samples) or clinical suspicion for Covid-19 infection
  • be aged \>18 years

Exclusion

  • Suboptimal ECGs, chest radiographs or CT studies for deep learning methods due to artefacts including severe
  • motion artefacts which causes blurring of the contours of or significant artefacts due to metallic prosthesis which causes image degradation
  • Time-interval between ECGs, chest CT and the RT-PCR assay was longer than 7 days

Key Trial Info

Start Date :

May 26 2020

Trial Type :

OBSERVATIONAL

Allocation :

ESTIMATED

End Date :

May 1 2022

Estimated Enrollment :

2000 Patients enrolled

Trial Details

Trial ID

NCT04510441

Start Date

May 26 2020

End Date

May 1 2022

Last Update

August 30 2021

Active Locations (4)

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Page 1 of 1 (4 locations)

1

London North West University Healthcare NHS Trust

London, United Kingdom, HA1 3UJ

2

Chelsea and Westminster Hospital NHS Foundation Trust

London, United Kingdom, TW7 6AF

3

Imperial College London (Hammersmith campus)

London, United Kingdom, W12 0NN

4

St Mary's Hospital

London, United Kingdom, W2 1NY