RACE-ECG

• Research type

  Research Study

• Full title

  Rapid Throughput Screening for Human COVID-19 Infection: ECG study (RACE)

• IRAS ID

  285412

• Contact name

  Nicholas Peters

• Contact email

  n.peters@imperial.ac.uk

• Sponsor organisation

  Imperial College Healthcare NHS Trust

• Clinicaltrials.gov Identifier

  NCT04725097

• Duration of Study in the UK

  3 years, 0 months, 1 days

• Research summary

  AIMS
  To validate detection of COVID-19 infection using a 6-lead ECG recording from the AliveCor Kardia device, interpreted by an artificial intelligence algorithm (POC-AI-ECG), compared to the gold-standard investigation for detecting COVID-19 by polymerase chain reaction test via a nose and throat swab (PCR)

  METHODS
  Head-to-head comparison of POC-AI-ECG against the gold standard investigation, polymerase chain reaction (PCR) for detecting COVID-19 infection, in an unselected hospital inpatient population undergoing routine screening by PCR.

  OUTCOME MEASURES
  Primary: Sensitivity, specificity and diagnostic accuracy of POC-AI-ECG as compared to PCR for COVID-19

• REC name

  London - Dulwich Research Ethics Committee

• REC reference

  21/LO/0207

• Date of REC Opinion

  27 Apr 2021

• REC opinion

  Further Information Favourable Opinion