COVID VOICE: Coronavirus: Ventilator Outcomes Using Artificial Intelligence Chest Radiographs & Other Evidence-based Co-variates

Sponsor
King's College Hospital NHS Trust (Other)
Overall Status
Recruiting
CT.gov ID
NCT04855539
Collaborator
King's College London (Other)
300
3
21
100
4.8

Study Details

Study Description

Brief Summary

We will determine ventilator outcomes to Coronavirus Infectious Disease 2019 (COVID-19) using artificial Intelligence with inputs of chest radiographs and other evidence-based co-variates.

Condition or Disease Intervention/Treatment Phase

    Detailed Description

    The chest radiograph (chest x-ray) has emerged as the United Kingdom's National Health Service (NHS) frontline diagnostic imaging test for COVID-19, in conjunction with clinical history and key blood markers: C-reactive protein (CRP) and lymphopenia. Typically, every suspected COVID-19 patient presenting to the emergency department is undergoing blood tests and a chest radiograph. Therefore, it has become critical for radiologists to review and "hot" report the chest x-ray urgently.

    Primary Objective: Use chest radiographs and clinical data to determine whether patient can survive with a ventilator

    Study Design

    Study Type:
    Observational
    Anticipated Enrollment :
    300 participants
    Observational Model:
    Cohort
    Time Perspective:
    Prospective
    Official Title:
    Coronavirus Infectious Disease 2019: Ventilator Outcomes Using Artificial Intelligence, Chest Radiographs and Other Evidence-based Co-variates (COVID VOICE)
    Actual Study Start Date :
    Mar 1, 2020
    Actual Primary Completion Date :
    May 1, 2021
    Anticipated Study Completion Date :
    Dec 1, 2021

    Arms and Interventions

    Arm Intervention/Treatment
    wave 1

    wave 2

    Outcome Measures

    Primary Outcome Measures

    1. Sensitivity and specificity of a convolutional neural network to predict survival outcome [1 month]

      Defined by sensitivity, specificity, positive and negative predictive values

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    18 Years and Older
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    No
    Inclusion Criteria:

    Admitted to intensive care unit (ITU) or equivalent COVID-19 polymerase chain reaction (PCR) positive

    Exclusion Criteria:

    No imaging prior to ITU admission

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 Princess Royal University Hospital Orpington Kent United Kingdom
    2 Guy's and St Thomas' Hospital London United Kingdom
    3 King's College Hospital London United Kingdom

    Sponsors and Collaborators

    • King's College Hospital NHS Trust
    • King's College London

    Investigators

    None specified.

    Study Documents (Full-Text)

    None provided.

    More Information

    Publications

    None provided.
    Responsible Party:
    King's College Hospital NHS Trust
    ClinicalTrials.gov Identifier:
    NCT04855539
    Other Study ID Numbers:
    • IRAS 232823
    First Posted:
    Apr 22, 2021
    Last Update Posted:
    Sep 16, 2021
    Last Verified:
    Sep 1, 2021
    Studies a U.S. FDA-regulated Drug Product:
    No
    Studies a U.S. FDA-regulated Device Product:
    No
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Sep 16, 2021