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

King's College Hospital NHS Trust

Status: Unknown

Conditions: Covid19; Pneumonia

Study type: Observational

Funder types: Other

Identifiers

NCT04855539

IRAS 232823

Details and patient eligibility

About

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.

Full 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

Enrollment: 300 estimated patients

Sex: All

Ages: 18+ years old

Volunteers: No Healthy Volunteers

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

Trial design

300 participants in 2 patient groups

wave 1

wave 2