Rapid front door triage to predict COVID-19 outcome v1.0 [COVID-19]
Research type
Research Study
Full title
A PERSONALISED RISK PREDICTOR FOR COVID-19 OUTCOME (PERISKOPE-COVID-19): DEVELOPMENT AND VALIDATION OF A RAPID FRONT DOOR TRIAGE TOOL
IRAS ID
282900
Contact name
Mahdad Noursadeghi
Contact email
Sponsor organisation
University College London Hospitals
Duration of Study in the UK
1 years, 4 months, 12 days
Research summary
Coronavirus disease 2019 (COVID-19) is a global pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It is estimated that, among hospital admissions with COVID-19, approximately 30% may require critical care. The pandemic therefore has the potential to overwhelm healthcare resources, and exceed critical care bed capacity many times over, even with implementation of population-level interventions to interrupt transmission. Rapid and effective triage at the point of hospital admission is therefore required to ensure that patients at higher risk of deterioration are managed and monitored appropriately. This mechanism becomes increasingly important as hospital resources become more stretched. In this study, we propose to use routinely collected electronic health record data to develop and validation a prognostic model to predict risk of respiratory deterioration leading to requirement of ventilatory support, death or initiation of end of life care. The model will be designed to be implemented at the point of hospital admission in order to rapidly ’triage’ patients. [Study relying on COPI notice]
REC name
East Midlands - Nottingham 2 Research Ethics Committee
REC reference
20/EM/0114
Date of REC Opinion
22 Apr 2020
REC opinion
Favourable Opinion