COVID-19 prognostic study on ICU
Research type
Research Study
Full title
An AI-driven decision support system for phenotyping clinically-distinct COVID-19 patients on the ICU for risk stratification and optimised treatment.
IRAS ID
283510
Contact name
Ascanio Tridente
Contact email
Sponsor organisation
Whiston Hospital
Duration of Study in the UK
2 years, 0 months, 1 days
Research summary
COVID-19 (SARS-CoV-2) is a highly contagious new strain of coronavirus that, as of 5th August 2020, has infected over 18.8 million people, resulting in over 700,000 deaths worldwide. Cases vary in severity from an asymptomatic or mild illness to those with severe pneumonia, requiring intensive care and ultimately resulting in death.
Much remains to be learned about the factors that determine the severity of the virus, how the virus will present in a given patient, and ultimately whether any of these factors can be used to help clinical decision making.
Already, there is a wealth of clinical and laboratory data accumulating from COVID-19 patients that may help explain and ultimately predict differences in patient outcome. By focusing on the these data available on COVID-19 patients admitted to ICU at Whiston hospital, the project will develop a computer-aided, decision support system which can aid clinicians in their clinical decision making by identifying those patients with poor prognosis and those with specific treatment/management needs. This will allow future patients to be more effectively triaged, treated and managed, thereby leading to improved survival rates from this deadly disease.
REC name
North West - Haydock Research Ethics Committee
REC reference
20/NW/0432
Date of REC Opinion
3 Nov 2020
REC opinion
Favourable Opinion