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A Clinical Risk Score to Identify Patients with COVID-19 at High Risk of Critical Care Admission or Death: An Observational Cohort Study

27 Pages Posted: 18 May 2020

See all articles by James Galloway

James Galloway

King's College London - Centre for Rheumatic Disease

Sam Norton

King's College London, Centre for Rheumatic Disease

Richard Barker

Department of Respiratory Medicine, King’s College Hospital

Andrew Brookes

King’s College Hospital, Department of Emergency Medicine

Ivana Carey

King’s College Hospital, Institute of Liver Studies

Benjamin Clarke

King's College London, Centre for Rheumatic Disease

Raeesa Jina

King’s College Hospital, Department of Emergency Medicine

Carole Reid

King’s College Hospital, Department of Emergency Medicine

Mark D. Russell

King's College London, Centre for Rheumatic Disease

Ruth Sneep

King’s College Hospital, Department of Emergency Medicine

Leah Sugarman

King’s College Hospital, Department of Emergency Medicine

Sarah Williams

King’s College Hospital, Department of Emergency Medicine

Mark Yates

King's College London - Centre for Rheumatic Disease

James T. Teo

King’s College Hospital, Department of Neurosciences

Ajay M. Shah

King’s College London British Heart Foundation Centre, School of Cardiovascular Medicine & Sciences

Fleur Cantle

King's College Hospital; King’s College Hospital, Department of Emergency Medicine

More...

Abstract

Background: The COVID-19 pandemic continues to escalate. There is urgent need to stratify patients. Understanding risk of deterioration will assist in admission and discharge decisions, and help selection for clinical studies to indicate where risk of therapy-related complications is justified.

Methods: An observational cohort of patients acutely admitted to two London hospitals with COVID-19 and positive SARS-CoV-2 swab results was assessed. Demographic details, clinical data, comorbidities, blood parameters and chest radiograph severity scores were collected from electronic health records. Endpoints assessed were critical care admission and death. A risk score was developed to predict outcomes.

Findings: Analyses included 1,157 patients. Older age, male sex, comorbidities, respiratory rate, oxygenation, radiographic severity, higher neutrophils, higher CRP and lower albumin at presentation predicted critical care admission and mortality. Non-white ethnicity predicted critical care admission but not death. Social deprivation was not predictive of outcome. A risk score was developed incorporating twelve characteristics: age>40, male, non-white ethnicity, oxygen saturations<93%, radiological severity score>3, neutrophil count>8.0 x109/L, CRP>40 mg/L, albumin<34 g/L, creatinine>100 µmol/L, diabetes mellitus, hypertension and chronic lung disease. Risk scores of 4 or higher corresponded to a 28-day cumulative incidence of critical care admission or death of 40.7% (95% CI: 37.1 to 44.4), versus 12.4% (95% CI: 8.2 to 16.7) for scores less than 4.

Interpretation: Our study identified predictors of critical care admission and death in people admitted to hospital with COVID-19. These predictors were incorporated into a risk score that will inform clinical care and stratify patients for clinical trials.

Funding Statement: None

Declaration of Interests: All authors have completed an ICMJE conflict of interest form and report no conflicts of interest.

Ethics Approval Statement: The project operated under London South East Research Ethics Committee (reference 18/LO/2048) approval granted to the King’s Electronic Records Research Interface (KERRI); specific work on COVID-19 research was reviewed with expert patient input on a virtual committee with Caldicott Guardian oversight.

Keywords: COVID-19; SARS-CoV-2; Prediction; Risk Score; Critical Care; Death; Ethnicity; Age

Suggested Citation

Galloway, James and Norton, Sam and Barker, Richard and Brookes, Andrew and Carey, Ivana and Clarke, Benjamin and Jina, Raeesa and Reid, Carole and Russell, Mark D.. and Sneep, Ruth and Sugarman, Leah and Williams, Sarah and Yates, Mark and Teo, James T. and Shah, Ajay M. and Cantle, Fleur, A Clinical Risk Score to Identify Patients with COVID-19 at High Risk of Critical Care Admission or Death: An Observational Cohort Study (4/28/2020). Available at SSRN: https://ssrn.com/abstract=3590486 or http://dx.doi.org/10.2139/ssrn.3590486

James Galloway (Contact Author)

King's College London - Centre for Rheumatic Disease ( email )

London
United Kingdom

Sam Norton

King's College London, Centre for Rheumatic Disease

London
United Kingdom

Richard Barker

Department of Respiratory Medicine, King’s College Hospital

United States

Andrew Brookes

King’s College Hospital, Department of Emergency Medicine

Strand
London, England WC2R 2LS
United Kingdom

Ivana Carey

King’s College Hospital, Institute of Liver Studies

United States

Benjamin Clarke

King's College London, Centre for Rheumatic Disease

London
United Kingdom

Raeesa Jina

King’s College Hospital, Department of Emergency Medicine

Strand
London, England WC2R 2LS
United Kingdom

Carole Reid

King’s College Hospital, Department of Emergency Medicine

United States

Mark D.. Russell

King's College London, Centre for Rheumatic Disease

London
United Kingdom

Ruth Sneep

King’s College Hospital, Department of Emergency Medicine

Strand
London, England WC2R 2LS
United Kingdom

Leah Sugarman

King’s College Hospital, Department of Emergency Medicine

United States

Sarah Williams

King’s College Hospital, Department of Emergency Medicine

Strand
London, England WC2R 2LS
United Kingdom

Mark Yates

King's College London - Centre for Rheumatic Disease

London
United Kingdom

James T. Teo

King’s College Hospital, Department of Neurosciences

London
United Kingdom

Ajay M. Shah

King’s College London British Heart Foundation Centre, School of Cardiovascular Medicine & Sciences

United States

Fleur Cantle

King's College Hospital ( email )

Denmark Hill
London, Brixton SE5 9RS
United Kingdom

King’s College Hospital, Department of Emergency Medicine ( email )

United States

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