Value of dynamic clinical and biomarker data for mortality risk prediction in COVID-19: a multicentre retrospective cohort study

• James Galea,
• Andrew King,
• Kayode Ogungbenro,
• Omar Pathmanaban,
• Andy Vail,
• Hiren C Patel,
• Carlo Berzuini,
• Cathal Hannan,
• Claire O'Leary,
• David Brough,
• Megan Wright,
• Sharon Hulme,
• Stuart Allan,
• Luisa Bernardinelli

Affiliations

James Galea

Cardiff and Vale University Health Board, Cardiff, UK

Andrew King

Manchester Centre for Clinical Neurosciences, Salford Royal Hospitals NHS Trust, Salford, UK

Kayode Ogungbenro

Department of Pharmacy and Optometry, The University of Manchester, Manchester, UK

Omar Pathmanaban

Manchester Centre for Clinical Neurosciences, Salford Royal Hospitals NHS Trust, Salford, UK

Andy Vail

Centre for Biostatistics, The University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK

Hiren C Patel

Manchester Centre for Clinical Neurosciences, Salford Royal Hospitals NHS Trust, Salford, UK

Carlo Berzuini

Centre for Biostatistics, The University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK

Cathal Hannan

Manchester Centre for Clinical Neurosciences, Salford Royal Hospitals NHS Trust, Salford, UK

Claire O'Leary

Division of Neuroscience and Experimental Psychology, The University of Manchester, Manchester, UK

David Brough

Division of Neuroscience and Experimental Psychology, The University of Manchester, Manchester, UK

Megan Wright

Manchester Centre for Clinical Neurosciences, Salford Royal Hospitals NHS Trust, Salford, UK

Sharon Hulme

Division of Neuroscience and Experimental Psychology, The University of Manchester, Manchester, UK

Stuart Allan

Division of Neuroscience and Experimental Psychology, The University of Manchester, Manchester, UK

Luisa Bernardinelli

Department of Brain and Behavioural Sciences, The University of Pavia, Pavia, Italy