Predicting outcome in acute respiratory admissions using patterns of National Early Warning Scores
Sarah Forster, Tricia M McKeever, Matthew Churpek, Sherif Gonem and Dominick Shaw
DOI: https://doi.org/10.7861/clinmed.2022-0074
Clin Med September 2022 Sarah Forster
ANottingham University Hospitals NHS Trust, Nottingham, UK and University of Nottingham School of Medicine, Nottingham, UK
Roles: clinical research fellow in respiratory medicine
Tricia M McKeever
BUniversity of Nottingham, Nottingham, UK
Roles: professor of epidemiology and medical statistics
Matthew Churpek
CUniversity of Wisconsin-Madison School of Medicine and Public Health, Madison, USA
Roles: associate professor in pulmonary and critical care medicine
Sherif Gonem
DNottingham University Hospitals NHS Trust, Nottingham, UK
Roles: consultant in respiratory medicine
Dominick Shaw
ENottingham University Hospitals NHS Trust, Nottingham, UK and University of Nottingham School of Medicine, Nottingham, UK
Roles: professor and honorary consultant in respiratory medicine
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Predicting outcome in acute respiratory admissions using patterns of National Early Warning Scores
Sarah Forster, Tricia M McKeever, Matthew Churpek, Sherif Gonem, Dominick Shaw
Clinical Medicine Sep 2022, 22 (5) 409-415; DOI: 10.7861/clinmed.2022-0074
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