CCEDRRN COVID-19 Infection Score (CCIS): development and validation in a Canadian cohort of a clinical risk score to predict SARS-CoV-2 infection in patients presenting to the emergency department with suspected COVID-19
John Taylor,
Patrick Archambault,
Eddy Lang,
Megan Landes,
Steven Brooks,
Laurie Morrison,
Jake Hayward,
Corinne M Hohl,
Katie Lin,
Andrew McRae,
Steven C Brooks,
Raoul Daoust,
Éric Mercier,
Patrick M Archambault,
Ivy Cheng,
Daniel Ting,
Tomislav Jelic,
Andrew D McRae,
Robert Ohle,
Shabnam Vatanpour,
Philip Davis,
Justin Yan,
Laurie J Morrison,
Ian Martin,
Jeffrey Perry,
Krishan Yadav,
Rhonda Rosychuk,
Gelareh Ghaderi,
Brian Rowe,
Michelle Welsford,
Patrick Fok,
Hana Wiemer,
Samuel Campbell,
Kory Arsenault,
Tara Dahn,
Kavish Chandra,
Joel Turner,
Greg Clark,
Sébastien Robert,
Rob Ohle,
Rohit Mohindra,
Ankit Kapur,
Phil Davis,
Stephanie VandenBerg,
Jaspreet Khangura,
Corinne Hohl,
Maja Stachura,
Frank Scheuermeyer,
Balijeet Braar,
Craig Murray,
Sean Wormsbecker,
Matt Bouchard,
Lee Graham
Affiliations
John Taylor
Patrick Archambault
5 Département de médecine de famille et de médecine d`urgence, Université Laval, Québec, Québec, Canada
Eddy Lang
Emergency Medicine, University of Calgary, Calgary, Alberta, Canada
Megan Landes
Steven Brooks
Laurie Morrison
Jake Hayward
Department of Emergency Medicine, University of Alberta Faculty of Medicine & Dentistry, Edmonton, Alberta, Canada
Corinne M Hohl
1 Department of Emergency Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
Katie Lin
Andrew McRae
Steven C Brooks
7 Departments of Emergency Medicine and Public Health Sciences, Queen`s University, Kingston, Ontario, Canada
Raoul Daoust
Éric Mercier
Patrick M Archambault
5 Department of Family Medicine and Emergency Medicine, Université Laval, Québec City, Québec, Canada
Ivy Cheng
Department of Emergency Medicine, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
Daniel Ting
Department of Ophthalmology, Singapore Eye Research Institute, Singapore
Tomislav Jelic
Andrew D McRae
11 Department of Emergency Medicine, and Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada
Robert Ohle
Department of Emergency Medicine, Northern Ontario School of Medicine, Thunder Bay, Ontario, Canada
Shabnam Vatanpour
University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
Philip Davis
Department of Emergency Medicine, University of Saskatchewan College of Medicine, Saskatoon, Saskatchewan, Canada
Justin Yan
3 Division of Emergency Medicine, Department of Medicine, Western University, London, Ontario, Canada
Laurie J Morrison
8 Department of Emergency Services, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
Ian Martin
Jeffrey Perry
10 Department of Emergency Medicine, University of Ottawa, Ottawa, Ontario, Canada
Krishan Yadav
5 Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
Rhonda Rosychuk
12 Department of Pediatrics, University of Alberta, Edmonton, Alberta, Canada
Gelareh Ghaderi
Department of Emergency Medicine, The University of British Columbia Faculty of Medicine, Vancouver, British Columbia, Canada
Brian Rowe
Department of Emergency Medicine, University of Alberta Faculty of Medicine & Dentistry, Edmonton, Alberta, Canada
Michelle Welsford
Department of Emergency Medicine, McMaster University Faculty of Health Sciences, Hamilton, Ontario, Canada
Objectives To develop and validate a clinical risk score that can accurately quantify the probability of SARS-CoV-2 infection in patients presenting to an emergency department without the need for laboratory testing.Design Cohort study of participants in the Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN) registry. Regression models were fitted to predict a positive SARS-CoV-2 test result using clinical and demographic predictors, as well as an indicator of local SARS-CoV-2 incidence.Setting 32 emergency departments in eight Canadian provinces.Participants 27 665 consecutively enrolled patients who were tested for SARS-CoV-2 in participating emergency departments between 1 March and 30 October 2020.Main outcome measures Positive SARS-CoV-2 nucleic acid test result within 14 days of an index emergency department encounter for suspected COVID-19 disease.Results We derived a 10-item CCEDRRN COVID-19 Infection Score using data from 21 743 patients. This score included variables from history and physical examination and an indicator of local disease incidence. The score had a c-statistic of 0.838 with excellent calibration. We externally validated the rule in 5295 patients. The score maintained excellent discrimination and calibration and had superior performance compared with another previously published risk score. Score cut-offs were identified that can rule-in or rule-out SARS-CoV-2 infection without the need for nucleic acid testing with 97.4% sensitivity (95% CI 96.4 to 98.3) and 95.9% specificity (95% CI 95.5 to 96.0).Conclusions The CCEDRRN COVID-19 Infection Score uses clinical characteristics and publicly available indicators of disease incidence to quantify a patient’s probability of SARS-CoV-2 infection. The score can identify patients at sufficiently high risk of SARS-CoV-2 infection to warrant isolation and empirical therapy prior to test confirmation while also identifying patients at sufficiently low risk of infection that they may not need testing.Trial registration number NCT04702945.