Derivation and validation of a clinical decision rule to risk-stratify COVID-19 patients discharged from the emergency department: The CCEDRRN COVID discharge score.

COVID‐19 clinical decision instrument clinical prediction score coronavirus disease emergency medicine prediction model

Journal

Journal of the American College of Emergency Physicians open
ISSN: 2688-1152
Titre abrégé: J Am Coll Emerg Physicians Open
Pays: United States
ID NLM: 101764779

Informations de publication

Date de publication:
Dec 2022
Historique:
received: 15 06 2022
revised: 10 11 2022
accepted: 17 11 2022
entrez: 29 12 2022
pubmed: 30 12 2022
medline: 30 12 2022
Statut: epublish

Résumé

To risk-stratify COVID-19 patients being considered for discharge from the emergency department (ED). We conducted an observational study to derive and validate a clinical decision rule to identify COVID-19 patients at risk for hospital admission or death within 72 hours of ED discharge. We used data from 49 sites in the Canadian COVID-19 Emergency Department Rapid Response Network (CCEDRRN) between March 1, 2020, and September 8, 2021. We randomly assigned hospitals to derivation or validation and prespecified clinical variables as candidate predictors. We used logistic regression to develop the score in a derivation cohort and examined its performance in predicting short-term adverse outcomes in a validation cohort. Of 15,305 eligible patient visits, 535 (3.6%) experienced the outcome. The score included age, sex, pregnancy status, temperature, arrival mode, respiratory rate, and respiratory distress. The area under the curve was 0.70 (95% confidence interval [CI] 0.68-0.73) in derivation and 0.71 (95% CI 0.68-0.73) in combined derivation and validation cohorts. Among those with a score of 3 or less, the risk for the primary outcome was 1.9% or less, and the sensitivity of using 3 as a rule-out score was 89.3% (95% CI 82.7-94.0). Among those with a score of ≥9, the risk for the primary outcome was as high as 12.2% and the specificity of using 9 as a rule-in score was 95.6% (95% CI 94.9-96.2). The CCEDRRN COVID discharge score can identify patients at risk of short-term adverse outcomes after ED discharge with variables that are readily available on patient arrival.

Identifiants

pubmed: 36579029
doi: 10.1002/emp2.12868
pii: EMP212868
pmc: PMC9780419
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e12868

Informations de copyright

© 2022 The Authors. JACEP Open published by Wiley Periodicals LLC on behalf of American College of Emergency Physicians.

Déclaration de conflit d'intérêts

The authors have declared no conflict of interest.

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Auteurs

Steven C Brooks (SC)

Departments of Emergency Medicine and Public Health Sciences Queen's University Kingston Ontario Canada.

Rhonda J Rosychuk (RJ)

Department of Pediatrics University of Alberta Edmonton Alberta Canada.

Jeffrey J Perry (JJ)

Department of Emergency Medicine University of Ottawa Ottawa Ontario Canada.

Laurie J Morrison (LJ)

Department of Emergency Services, Sunnybrook Health Sciences Centre, Department of Medicine, Division of Emergency Medicine University of Toronto Toronto Ontario Canada.

Hana Wiemer (H)

Department of Emergency Medicine Dalhousie University Halifax Nova Scotia Canada.

Patrick Fok (P)

Department of Emergency Medicine Dalhousie University Halifax Nova Scotia Canada.

Brian H Rowe (BH)

Department of Emergency Medicine University of Alberta Edmonton Alberta Canada.

Raoul Daoust (R)

Departement de Médecine de Famille et Médecine d'urgence Université de Montréal Montréal Québec Canada.

Shabnam Vatanpour (S)

Department of Emergency Medicine University of Calgary Calgary Alberta Canada.

Joel Turner (J)

Department of Emergency Medicine McGill University Montréal Québec Canada.

Megan Landes (M)

Department of Family and Community Medicine Division of Emergency Medicine University of Toronto Toronto Ontario Canada.

Robert Ohle (R)

Department of Emergency Medicine, Health Science North Research Institute Northern Ontario School of Medicine Sudbury Ontario Canada.

Jake Hayward (J)

Department of Emergency Medicine University of Alberta Edmonton Alberta Canada.

Frank Scheuermeyer (F)

Department of Emergency Medicine University of British Columbia Vancouver British Columbia Canada.

Michelle Welsford (M)

Department of Medicine, Division of Emergency Medicine McMaster University Hamilton Ontario Canada.

Corinne Hohl (C)

Department of Emergency Medicine University of British Columbia Vancouver British Columbia Canada.

Classifications MeSH