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

被引:6
作者
Brooks, Steven C. [1 ,2 ]
Rosychuk, Rhonda J. [3 ]
Perry, Jeffrey J. [4 ]
Morrison, Laurie J. [5 ]
Wiemer, Hana [6 ]
Fok, Patrick [6 ]
Rowe, Brian H. [7 ]
Daoust, Raoul [8 ]
Vatanpour, Shabnam [9 ]
Turner, Joel [10 ]
Landes, Megan [11 ]
Ohle, Robert [12 ]
Hayward, Jake [7 ]
Scheuermeyer, Frank [13 ]
Welsford, Michelle [14 ]
Hohl, Corinne [13 ]
机构
[1] Queens Univ, Dept Emergency Med, Kingston, ON, Canada
[2] Queens Univ, Dept Publ Hlth Sci, Kingston, ON, Canada
[3] Univ Alberta, Dept Pediat, Edmonton, AB, Canada
[4] Univ Ottawa, Dept Emergency Med, Ottawa, ON, Canada
[5] Univ Toronto, Dept Med, Div Emergency Med, Dept Emergency Serv,Sunnybrook Hlth Sci Ctr, Toronto, ON, Canada
[6] Dalhousie Univ, Dept Emergency Med, Halifax, NS, Canada
[7] Univ Alberta, Dept Emergency Med, Edmonton, AB, Canada
[8] Univ Montreal, Dept Med Famille & Med Urgence, Montreal, PQ, Canada
[9] Univ Calgary, Dept Emergency Med, Calgary, AB, Canada
[10] McGill Univ, Dept Emergency Med, Montreal, PQ, Canada
[11] Univ Toronto, Dept Family & Community Med, Div Emergency Med, Toronto, ON, Canada
[12] Northern Ontario Sch Med, Hlth Sci North Res Inst, Dept Emergency Med, Sudbury, ON, Canada
[13] Univ British Columbia, Dept Emergency Med, Vancouver, BC, Canada
[14] McMaster Univ, Dept Med, Div Emergency Med, Hamilton, ON, Canada
基金
加拿大健康研究院;
关键词
clinical decision instrument; clinical prediction score; coronavirus disease; COVID-19; emergency medicine; prediction model; HOSPITALIZATION;
D O I
10.1002/emp2.12868
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
ObjectiveTo risk-stratify COVID-19 patients being considered for discharge from the emergency department (ED). MethodsWe 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. ResultsOf 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). ConclusionThe 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.
引用
收藏
页数:11
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