COPE
COPE predicts in-hospital mortality and 28-day ICU admission risk for emergency department patients with suspected COVID-19 using routinely collected clinical variables.
Key Features:
- Dataset: Retrospective analysis of 5,831 patients admitted to four Dutch hospitals between March and August 2020.
- Predictor selection: Predictors were selected based on prior literature and comprise readily obtainable patient characteristics, vital parameters, and blood tests.
- Predictors: Includes age, respiratory rate, C-reactive protein (CRP), lactic dehydrogenase (LDH), albumin, and urea as model inputs.
- Model type: Logistic regression models were used to generate predicted probabilities for outcomes.
- Shrinkage: Post-hoc uniform shrinkage was applied to model coefficients.
- Outcomes predicted: In-hospital death and ICU admission within 28 days of hospital admission.
- Validation: Temporal validation was performed on a separate cohort from September to December 2020 (second wave).
- Performance evaluation: Model performance was evaluated using Area Under the Receiver Operating Characteristic curve (AUC) and calibration plots, with mortality AUCs of 0.79–0.83 across hospitals and ICU admission AUCs of 0.81–0.84 in a subset with complete data.
Scientific Applications:
- ED risk stratification: Identifies high-risk patients who may require immediate ICU care among those presenting with suspected COVID-19.
- Triage support: Distinguishes intermediate-risk patients appropriate for ward admission and low-risk patients who may be considered for discharge.
- Modeling contribution: Provides a validated predictive model that emphasizes objective, quickly obtainable parameters to reduce bias associated with prior predictive models.
Methodology:
Retrospective analysis of 5,831 patients from four Dutch hospitals (March–August 2020); predictors selected from prior literature; logistic regression with post-hoc uniform shrinkage produced probability estimates for in-hospital death and ICU admission within 28 days; performance assessed by AUC and calibration plots with temporal validation on a cohort from September–December 2020.
Topics
Collections
Details
- Tool Type:
- web application
- Added:
- 3/19/2021
- Last Updated:
- 4/26/2021
Operations
Publications
van Klaveren D, Rekkas A, Alsma J, Verdonschot RJ, Koning DT, Kamps MJ, Dormans T, Stassen R, Weijer S, Arnold K, Tomlow B, de Geus HR, van Bruchem-Visser RL, Miedema JR, Verbon A, van Nood E, Kent DM, Schuit SC, Lingsma H. COVID Outcome Prediction in the Emergency Department (COPE): Development and validation of a model for predicting death and need for intensive care in COVID-19 patients. Unknown Journal. 2021. doi:10.1101/2020.12.30.20249023.