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MeSH Disease

COVID-19 (1)

Death (1)


HGNC Genes

SARS-CoV-2 proteins

There are no SARS-CoV-2 protein terms in the subcorpus


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    COVID Outcome Prediction in the Emergency Department ( COPE HGNC)

    Authors: David van Klaveren; Alexandros Rekkas; Jelmer Alsma; Rob JCG Verdonschot; Dick TJJ Koning; Marlijn JA Kamps; Tom Dormans; Robert Stassen; Sebastiaan Weijer; Klaas-Sierk Arnold; Benjamin Tomlow; David M Kent; Stephanie CE Schuit; Hester Lingsma

    doi:10.1101/2020.12.30.20249023 Date: 2021-01-04 Source: medRxiv

    Background and aimThe COVID-19 pandemic MESHD is putting extraordinary pressure on emergency departments (EDs). To support decision making about hospital admission, we aimed to develop a simple and valid model for predicting mortality and need for admission to an intensive care unit (ICU) in suspected- COVID-19 MESHD patients presenting at the ED. MethodsFor model development, we included patients that presented at the ED and were admitted to 4 large Dutch hospitals with suspected COVID-19 MESHD between March and August 2020, the first wave of the pandemic in the Netherlands. Based on prior literature we included patient characteristics, vital parameters and blood test values, all measured at ED admission, as potential predictors. Logistic regression analyses with post-hoc uniform shrinkage was used to obtain predicted probabilities of in-hospital death and of being admitted to the ICU, both within 28 days after admission. Model performance (AUC; calibration plots, intercepts and slopes) was assessed with temporal validation in patients who presented between September and December 2020 (second wave). We used multiple imputation to account for missing predictor values. ResultsThe development data included 5,831 patients who presented at the ED and were hospitalized, of whom 629 (10.8%) died and 5,070 (86.9%) were discharged within 28 days after admission. A simple model - named COVID Outcome Prediction in the Emergency Department ( COPE HGNC) - with linear age and logarithmic transforms of respiratory rate, CRP HGNC, LDH, albumin and urea captured most of the ability to predict death within 28 days. Patients who were admitted in the first month of the pandemic had substantially increased risk of death (odds ratio 1.99; 95% CI 1.61-2.47). COPE HGNC was well-calibrated and showed good discrimination for predicting death MESHD in 3,252 patients of the second wave (AUC in 4 hospitals: 0.82; 0.82; 0.79; 0.83). COPE HGNC was also able to identify patients at high risk of needing IC in second wave patients below the age of 70 (AUC 0.84; 0.81), but overestimated ICU admission for low-risk patients. The models are implemented as a web-based application. ConclusionCOPE is a simple tool that is well able to predict mortality and ICU admission for patients who present to the ED with suspected COVID-19 MESHD and may help to inform patients and doctors when deciding on hospital admission.

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MeSH Disease
HGNC Genes
SARS-CoV-2 Proteins


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