COVID outcome prediction in the emergency department (COPE): using retrospective Dutch hospital data to develop simple and valid models for predicting mortality and need for intensive care unit admission in patients who present at the emergency department with suspected COVID-19.

ABSTRACT:

Objectives

Develop simple and valid models for predicting mortality and need for intensive care unit (ICU) admission in patients who present at the emergency department (ED) with suspected COVID-19.

Design

Retrospective.

Setting

Secondary care in four large Dutch hospitals.

Participants

Patients who presented at the ED and were admitted to hospital with suspected COVID-19. We used 5831 first-wave patients who presented between March and August 2020 for model development and 3252 second-wave patients who presented between September and December 2020 for model validation.

Outcome measures

We developed separate logistic regression models for in-hospital death and for need for ICU admission, both within 28 days after hospital admission. Based on prior litera

SUBMITTER: van Klaveren D 

PROVIDER: S-EPMC8449847 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature