Development of severity and mortality prediction models for covid-19 patients at emergency department including the chest x-ray.

ABSTRACT:

Objectives

To develop prognosis prediction models for COVID-19 patients attending an emergency department (ED) based on initial chest X-ray (CXR), demographics, clinical and laboratory parameters.

Methods

All symptomatic confirmed COVID-19 patients admitted to our hospital ED between February 24th and April 24th 2020 were recruited. CXR features, clinical and laboratory variables and CXR abnormality indices extracted by a convolutional neural network (CNN) diagnostic tool were considered potential predictors on this first visit. The most serious individual outcome defined the three severity level: 0) home discharge or hospitalization ≤ 3 days, 1) hospital stay >3 days and 2) intensive care requirement or death. Severity and in-hospital mortality multivariable prediction mode

SUBMITTER: Calvillo-Batlles P 

PROVIDER: S-EPMC8776406 | biostudies-literature | 2022 May-Jun

REPOSITORIES: biostudies-literature