Development and validation of nomogram to predict severe illness requiring intensive care follow up in hospitalized COVID-19 cases.

ABSTRACT:

Background

Early identification of severe COVID-19 patients who will need intensive care unit (ICU) follow-up and providing rapid, aggressive supportive care may reduce mortality and provide optimal use of medical resources. We aimed to develop and validate a nomogram to predict severe COVID-19 cases that would need ICU follow-up based on available and accessible patient values.

Methods

Patients hospitalized with laboratory-confirmed COVID-19 between March 15, 2020, and June 15, 2020, were enrolled in this retrospective study with 35 variables obtained upon admission considered. Univariate and multivariable logistic regression models were constructed to select potential predictive parameters using 1000 bootstrap samples. Afterward, a nomogram was developed with 5 variables s

SUBMITTER: Guner R 

PROVIDER: S-EPMC8467006 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature