A practical scoring model to predict the occurrence of critical illness in hospitalized patients with SARS-CoV-2 omicron infection.

ABSTRACT:

Background

The variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have emerged repeatedly, especially the Omicron strain which is extremely infectious, so early identification of patients who may develop critical illness will aid in delivering proper treatment and optimizing use of resources. We aimed to develop and validate a practical scoring model at hospital admission for predicting which patients with Omicron infection will develop critical illness.

Methods

A total of 2,459 patients with Omicron infection were enrolled in this retrospective study. Univariate and multivariate logistic regression analysis were performed to evaluate predictors associated with critical illness. Moreover, the area under the receiver operating characteristic curve (AUROC

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC9806124 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature