Unknown

Dataset Information

Development and validation of a prognostic model based on immune variables to early predict severe cases of SARS-CoV-2 Omicron variant infection.


ABSTRACT:

Background

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant has prevailed globally since November 2021. The extremely high transmissibility and occult manifestations were notable, but the severity and mortality associated with the Omicron variant and subvariants cannot be ignored, especially for immunocompromised populations. However, no prognostic model for specially predicting the severity of the Omicron variant infection is available yet. In this study, we aim to develop and validate a prognostic model based on immune variables to early recognize potentially severe cases of Omicron variant-infected patients.

Methods

This was a single-center prognostic study involving patients with SARS-CoV-2 Omicron variant infection. Eligible patients were

SUBMITTER: Lu T 

PROVIDER: S-EPMC10014461 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature