Prediction Model Based on the Combination of Cytokines and Lymphocyte Subsets for Prognosis of SARS-CoV-2 Infection.

ABSTRACT:

Background

There are currently rare satisfactory markers for predicting the death of patients with coronavirus disease 2019 (COVID-19). The aim of this study is to establish a model based on the combination of serum cytokines and lymphocyte subsets for predicting the prognosis of the disease.

Methods

A total of 739 participants with COVID-19 were enrolled at Tongji Hospital from February to April 2020 and classified into fatal (n = 51) and survived (n = 688) groups according to the patient's outcome. Cytokine profile and lymphocyte subset analysis was performed simultaneously.

Results

The fatal patients exhibited a significant lower number of lymphocytes including B cells, CD4⁺ T cells, CD8⁺ T cells, and NK cells and remarkably higher concentrati

SUBMITTER: Luo Y 

PROVIDER: S-EPMC7357264 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature