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ABSTRACT: Background
The coronavirus disease 2019 (COVID-19) has induced a worldwide epidemiological event with a high infectivity and mortality. However, the predicting biomarkers and their potential mechanism in the progression of COVID-19 are not well known.Objective
The aim of this study is to identify the candidate predictors of COVID-19 and investigate their underlying mechanism.Methods
The retrospective study was conducted to identify the potential laboratory indicators with prognostic values of COVID-19 disease. Then, the prognostic nomogram was constructed to predict the overall survival of COVID-19 patients. Additionally, the scRNA-seq data of BALF and PBMCs from COVID-19 patients were downloaded to investigate the underlying mechanism of the most important prognost
SUBMITTER: Huang R
PROVIDER: S-EPMC8254455 | biostudies-literature | 2021 Jul
REPOSITORIES: biostudies-literature