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Dataset Information

Longitudinal multi-omics transition associated with fatality in critically ill COVID-19 patients.


ABSTRACT:

Purpose

Critically ill COVID-19 patients have significantly increased risk of death. Although several circulating biomarkers are thought to be related to COVID-19 severity, few studies have focused on the characteristics of critically ill patients with different outcomes. The objective of this study was to perform a longitudinal investigation of the potential mechanisms affecting the prognosis of critically ill COVID-19 patients.

Methods

In addition to clinical data, 113 whole blood samples and 85 serum samples were collected from 33 severe and critical COVID-19 patients without selected comorbidities. Multi-omics analysis was then performed using longitudinal samples.

Results

Obvious transcriptional transitions were more frequent in critical survivors than in critica

SUBMITTER: Sun C 

PROVIDER: S-EPMC7957447 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature