Browse
Submit Data
Databases
API
Help

Dataset Information

14 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Outcomes of Critically Ill Pregnant Women with COVID-19 in the United States.

ABSTRACT:

SUBMITTER: Easter SR

PROVIDER: S-EPMC7781146 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Outcomes of critically ill solid organ transplant patients with COVID-19 in the United States.

Project description: Not available

| S-EPMC7460925 | biostudies-literature

Identification of immune correlates of fatal outcomes in critically ill COVID-19 patients

Project description:Single-cell RNA-sequencing reveals a shift from focused IFN alpha-driven signals in COVID-19 ICU patients who survive to broad pro-inflammatory responses in fatal COVID-19 – a feature not observed in severe influenza. We conclude that fatal COVID-19 infection is driven by uncoordinated inflammatory responses that drive a hierarchy of T cell activation, elements of which can serve as prognostic indicators and potential targets for immune intervention.

2021-06-18 | GSE178404 | GEO

Transcriptomic clustering of critically-ill COVID-19 patients

Project description:This SuperSeries is composed of the SubSeries listed below.

2022-02-28 | GSE197259 | GEO

Transcriptomic clustering of critically-ill COVID-19 patients [Day 4 RNAseq]

Project description:Infections caused by SARS-CoV-2 may cause a severe disease, termed COVID-19, with significant mortality. Host responses to this infection, mainly in terms of systemic inflammation, have emerged as key pathogenetic mechanisms, and their modulation is the only therapeutic strategy that has shown a mortality benefit. Herein, we used peripheral blood transcriptomes of critically-ill COVID-19 patients obtained at admission in an Intensive Care Unit, to identify two clusters that, in spite of no major clinical differences, have different gene expression profiles that reveal different underlying pathogenetic mechanisms and ultimately have different ICU outcome. A transcriptomic signature was used to identify these clusters in an external validation cohort, yielding a similar result. These results illustrate the potential of transcriptomic profiles to identify patient endotypes and point to relevant pathogenetic mechanisms in COVID-19.

2023-04-29 | GSE206264 | GEO