A Transcriptomic Classifier Model Identifies High-Risk Endotypes in a Prospective Study of Sepsis in Uganda

In high-income countries (HICs), sepsis endotypes defined by distinct pathobiological mechanisms, mortality risks, and responses to corticosteroid treatment have been identified using blood transcriptomics. The generalizability of these endotypes to low-income and middle-income countries (LMICs), wh...

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Bibliographic Details

Published in:	Critical care medicine Vol. 52; no. 3; p. 475
Main Authors:	Cummings, Matthew J, Bakamutumaho, Barnabas, Tomoiaga, Alin S, Owor, Nicholas, Jain, Komal, Price, Adam, Kayiwa, John, Namulondo, Joyce, Byaruhanga, Timothy, Muwanga, Moses, Nsereko, Christopher, Nayiga, Irene, Kyebambe, Stephen, Sameroff, Stephen, Che, Xiaoyu, Lutwama, Julius J, Lipkin, W Ian, O'Donnell, Max R
Format:	Journal Article
Language:	English
Published:	United States 01.03.2024
Subjects:	Adrenal Cortex Hormones Adult Gene Expression Profiling Humans Prospective Studies Sepsis Transcriptome Uganda - epidemiology Uganda
ISSN:	1530-0293, 1530-0293
Online Access:	Get more information
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