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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Vydané v:	Critical care medicine Ročník 52; číslo 3; s. 475
Hlavní autori:	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
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.03.2024
Predmet:	Adrenal Cortex Hormones Adult Gene Expression Profiling Humans Prospective Studies Sepsis Transcriptome Uganda - epidemiology Uganda
ISSN:	1530-0293, 1530-0293
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