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

Cummings, M. J., Bakamutumaho, B., Tomoiaga, A. S., Owor, N., Jain, K., Price, A., Kayiwa, J., Namulondo, J., Byaruhanga, T., Muwanga, M., Nsereko, C., Nayiga, I., Kyebambe, S., Sameroff, S., Che, X., Lutwama, J. J., Lipkin, W. I., & O’Donnell, M. R. (2023). A Transcriptomic Classifier Model Identifies High-Risk Endotypes in a Prospective Study of Sepsis in Uganda*. Critical Care Medicine, 52(3), 475–482. https://doi.org/10.1097/ccm.0000000000006023
Authors:
Matthew J Cummings
Barnabas Bakamutumaho
Alin S Tomoiaga
Nicholas Owor
Komal Jain
Adam Price
John Kayiwa
Joyce Namulondo
Timothy Byaruhanga
Moses Muwanga
Christopher Nsereko
Irene Nayiga
Stephen Kyebambe
Stephen Sameroff
Xiaoyu Che
Julius J Lutwama
W Ian Lipkin
Max R O'Donnell
Affiliated Authors:
Matthew J Cummings
Alin S Tomoiaga
Komal Jain
Adam Price
Stephen Sameroff
Xiaoyu Che
W Ian Lipkin
Max R O'Donnell
Subjects:
Transcriptome (MeSH)
Sepsis (MeSH)
Author Keywords:
africa
biomarkers
high-throughput nucleotide sequencing
immunology
sepsis
uganda
Publication Type:
Article
Unique ID:
10.1097/ccm.0000000000006023
PMID:
Publication Date:
Data Source:
PubMed

Record Created: