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Early inflammatory profiles predict maximal disease severity in COVID-19: An unsupervised cluster analysis.

Kenny, Grace
; 
Saini, Gurvin
; 
Gaillard, Colette Marie
; 
Negi, Riya
; 
Alalwan, Dana
; 
Garcia Leon, Alejandro
; 
McCann, Kathleen
; 
Tinago, Willard
; 
Kelly, Christine
; 
Cotter, Aoife G
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Author
Kenny, Grace
 Saini, Gurvin
 Gaillard, Colette Marie
 Negi, Riya
 Alalwan, Dana
 Garcia Leon, Alejandro
 McCann, Kathleen
 Tinago, Willard
 Kelly, Christine
 Cotter, Aoife G
 de Barra, Eoghan
 Horgan, Mary
 Yousif, Obada
 Gautier, Virginie
 Landay, Alan
 McAuley, Danny
 Feeney, Eoin R
 O'Kane, Cecilia
 Mallon, Patrick WG
Advisors
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Date
2024-07-23
Date Submitted
Keywords
biomarkers
Immune phenotypes
Principal component analysis
Severe acute coronavirus 2
Other Subjects
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Planned Date
Start Date
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Files
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PMC11320140.pdf
Adobe PDF, 3.59 MB
Alternative Titles
Publisher
Elsevier
URI
https://hdl.handle.net/10147/645689
Abstract
Language
en
Citation
Kenny, G., Saini, G., Gaillard, C. M., Negi, R., Alalwan, D., Garcia Leon, A., McCann, K., Tinago, W., Kelly, C., Cotter, A. G., de Barra, E., Horgan, M., Yousif, O., Gautier, V., Landay, A., McAuley, D., Feeney, E. R., O'Kane, C., & Mallon, P. W. (2024). Early inflammatory profiles predict maximal disease severity in COVID-19: An unsupervised cluster analysis. Heliyon, 10(15), e34694. https://doi.org/10.1016/j.heliyon.2024.e34694
ISSN
2405-8440
eISSN
ISBN
PMC11320140
DOI
10.1016/j.heliyon.2024.e34694
PMID
39144942
PMCID
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