The diagnostic value of nasal microbiota and clinical parameters in a multi-parametric prediction model to differentiate bacterial versus viral infections in lower respiratory tract infections

BACKGROUND: The ability to accurately distinguish bacterial from viral infection would help clinicians better target antimicrobial therapy during suspected lower respiratory tract infections (LRTI). Although technological developments make it feasible to rapidly generate patient-specific microbiota...

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Detalles Bibliográficos
Autores principales: Li, Yunlei, van Houten, Chantal B., Boers, Stefan A., Jansen, Ruud, Cohen, Asi, Engelhard, Dan, Kraaij, Robert, Hiltemann, Saskia D., Ju, Jie, Fernández, David, Mankoc, Cristian, González, Eva, de Waal, Wouter J., de Winter-de Groot, Karin M., Wolfs, Tom F. W., Meijers, Pieter, Luijk, Bart, Oosterheert, Jan Jelrik, Sankatsing, Sanjay U. C., Bossink, Aik W. J., Stein, Michal, Klein, Adi, Ashkar, Jalal, Bamberger, Ellen, Srugo, Isaac, Odeh, Majed, Dotan, Yaniv, Boico, Olga, Etshtein, Liat, Paz, Meital, Navon, Roy, Friedman, Tom, Simon, Einav, Gottlieb, Tanya M., Pri-Or, Ester, Kronenfeld, Gali, Oved, Kfir, Eden, Eran, Stubbs, Andrew P., Bont, Louis J., Hays, John P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9015155/
https://www.ncbi.nlm.nih.gov/pubmed/35436301
http://dx.doi.org/10.1371/journal.pone.0267140

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