Predicting sepsis severity at first clinical presentation: The role of endotypes and mechanistic signatures

BACKGROUND: Inter-individual variability during sepsis limits appropriate triage of patients. Identifying, at first clinical presentation, gene expression signatures that predict subsequent severity will allow clinicians to identify the most at-risk groups of patients and enable appropriate antibiot...

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Detalles Bibliográficos
Autores principales: Baghela, Arjun, Pena, Olga M., Lee, Amy H., Baquir, Beverlie, Falsafi, Reza, An, Andy, Farmer, Susan W., Hurlburt, Andrew, Mondragon-Cardona, Alvaro, Rivera, Juan Diego, Baker, Andrew, Trahtemberg, Uriel, Shojaei, Maryam, Jimenez-Canizales, Carlos Eduardo, dos Santos, Claudia C., Tang, Benjamin, Bouma, Hjalmar R., Cohen Freue, Gabriela V., Hancock, Robert E.W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808161/
https://www.ncbi.nlm.nih.gov/pubmed/35027333
http://dx.doi.org/10.1016/j.ebiom.2021.103776

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808161/
https://www.ncbi.nlm.nih.gov/pubmed/35027333
http://dx.doi.org/10.1016/j.ebiom.2021.103776

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