Using a 29-mRNA Host Response Classifier To Detect Bacterial Coinfections and Predict Outcomes in COVID-19 Patients Presenting to the Emergency Department

Clinicians in the emergency department (ED) face challenges in concurrently assessing patients with suspected COVID-19 infection, detecting bacterial coinfection, and determining illness severity since current practices require separate workflows. Here, we explore the accuracy of the IMX-BVN-3/IMX-S...

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Detalles Bibliográficos
Autores principales: Ram-Mohan, Nikhil, Rogers, Angela J., Blish, Catherine A., Nadeau, Kari C., Zudock, Elizabeth J., Kim, David, Quinn, James V., Sun, Lixian, Liesenfeld, Oliver, Yang, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9769905/
https://www.ncbi.nlm.nih.gov/pubmed/36250865
http://dx.doi.org/10.1128/spectrum.02305-22

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9769905/
https://www.ncbi.nlm.nih.gov/pubmed/36250865
http://dx.doi.org/10.1128/spectrum.02305-22

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