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

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

ABSTRACT 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-BV...

Ausführliche Beschreibung

Bibliographische Detailangaben
Hauptverfasser: Nikhil Ram-Mohan, Angela J. Rogers, Catherine A. Blish, Kari C. Nadeau, Elizabeth J. Zudock, David Kim, James V. Quinn, Lixian Sun, Oliver Liesenfeld, Samuel Yang
Format: Artikel
Sprache:English
Veröffentlicht: American Society for Microbiology 2022-12-01
Schriftenreihe:Microbiology Spectrum
Schlagworte:
diagnosis
COVID-19
bacterial superinfection
coinfection
prognosis
mortality prediction
Online Zugang:https://journals.asm.org/doi/10.1128/spectrum.02305-22

Online

https://journals.asm.org/doi/10.1128/spectrum.02305-22

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