학술논문
Using a 29-mRNA Host Response Classifier to Detect Bacterial Coinfections and Predict Outcomes in COVID-19 Patients Presenting to the Emergency Department
Document Type
Article
Author
Ram-Mohan, N.; Zudock, E.J.; Kim, D.; Quinn, J.V.; Yang, S.; Rogers, A.J.; Nadeau, K.C.; Blish, C.A.; Sun, L.; Liesenfeld, O.; Hashemi, M.M.; Tjandra, K.C.; Newberry, J.A.; Blomkalns, A.L.; O'Hara, R.; Ashley, E.; Mann, R.; Visweswaran, A.; Ranganath, T.; Roque, J.; Manohar, M.; Din, H.N.; Kumar, K.; Jee, K.; Noon, B.; Anderson, J.; Fay, B.; Schreiber, D.; Zhao, N.; Vergara, R.; McKechnie, J.; Wilk, A.; de la Parte, L.; Dantzler, K.W.; Ty, M.; Kathale, N.; Rustagi, A.; Martinez-Colon, G.; Ivison, G.; Pi, R.; Lee, M.; Brewer, R.; Hollis, T.; Baird, A.; Ugur, M.; Bogusch, D.; Nahass, G.; Haider, K.; Tran, K.Q.T.; Simpson, L.; Tal, M.; Chang, I.; Do, E.; Fernandes, A.; Lee, A.; Ahuja, N.; Snow, T.; Krempski, J.
Source
In: Microbiology Spectrum . (Microbiology Spectrum, November 2022, 10(6))
Subject
Language
English
ISSN
21650497