Development of a multiomics model for identification of predictive biomarkers for COVID-19 severity: a retrospective cohort study

BACKGROUND: COVID-19 is a multi-system disorder with high variability in clinical outcomes among patients who are admitted to hospital. Although some cytokines such as interleukin (IL)-6 are believed to be associated with severity, there are no early biomarkers that can reliably predict patients who...

Descripción completa

Detalles Bibliográficos
Autores principales: Byeon, Seul Kee, Madugundu, Anil K, Garapati, Kishore, Ramarajan, Madan Gopal, Saraswat, Mayank, Kumar-M, Praveen, Hughes, Travis, Shah, Rameen, Patnaik, Mrinal M, Chia, Nicholas, Ashrafzadeh-Kian, Susan, Yao, Joseph D, Pritt, Bobbi S, Cattaneo, Roberto, Salama, Mohamed E, Zenka, Roman M, Kipp, Benjamin R, Grebe, Stefan K G, Singh, Ravinder J, Sadighi Akha, Amir A, Algeciras-Schimnich, Alicia, Dasari, Surendra, Olson, Janet E, Walsh, Jesse R, Venkatakrishnan, A J, Jenkinson, Garrett, O'Horo, John C, Badley, Andrew D, Pandey, Akhilesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273185/
https://www.ncbi.nlm.nih.gov/pubmed/35835712
http://dx.doi.org/10.1016/S2589-7500(22)00112-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9273185/
https://www.ncbi.nlm.nih.gov/pubmed/35835712
http://dx.doi.org/10.1016/S2589-7500(22)00112-1

Ejemplares similares