Arjun Baghela, Olga M Pena, Amy H Lee, Beverlie Baquir, Reza Falsafi, Andy An, Susan W Farmer, Andrew Hurlburt, Alvaro Mondragon-Cardona, Juan Diego Rivera, Andrew Baker, Uriel Trahtemberg, Maryam Shojaei, Carlos Eduardo Jimenez-Canizales, Claudia C Dos Santos, Benjamin Tang, Hjalmar R Bouma, Gabriela V Cohen Freue, Robert E W Hancock
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 antibiotic use. METHODS: Blood RNA-Seq and clinical data were collected from 348 patients in four emergency rooms (ER) and one intensive-care-unit (ICU), and 44 healthy controls...
January 2022: EBioMedicine