A Transcriptomic Severity Metric That Predicts Clinical Outcomes in Critically Ill Surgical Sepsis Patients

OBJECTIVES:. Clinically deployable methods for the rapid and accurate prediction of sepsis severity that could elicit a meaningful change in clinical practice are currently lacking. We evaluated a whole-blood, multiplex host-messenger RNA expression metric, Inflammatix-Severity-2, for identifying se...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Scott C. Brakenridge, MD, Petr Starostik, MD, Gabriella Ghita, PhD, Uros Midic, PhD, Dijoia Darden, MD, Brittany Fenner, MD, James Wacker, MS, Philip A. Efron, MD, Oliver Liesenfeld, MD, Timothy E. Sweeney, MD, PhD, Lyle L. Moldawer, PhD
Formato:	article
Lenguaje:	EN
Publicado:	Wolters Kluwer 2021
Materias:	Medical emergencies. Critical care. Intensive care. First aid RC86-88.9
Acceso en línea:	https://doaj.org/article/3754813dc9074e36a8aea4f72f4dd31d
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Sea el primero en dejar un comentario!

A Transcriptomic Severity Metric That Predicts Clinical Outcomes in Critically Ill Surgical Sepsis Patients

Ejemplares similares