A comprehensive time-course–based multicohort analysis of sepsis and sterile inflammation reveals a robust diagnostic gene set-Reference-Cited by-同舟云学术

A comprehensive time-course–based multicohort analysis of sepsis and sterile inflammation reveals a robust diagnostic gene set

Published:2015-05-13 Issue:287 Volume:7 Page:
ISSN:1946-6234
Container-title:Science Translational Medicine
language:en
Short-container-title:Sci. Transl. Med.

Author:

Sweeney Timothy E.¹²,Shidham Aaditya²,Wong Hector R.³⁴,Khatri Purvesh²⁵

Affiliation:

1. Department of Surgery, Stanford University School of Medicine, Palo Alto, CA 94305, USA.

2. Stanford Center for Biomedical Informatics Research, Stanford University, Palo Alto, CA 94305, USA.

3. Division of Critical Care Medicine, Cincinnati Children’s Hospital Medical Center and Cincinnati Children’s Research Foundation, 3333 Burnet Avenue, Cincinnati, OH 45223, USA.

4. Department of Pediatrics, University of Cincinnati College of Medicine, 231 Albert Sabin Way, Cincinnati, OH 45267, USA.

5. Stanford Institute for Immunity, Transplantation and Infection, Stanford University School of Medicine, Palo Alto, CA 94305, USA.

Abstract

Five publicly available gene expression cohorts comparing SIRS/trauma to sepsis were split into time-matched subcohorts and summarized via multicohort analysis, which yielded an 11-gene set that was validated for discriminating patients with sepsis or infection in 15 independent cohorts.

Funder

National Institute of Allergy and Infectious Diseases

National Library of Medicine

Stanford Department of Surgery

Stanford Child Health Research Institute Young Investigator Award

Publisher

American Association for the Advancement of Science (AAAS)

Subject

General Medicine

Reference79 articles.

1. Epidemiology of severe sepsis in the United States: Analysis of incidence, outcome, and associated costs of care

2. C. A. Torio R. A. Andrews (Agency for Healthcare Research and Quality Rockville MD 2013).