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

Science Translational Medicine

Volumn 7, Issue 287, 2015, Pages

  Sweeney, Timothy E ^a   Shidham, Aaditya ^a   Wong, Hector R ^b,c   Khatri, Purvesh ^a  

^a STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b CINCINNATI CHILDREN S HOSPITAL RESEARCH FOUNDATION   (United States)

^c UNIVERSITY OF CINCINNATI COLLEGE OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COHORT ANALYSIS; CONTROLLED STUDY; DIAGNOSTIC PROCEDURE; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE CLASSIFICATION; GENE EXPRESSION; GENE IDENTIFICATION; GENETIC VARIABILITY; HOSPITAL ADMISSION; HUMAN; INJURY; INTENSIVE CARE UNIT; PREDICTION; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SEPSIS; SYSTEMIC INFLAMMATORY RESPONSE SYNDROME; TIME; TIME COURSE BASED MULTICOHORT ANALYSIS; VALIDATION PROCESS; COMPLICATION; GENETICS; INFLAMMATION; PRINCIPAL COMPONENT ANALYSIS; VALIDATION STUDY;

COHORT STUDIES; HUMANS; INFLAMMATION; PRINCIPAL COMPONENT ANALYSIS; SEPSIS;

EID: 84929629371     PISSN: 19466234     EISSN: 19466242     Source Type: Journal    
DOI: 10.1126/scitranslmed.aaa5993     Document Type: Article

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