arrow
Return

Sepsis Subclasses: A Framework for Development and Interpretation*

delete2021-02-15
delete91
delete
OA
AI
K
Kimberley M. DeMerle *
D
Derek C. Angus
J
J. Kenneth Baillie
E
Emily Brant
C
Carolyn S. Calfee
J
Joseph A. Carcillo
C
Chung‐Chou H. Chang
R
Robert P. Dickson
I
Idris Evans
A
Anthony Gordon
J
Jason Kennedy
J
Julian C. Knight
C
Christopher J. Lindsell
V
Vincent Liu
J
John C. Marshall
A
Adrienne G. Randolph
B
Brendon P. Scicluna
M
Manu Shankar‐Hari
N
Nathan I. Shapiro
T
Timothy E. Sweeney
V
Victor B. Talisa
B
Benjamin Tang
B
Bruce Thompson
E
Ephraim L. Tsalik
T
Tom van der Poll
L
Lonneke A. van Vught
H
Hector R. Wong
S
Sachin Yende
H
Huiying Zhao
C
Christopher W. Seymour
DOI:10.1097/CCM.0000000000004842delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
Sepsis is defined as a dysregulated host response to infection that leads to life-threatening acute organ dysfunction. It afflicts approximately 50 million people worldwide annually and is often deadly, even when evidence-based guidelines are applied promptly. Many randomized trials tested therapies for sepsis over the past 2 decades, but most have not proven beneficial. This may be because sepsis is a heterogeneous syndrome, characterized by a vast set of clinical and biologic features. Combinations of these features, however, may identify previously unrecognized groups, or subclasses with different risks of outcome and response to a given treatment. As efforts to identify sepsis subclasses become more common, many unanswered questions and challenges arise. These include: 1) the semantic underpinning of sepsis subclasses, 2) the conceptual goal of subclasses, 3) considerations about study design, data sources, and statistical methods, 4) the role of emerging data types, and 5) how to determine whether subclasses represent truth. We discuss these challenges and present a framework for the broader study of sepsis subclasses. This framework is intended to aid in the understanding and interpretation of sepsis subclasses, provide a mechanism for explaining subclasses generated by different methodologic approaches, and guide clinicians in how to consider subclasses in bedside care.
Keywords:
heterogeneity
phenotype
sepsis
subclass

Journal

Critical Care Medicine cover
Critical Care Medicine
IF:
6
Papers:
3.0W
Citations:
3.8W

Organization

U
university of amsterdam
Scholars:
6.0W
Papers: 5.1W
Citations: 94
K
Kaiser Permanente
Scholars:
1.2W
Papers: 9.7K
Citations: 8.5K
R
Royal Infirmary of Edinburgh
Scholars:
3.9K
Papers: 3.0K
Citations: 3
V
vanderbilt university
Scholars:
5.1W
Papers: 4.1W
Citations: 59
U
University of Pittsburgh
Scholars:
4.5W
Papers: 3.6W
Citations: 7.1W
P
pennsylvania commonwealth system of higher education (pcshe)
Scholars:
12.9W
Papers: 11.7W
Citations: 177
U
university of oxford
Scholars:
9.8W
Papers: 8.6W
Citations: 137
U
University of Michigan
Scholars:
6.4W
Papers: 5.3W
Citations: 124
U
university of michigan system
Scholars:
9.1W
Papers: 8.6W
Citations: 133
U
University of Edinburgh
Scholars:
5.2W
Papers: 4.6W
Citations: 71
U
university of toronto
Scholars:
14.8W
Papers: 12.0W
Citations: 165
S
saint michaels hospital toronto
Scholars:
6.0K
Papers: 5.0K
Citations: 12
researcher View more organizations
Cited Papers

Cited Papers

The Artificial Intelligence Clinician learns optimal treatment strategies for sepsis in intensive care
err2018-10-22
err642
PREAI
errKomorowski, Matthieu; Celi, Leoa; Badawi, Omar; Gordon, Anthony C.; Faisal, A. Aldo
errShare
errSave
Diagnosing sepsis is subjective and highly variable: a survey of intensivists using case vignettes
err2016-04-06
err132
errOAAI
errRhee, Chanu; Kadri, Sameer S.; Danner, Robert L.; Suffredini, Anthony F.; Massaro, Anthony F.; Kitch, Barrett T.; Lee, Grace; Klompas, Michael
errShare
errSave
Membership and Behavior of Ultra-Low-Diversity Pathogen Communities Present in the Gut of Humans during Prolonged Critical Illness
errMBIO
IF4.7
err2014-10-31
err271
errOAAI
errZaborin, Alexander; Smith, Daniel; Garfield, Kevin; Quensen, John; Shakhsheer, Baddr; Kade, Matthew; Tirrell, Matthew; Tiedje, James; Gilbert, Jack A.; Zaborina, Olga; Alverdy, John C.
errShare
errSave
errShare
errSave
Identification of sepsis subtypes in critically ill adults using gene expression profiling
err2012-10-04
err51
errOAAI
errMaslove, David M.; Tang, Benjamin M.; McLean, Anthony S.
errShare
errSave
Incidence and Trends of Sepsis in US Hospitals Using Clinical vs Claims Data, 2009-2014
err2017-10-03
err1.3K
errOAAI
errRhee, Chanu; Dantes, Raymund; Epstein, Lauren; Murphy, David J.; Seymour, Christopher W.; Iwashyna, Theodore J.; Kadri, Sameer S.; Angus, Derek C.; Danner, Robert L.; Fiore, Anthony E.; Jernigan, John A.; Martin, Greg S.; Septimus, Edward; Warren, David K.; Karcz, Anita; Chan, Christina; Menchaca, John T.; Wang, Rui; Gruber, Susan; Klompas, Michael
errShare
errSave
A Randomized Trial of Protocol-Based Care for Early Septic Shock
err2014-05-01
err1.5K
errOAAI
errYealy, Donald M.; Kellum, John A.; Huang, David T.; Barnato, Amber E.; Weissfeld, Lisa A.; Pike, Francis; Terndrup, Thomas; Wang, Henry E.; Hou, Peter C.; LoVecchio, Frank; Filbin, Michael R.; Shapiro, Nathan I.; Angus, Derek C.
errShare
errSave
2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference
err2003-04-01
err5.5K
PREAI
errLevy, MM; Fink, MP; Marshall, JC; Abraham, E; Angus, D; Cook, D; Cohen, J; Opal, SM; Vincent, JL; Ramsay, G
errShare
errSave
researcher View more