Sepsis Subclasses: A Framework for Development and Interpretation.
Abstract
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.
Type
Journal articlePermalink
https://hdl.handle.net/10161/22719Published Version (Please cite this version)
10.1097/ccm.0000000000004842Publication Info
DeMerle, Kimberley M; Angus, Derek C; Baillie, J Kenneth; Brant, Emily; Calfee, Carolyn
S; Carcillo, Joseph; ... Seymour, Christopher W (2021). Sepsis Subclasses: A Framework for Development and Interpretation. Critical care medicine, 49(5). pp. 748-759. 10.1097/ccm.0000000000004842. Retrieved from https://hdl.handle.net/10161/22719.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Christopher Lindsell
Professor of Biostatistics & Bioinformatics
As Director, Chris Lindsell, PhD leads the visionary strategic planning, development,
and execution of state-of-the-art research for DCRI to achieve its scientific goals.
He also serves as a member of the Senior Management Team and, along with Dr. Laine
Thomas, will partner with Jack Shostak, Director of Statistical Operations, to execute
research.
Lindsell has served as the Institute fo
Ephraim Tsalik
Adjunct Associate Professor in the Department of Medicine
My research at Duke has focused on understanding the dynamic between host and pathogen
so as to discover and develop host-response markers that can diagnose and predict
health and disease. This new and evolving approach to diagnosing illness has the
potential to significantly impact individual as well as public health considering
the rise of antibiotic resistance.
With any potential infectious disease diagnosis, it is difficult, if not impossible,
to determine at the time of pre
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