Sepsis Subclasses: A Framework for Development and Interpretation

Kimberley M. Demerle, Derek C. Angus, J. Kenneth Baillie, Emily Brant, Carolyn S. Calfee, Joseph Carcillo, Chung-Chou H. Chang, Robert Dickson, Idris Evans, Anthony C. Gordon, Jason Kennedy, Julian C. Knight, Christopher J. Lindsell, Vincent Liu, John C. Marshall, Adrienne G. Randolph, Brendon P. Scicluna, Manu Shankar-Hari, Nathan I. Shapiro, Timothy E. SweeneyVictor B. Talisa, Benjamin Tang, B. Taylor Thompson, Ephraim L. Tsalik, Tom van der Poll, Lonneke A. van Vught, Hector R. Wong, Sachin Yende, Huiying Zhao, Christopher W. Seymour

Research output: Contribution to journalArticleAcademicpeer-review

76 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)748-759
Number of pages12
JournalCritical Care Medicine
Volume49
Issue number5
Early online date2021
DOIs
Publication statusPublished - May 2021

Keywords

  • heterogeneity
  • phenotype
  • sepsis
  • subclass

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