Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/96028
Title: Sepsis subclasses : a framework for development and interpretation
Authors: DeMerle, Kimberley M.
Angus, Derek C.
Kenneth Baillie, J.
Brant, Emily
Calfee, Carolyn S.
Carcillo, Joseph
Chang, Chung-Chou H.
Dickson, Robert
Evans, Idris
Gordon, Anthony C.
Kennedy, Jason
Knight, Julian C.
Lindsell, Christopher J.
Liu, Vincent
Marshall, John C.
Randolph, Adrienne G.
Scicluna, Brendon P.
Shankar-Hari, Manu
Shapiro, Nathan I.
Sweeney, Timothy E.
Talisa, Victor B.
Tang, Benjamin
Taylor Thompson, B.
Tsalik, Ephraim L.
Poll, Tom van der
Vught, Lonneke A. van
Wong, Hector R.
Yende, Sachin
Zhao, Huiying
Seymour, Christopher W.
Keywords: Phenotype
Septicemia -- Diagnosis
Evidence-based medicine -- Case studies
Intensive care units
Issue Date: 2021
Publisher: Society of Critical Care Medicine and Wolters Kluwer Health, Inc.
Citation: DeMerle, K. M., Angus, D. C., Baillie, J. K., Brant, E., Calfee, C. S., Carcillo, J., ... & Seymour, C. W. (2021). Sepsis subclasses: a framework for development and interpretation. Critical Care Medicine, 49(5), 748-759.
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.
URI: https://www.um.edu.mt/library/oar/handle/123456789/96028
Appears in Collections:Scholarly Works - FacHScABS

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