Multicenter Validation of Clinical Sepsis Phenotypes

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Sepsis is a life-threatening condition characterized by organ dysfunction due to a dysregulated host response to infection.
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Seymour et al identified four distinct sepsis phenotypes using machine learning on electronic health record data from emergency department patients.
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The study aimed to validate the SENECA sepsis phenotypes in three international healthcare settings outside the US.
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Data was collected from emergency departments in Oslo, Stockholm, and Oxford, including adult patients meeting sepsis criteria.
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The study followed the STROBE reporting guideline and utilized multiple imputation for handling missing data in the analysis.

Jama Network Open

by Chang Ho Yoon, Daniel Sjöholm, Kristin E. Wickstrøm, Anders Skyrud Danielsen, Christian Prebensen, John Karlsson Valik, Aleksander Rygh Holten, Erik Koldberg Amundsen, A. Sarah Walker, David W. Eyre, Valeria Vitelli, Pontus Nauclér
June 1, 2026

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