Fuzzy classification of sepsis subtypes and implications for trajectory and treatment

EBioMedicine 2026 Open access

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Authors: Jason N. Kennedy, Stuthi Iyer, Peter C. Nauka, Katherine M. Reitz, Joyce M. Chang, Lu Tang, Donald M. Yealy, Derek C Angus, Rombout B. E. van Amstel, Lonneke A. van Vught, Christopher W. Seymour
DOI: 10.1016/j.ebiom.2026.106125
Cited by: 2
References: 12

Abstract

BACKGROUND: Sepsis is common and deadly, and subtypes are proposed to guide precision treatment. However, little is known about the uncertainty in subtype classification, and its implications for trajectory and treatment response. METHODS: In multiple electronic health record and trial data of adults with sepsis, we assigned patients clinical sepsis subtypes (α, β, γ, or δ-type), and measured uncertainty by defining core (≥90%) and margin (

Fields of Study & Subjects

Sepsis Diagnosis and Treatment Trauma Hemostasis Coagulopathy Resuscitation Hemodynamic Monitoring and Therapy

Publication details

Journal / source
EBioMedicine
Publisher
Elsevier BV
Volume
124
Pages
106125–106125
Publication date
19 January 2026
Language
EN