Sepsis subphenotypes, theragnostics and personalized sepsis care
File(s)
Published online version
Author(s)
Type
Journal Article
Abstract
Heterogeneity between critically ill patients with sepsis is a major barrier to the discovery of effective therapies. The use of machine learning techniques, coupled with improved understanding of sepsis biology, has led to the identification of patient subphenotypes. This exciting development may help overcome the problem of patient heterogeneity and lead to the identification of patient subgroups with treatable traits. Re-analyses of completed clinical trials have demonstrated that patients with different subphenotypes may respond differently to treatments. This suggests that future clinical trials that take a precision medicine approach will have a higher likelihood of identifying effective therapeutics for patients based on their subphenotype. In this review, we describe the emerging subphenotypes identified in the critically ill and outline the promising immune modulation therapies which could have a beneficial treatment effect within some of these subphenotypes. Furthermore, we will also highlight how bringing subphenotype identification to the bedside could enable a new generation of precision-medicine clinical trials.
Date Issued
2025-03-31
Date Acceptance
2025-03-16
Citation
Intensive Care Medicine, 2025
ISSN
0342-4642
Publisher
Springer Science and Business Media LLC
Journal / Book Title
Intensive Care Medicine
Copyright Statement
© 2025 The Author(s) Open Access This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.
License URL
Identifier
10.1007/s00134-025-07873-6
Subjects
Sepsis
Critical illness
Phenotype
Sub-phenotype
Heterogeneity of treatment effect
Precision medicine
Publication Status
Published online
Date Publish Online
2025-03-31