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Uncovering heterogeneity in sepsis: a comparative analysis of subphenotypes
PURPOSE: The heterogeneity in sepsis is held responsible, in part, for the lack of precision treatment. Many attempts to identify subtypes of sepsis patients identify those with shared underlying biology or outcomes. To date, though, there has been limited effort to determine overlap across these pr...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622359/ https://www.ncbi.nlm.nih.gov/pubmed/37851064 http://dx.doi.org/10.1007/s00134-023-07239-w |
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author | van Amstel, Rombout B. E. Kennedy, Jason N. Scicluna, Brendon P. Bos, Lieuwe D. J. Peters-Sengers, Hessel Butler, Joe M. Cano-Gamez, Eddie Knight, Julian C. Vlaar, Alexander P. J. Cremer, Olaf L. Angus, Derek C. van der Poll, Tom Seymour, Christopher W. van Vught, Lonneke A. |
author_facet | van Amstel, Rombout B. E. Kennedy, Jason N. Scicluna, Brendon P. Bos, Lieuwe D. J. Peters-Sengers, Hessel Butler, Joe M. Cano-Gamez, Eddie Knight, Julian C. Vlaar, Alexander P. J. Cremer, Olaf L. Angus, Derek C. van der Poll, Tom Seymour, Christopher W. van Vught, Lonneke A. |
author_sort | van Amstel, Rombout B. E. |
collection | PubMed |
description | PURPOSE: The heterogeneity in sepsis is held responsible, in part, for the lack of precision treatment. Many attempts to identify subtypes of sepsis patients identify those with shared underlying biology or outcomes. To date, though, there has been limited effort to determine overlap across these previously identified subtypes. We aimed to determine the concordance of critically ill patients with sepsis classified by four previously described subtype strategies. METHODS: This secondary analysis of a multicenter prospective observational study included 522 critically ill patients with sepsis assigned to four previously established subtype strategies, primarily based on: (i) clinical data in the electronic health record (α, β, γ, and δ), (ii) biomarker data (hyper- and hypoinflammatory), and (iii–iv) transcriptomic data (Mars1–Mars4 and SRS1–SRS2). Concordance was studied between different subtype labels, clinical characteristics, biological host response aberrations, as well as combinations of subtypes by sepsis ensembles. RESULTS: All four subtype labels could be adjudicated in this cohort, with the distribution of the clinical subtype varying most from the original cohort. The most common subtypes in each of the four strategies were γ (61%), which is higher compared to the original classification, hypoinflammatory (60%), Mars2 (35%), and SRS2 (54%). There was no clear relationship between any of the subtyping approaches (Cramer’s V = 0.086–0.456). Mars2 and SRS1 were most alike in terms of host response biomarkers (p = 0.079–0.424), while other subtype strategies showed no clear relationship. Patients enriched for multiple subtypes revealed that characteristics and outcomes differ dependent on the combination of subtypes made. CONCLUSION: Among critically ill patients with sepsis, subtype strategies using clinical, biomarker, and transcriptomic data do not identify comparable patient populations and are likely to reflect disparate clinical characteristics and underlying biology. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00134-023-07239-w. |
format | Online Article Text |
id | pubmed-10622359 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-106223592023-11-04 Uncovering heterogeneity in sepsis: a comparative analysis of subphenotypes van Amstel, Rombout B. E. Kennedy, Jason N. Scicluna, Brendon P. Bos, Lieuwe D. J. Peters-Sengers, Hessel Butler, Joe M. Cano-Gamez, Eddie Knight, Julian C. Vlaar, Alexander P. J. Cremer, Olaf L. Angus, Derek C. van der Poll, Tom Seymour, Christopher W. van Vught, Lonneke A. Intensive Care Med Original PURPOSE: The heterogeneity in sepsis is held responsible, in part, for the lack of precision treatment. Many attempts to identify subtypes of sepsis patients identify those with shared underlying biology or outcomes. To date, though, there has been limited effort to determine overlap across these previously identified subtypes. We aimed to determine the concordance of critically ill patients with sepsis classified by four previously described subtype strategies. METHODS: This secondary analysis of a multicenter prospective observational study included 522 critically ill patients with sepsis assigned to four previously established subtype strategies, primarily based on: (i) clinical data in the electronic health record (α, β, γ, and δ), (ii) biomarker data (hyper- and hypoinflammatory), and (iii–iv) transcriptomic data (Mars1–Mars4 and SRS1–SRS2). Concordance was studied between different subtype labels, clinical characteristics, biological host response aberrations, as well as combinations of subtypes by sepsis ensembles. RESULTS: All four subtype labels could be adjudicated in this cohort, with the distribution of the clinical subtype varying most from the original cohort. The most common subtypes in each of the four strategies were γ (61%), which is higher compared to the original classification, hypoinflammatory (60%), Mars2 (35%), and SRS2 (54%). There was no clear relationship between any of the subtyping approaches (Cramer’s V = 0.086–0.456). Mars2 and SRS1 were most alike in terms of host response biomarkers (p = 0.079–0.424), while other subtype strategies showed no clear relationship. Patients enriched for multiple subtypes revealed that characteristics and outcomes differ dependent on the combination of subtypes made. CONCLUSION: Among critically ill patients with sepsis, subtype strategies using clinical, biomarker, and transcriptomic data do not identify comparable patient populations and are likely to reflect disparate clinical characteristics and underlying biology. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00134-023-07239-w. Springer Berlin Heidelberg 2023-10-18 2023 /pmc/articles/PMC10622359/ /pubmed/37851064 http://dx.doi.org/10.1007/s00134-023-07239-w Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/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/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original van Amstel, Rombout B. E. Kennedy, Jason N. Scicluna, Brendon P. Bos, Lieuwe D. J. Peters-Sengers, Hessel Butler, Joe M. Cano-Gamez, Eddie Knight, Julian C. Vlaar, Alexander P. J. Cremer, Olaf L. Angus, Derek C. van der Poll, Tom Seymour, Christopher W. van Vught, Lonneke A. Uncovering heterogeneity in sepsis: a comparative analysis of subphenotypes |
title | Uncovering heterogeneity in sepsis: a comparative analysis of subphenotypes |
title_full | Uncovering heterogeneity in sepsis: a comparative analysis of subphenotypes |
title_fullStr | Uncovering heterogeneity in sepsis: a comparative analysis of subphenotypes |
title_full_unstemmed | Uncovering heterogeneity in sepsis: a comparative analysis of subphenotypes |
title_short | Uncovering heterogeneity in sepsis: a comparative analysis of subphenotypes |
title_sort | uncovering heterogeneity in sepsis: a comparative analysis of subphenotypes |
topic | Original |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10622359/ https://www.ncbi.nlm.nih.gov/pubmed/37851064 http://dx.doi.org/10.1007/s00134-023-07239-w |
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