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Visualization of the inflammatory response to injury by neutrophil phenotype categories: Neutrophil phenotypes after trauma

PURPOSE: The risk of infectious complications after trauma is determined by the amount of injury-related tissue damage and the resulting inflammatory response. Recently, it became possible to measure the neutrophil phenotype in a point-of-care setting. The primary goal of this study was to investiga...

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Autores principales: de Fraiture, Emma J., Bongers, Suus H., Jukema, Bernard N., Koenderman, Leo, Vrisekoop, Nienke, van Wessem, Karlijn J. P., Leenen, Luke P. H., Hietbrink, Falco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10175373/
https://www.ncbi.nlm.nih.gov/pubmed/36348032
http://dx.doi.org/10.1007/s00068-022-02134-3
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author de Fraiture, Emma J.
Bongers, Suus H.
Jukema, Bernard N.
Koenderman, Leo
Vrisekoop, Nienke
van Wessem, Karlijn J. P.
Leenen, Luke P. H.
Hietbrink, Falco
author_facet de Fraiture, Emma J.
Bongers, Suus H.
Jukema, Bernard N.
Koenderman, Leo
Vrisekoop, Nienke
van Wessem, Karlijn J. P.
Leenen, Luke P. H.
Hietbrink, Falco
author_sort de Fraiture, Emma J.
collection PubMed
description PURPOSE: The risk of infectious complications after trauma is determined by the amount of injury-related tissue damage and the resulting inflammatory response. Recently, it became possible to measure the neutrophil phenotype in a point-of-care setting. The primary goal of this study was to investigate if immunophenotype categories based on visual recognition of neutrophil subsets are applicable to interpret the inflammatory response to trauma. The secondary goal was to correlate these immunophenotype categories with patient characteristics, injury severity and risk of complications. METHODS: A cohort study was conducted with patients presented at a level 1 trauma center with injuries of any severity, who routinely underwent neutrophil phenotyping. Data generated by automated point-of-care flow cytometry were prospectively gathered. Neutrophil phenotypes categories were defined by visual assessment of two-dimensional CD16/CD62L dot plots. All patients were categorized in one of the immunophenotype categories. Thereafter, the categories were validated by multidimensional analysis of neutrophil populations, using FlowSOM. All clinical parameters and endpoints were extracted from the trauma registry. RESULTS: The study population consisted of 380 patients. Seven distinct immunophenotype Categories (0–6) were defined, that consisted of different neutrophil populations as validated by FlowSOM. Injury severity scores and risk of infectious complications increased with ascending immunophenotype Categories 3–6. Injury severity was similarly low in Categories 0–2. CONCLUSION: The distribution of neutrophil subsets that were described in phenotype categories is easily recognizable for clinicians at the bedside. Even more, multidimensional analysis demonstrated these categories to be distinct subsets of neutrophils. Identification of trauma patients at risk for infectious complications by monitoring the immunophenotype category is a further improvement of personalized and point-of-care decision-making in trauma care. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00068-022-02134-3.
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spelling pubmed-101753732023-05-13 Visualization of the inflammatory response to injury by neutrophil phenotype categories: Neutrophil phenotypes after trauma de Fraiture, Emma J. Bongers, Suus H. Jukema, Bernard N. Koenderman, Leo Vrisekoop, Nienke van Wessem, Karlijn J. P. Leenen, Luke P. H. Hietbrink, Falco Eur J Trauma Emerg Surg Original Article PURPOSE: The risk of infectious complications after trauma is determined by the amount of injury-related tissue damage and the resulting inflammatory response. Recently, it became possible to measure the neutrophil phenotype in a point-of-care setting. The primary goal of this study was to investigate if immunophenotype categories based on visual recognition of neutrophil subsets are applicable to interpret the inflammatory response to trauma. The secondary goal was to correlate these immunophenotype categories with patient characteristics, injury severity and risk of complications. METHODS: A cohort study was conducted with patients presented at a level 1 trauma center with injuries of any severity, who routinely underwent neutrophil phenotyping. Data generated by automated point-of-care flow cytometry were prospectively gathered. Neutrophil phenotypes categories were defined by visual assessment of two-dimensional CD16/CD62L dot plots. All patients were categorized in one of the immunophenotype categories. Thereafter, the categories were validated by multidimensional analysis of neutrophil populations, using FlowSOM. All clinical parameters and endpoints were extracted from the trauma registry. RESULTS: The study population consisted of 380 patients. Seven distinct immunophenotype Categories (0–6) were defined, that consisted of different neutrophil populations as validated by FlowSOM. Injury severity scores and risk of infectious complications increased with ascending immunophenotype Categories 3–6. Injury severity was similarly low in Categories 0–2. CONCLUSION: The distribution of neutrophil subsets that were described in phenotype categories is easily recognizable for clinicians at the bedside. Even more, multidimensional analysis demonstrated these categories to be distinct subsets of neutrophils. Identification of trauma patients at risk for infectious complications by monitoring the immunophenotype category is a further improvement of personalized and point-of-care decision-making in trauma care. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00068-022-02134-3. Springer Berlin Heidelberg 2022-11-08 2023 /pmc/articles/PMC10175373/ /pubmed/36348032 http://dx.doi.org/10.1007/s00068-022-02134-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits 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/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
de Fraiture, Emma J.
Bongers, Suus H.
Jukema, Bernard N.
Koenderman, Leo
Vrisekoop, Nienke
van Wessem, Karlijn J. P.
Leenen, Luke P. H.
Hietbrink, Falco
Visualization of the inflammatory response to injury by neutrophil phenotype categories: Neutrophil phenotypes after trauma
title Visualization of the inflammatory response to injury by neutrophil phenotype categories: Neutrophil phenotypes after trauma
title_full Visualization of the inflammatory response to injury by neutrophil phenotype categories: Neutrophil phenotypes after trauma
title_fullStr Visualization of the inflammatory response to injury by neutrophil phenotype categories: Neutrophil phenotypes after trauma
title_full_unstemmed Visualization of the inflammatory response to injury by neutrophil phenotype categories: Neutrophil phenotypes after trauma
title_short Visualization of the inflammatory response to injury by neutrophil phenotype categories: Neutrophil phenotypes after trauma
title_sort visualization of the inflammatory response to injury by neutrophil phenotype categories: neutrophil phenotypes after trauma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10175373/
https://www.ncbi.nlm.nih.gov/pubmed/36348032
http://dx.doi.org/10.1007/s00068-022-02134-3
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