Evidence map›Paper›PMID 36348032›Full record

ArticleEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2023

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

Emma J de Fraiture, Suus H Bongers, Bernard N Jukema, Leo Koenderman, Nienke Vrisekoop, Karlijn J P van Wessem, Luke P H Leenen, Falco Hietbrink

Abstract read
In one paragraph

Article in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Neutrophil cell surface receptor dynamics following trauma: a systematic review.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Pooled it
  2. Neutrophil phenotyping reflects injury severity when base excess and lactate remain normal.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Article
  3. International comparison of neutrophil surface markers after severe trauma is feasible using point of care flowcytometry - results from a pilot study.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2026
    Article
  4. Injury to the thorax is a dominant contributor to post-traumatic neutrophil mediated inflammatory response.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    Article
  5. Article
  6. Defining the early systemic neutrophil signature after severe trauma: decreased CD10/CD16 levels on admission precedes metabolic dysregulation.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
  7. Exploratory Study of CD10Scandinavian journal of immunology · 2025
    Article
  8. Change in resuscitation influenced development and severity of inflammatory complications in severely injured.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
  9. Exploring the role of systemic inflammation in guiding clinical decision making for geriatric patients with a hip fracture.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2025
    Article
  10. Article
  11. Article
  12. Limited impact of traumatic brain injury on the post-traumatic inflammatory cellular response.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2024
    Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Emma J de FraitureDepartment of Trauma Surgery, University Medical Center Utrecht, P.O. Box 85500, 3508 GA, Utrecht, Netherlands. e.de.fraiture@antoniusziekenuis.nl.ORCID http://orcid.org/0000-0003-4766-566X
Suus H BongersDepartment of Trauma Surgery, University Medical Center Utrecht, P.O. Box 85500, 3508 GA, Utrecht, Netherlands.
Bernard N JukemaDepartment of Respiratory Medicine, University Medical Center Utrecht, Utrecht, Netherlands.
Leo KoendermanDepartment of Respiratory Medicine, University Medical Center Utrecht, Utrecht, Netherlands.
Nienke VrisekoopDepartment of Respiratory Medicine, University Medical Center Utrecht, Utrecht, Netherlands.
Karlijn J P van WessemDepartment of Trauma Surgery, University Medical Center Utrecht, P.O. Box 85500, 3508 GA, Utrecht, Netherlands.
Luke P H LeenenDepartment of Trauma Surgery, University Medical Center Utrecht, P.O. Box 85500, 3508 GA, Utrecht, Netherlands.
Falco HietbrinkDepartment of Trauma Surgery, University Medical Center Utrecht, P.O. Box 85500, 3508 GA, Utrecht, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe 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.

methodsA 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.

resultsThe 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.

conclusionThe 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.

Indexed as

NeutrophilsCohort StudiesHumansPhenotypeInfectionInflammationInjuryNeutrophilTrauma

Identifiers

PMID36348032
PMCPMC10175373

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.