• Emma J de Fraiture, Suus H Bongers, Bernard N Jukema, Leo Koenderman, Nienke Vrisekoop, van WessemKarlijn J PKJPDepartment of Trauma Surgery, University Medical Center Utrecht, P.O. Box 85500, 3508 GA, Utrecht, Netherlands., LeenenLuke P HLPHDepartment of Trauma Surgery, University Medical Center Utrecht, P.O. Box 85500, 3508 GA, Utrecht, Netherlands., and Falco Hietbrink.
• Department of Trauma Surgery, University Medical Center Utrecht, P.O. Box 85500, 3508 GA, Utrecht, Netherlands. e.de.fraiture@antoniusziekenuis.nl.
• Eur J Trauma Emerg Surg. 2023 Apr 1; 49 (2): 102310341023-1034.

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.© 2022. The Author(s).

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