Evidence map›Paper›PMID 40471324›Full record

ArticleLangenbeck's archives of surgery2025

The 24-Hour Leukocyte Gap as a novel predictor for sepsis in adult severe blunt trauma.

Michel Paul Johan Teuben, Alba Shehu, Ester Mikova, Rald Groven, Christian Huebner, Felix Karl-Ludwig Klingebiel, Roman Pfeifer, Hans-Christoph Pape

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Article in Langenbeck's archives of surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Michel Paul Johan TeubenDepartment of Trauma, University Hospital Zurich, Zurich, Switzerland. Michel.teuben@usz.ch.
Alba ShehuDepartment of Trauma, University Hospital Zurich, Zurich, Switzerland.
Ester MikovaUniversity of Bristol Medical School, University of Bristol, Bristol, UK.
Rald GrovenDepartment of Orthopaedic, Trauma, and Reconstructive Surgery, RWTH Aachen University Hospital, Aachen, Germany.
Christian HuebnerDepartment of Trauma, University Hospital Zurich, Zurich, Switzerland.
Felix Karl-Ludwig KlingebielDepartment of Trauma, University Hospital Zurich, Zurich, Switzerland.
Roman PfeiferDepartment of Trauma, University Hospital Zurich, Zurich, Switzerland.
Hans-Christoph PapeDepartment of Trauma, University Hospital Zurich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePredicting the likelihood of developing sepsis following severe trauma remains a challenge. As the incidence of sepsis is associated with early post-traumatic episodes of both leukopenia and leukocytosis, various static markers have been trailed in order to help identify and risk stratify patients, nevertheless these have not proven reliable. The goal of this study was to develop and test a novel dynamic immune parameter that could help predict the risk of developing sepsis, the 24-hour leukocyte gap (24 h-LCG), defined as the difference between blood leukocyte numbers on admission and after 24 h.

methodsA single centre prospective trauma registry was used in order to identify adults who had sustained severe trauma, defined as an Injury Severity Score (ISS) ≥ 9. Patients were stratified into groups based on whether sepsis had occurred. Multivariable regression analysis was performed and utilised in order to analyse predictive immune parameters for sepsis, septic shock and mortality.

results1,592 eligible patients were identified, of whom 251 subsequently developed sepsis. Patients diagnosed with sepsis were younger (p < 0.002), presented with a higher ISS and had worse hemodynamic parameters on admission (p < 0.001). The 24 h-LCG was found to be an independent immunological predictive parameter for sepsis by the multivariable analysis. Moreover, a 24 h-LCG greater than 10, was associated with a significantly increased incidence of septic shock (12.4% vs. 4.3%, p < 0.001) and mortality 6.0 vs. 2.7%, p = 0.036), compared with the control group.

conclusionThis study is the first to demonstrate that 24-hour LCG has clinical potential as an independent and early predictive parameter of sepsis in severely injured trauma patients. Furthermore, its feasibility and clinical translatability comes from the use of routine laboratory measurements, namely leukocytes. Its potential lies in assisting future clinical decision making, particularly with regard to the timing of surgery in trauma patients.

Indexed as

SepsisWounds, NonpenetratingAdultAgedBiomarkersFemaleHumansInjury Severity ScoreLeukocyte CountMaleMiddle AgedPredictive Value of TestsProspective StudiesRegistriesBiomarkers24 h- leukocyte gapImmunomonitoringInflammationLeukocytesSepsisTrauma

Identifiers

PMID40471324
PMCPMC12141107

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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.