ArticleEuropean journal of trauma and emergency surgery : official publication of the European Trauma Society2026
The predictive value of hematologic parameters for adverse clinical outcomes in Earthquake-Related trauma patients: A retrospective study.
Article in European journal of trauma and emergency surgery : official publication of the European Trauma Society, 2026. 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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Abstract
objectiveThis study aimed to evaluate whether the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and mean platelet volume (MPV) can reliably predict adverse clinical outcomes in earthquake-related trauma patients admitted to the emergency department.
methodsThis retrospective study included adult trauma patients presenting to Mersin University Hospital between February 6 and 20, 2023. Demographic variables, admission laboratory values, and adverse clinical outcomes-including rhabdomyolysis, acute compartment syndrome (ACS), crush syndrome (CS), acute kidney injury (AKI), dialysis requirement, fasciotomy, and amputation-were recorded. The predictive performance of NLR, PLR, and MPV was assessed using receiver operating characteristic (ROC) analysis.
resultsA total of 531 patients were included. NLR demonstrated the strongest discriminatory ability across all adverse outcomes, with AUC values of 0.897 for AKI, 0.866 for dialysis, 0.836 for amputation, 0.820 for ACS, 0.785 for fasciotomy, and 0.762 for rhabdomyolysis. PLR showed moderate predictive accuracy for rhabdomyolysis (AUC = 0.574), ACS (AUC = 0.609), amputation (AUC = 0.667), CS (AUC = 0.580), and AKI (AUC = 0.616). MPV demonstrated significant predictive value only for CS (AUC = 0.597) and AKI (AUC = 0.616). Overall, NLR consistently outperformed PLR and MPV.
conclusionHematological biomarkers-particularly NLR-provide meaningful prognostic value for identifying major adverse outcomes in post-disaster trauma. Their rapid availability, low cost, and ease of implementation support their use in early clinical decision-making and resource allocation in disaster-related emergency care.
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