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Background: Trauma induced coagulopathy remains to be an important cause of high transfusion requirements and mortality and shock induced endotheliopathy (SHINE) has been implicated. Methods: European multicenter observational study of adult trauma patients with injury severity score ≥ 16 arriving within 2 h from injury to the trauma centers. Admission blood samples obtained were used for analysis of the SHINE biomarkers (syndecan-1, soluble thrombomodulin, adrenaline) and extensive analysis of coagulation, -and fibrinolytic factors together with collection of clinical data. Hierarchical clustering of the SHINE biomarkers was used to identify the SHINE phenotypes. Results: The 313 patients clustered into four SHINE phenotypes. Phenotype 2, having the highest glycocalyx shedding, encompassing 22% of the whole cohort, had severe coagulopathy with lower levels of prothrombin, FV, IX, X, XI and severe hyperfibrinolysis with higher plasmin – alpha 2-antiplasmin (PAP) – and tPA levels and lower alpha2 – antiplasmin levels. This phenotype had significantly higher transfusion requirements and higher mortality (39% vs. 23%, 15% and 14%) but similar injury severity score (ISS) compared to the others phenotypes. Conclusions: Hierarchical clustering identified four SHINE phenotype in a cohort of trauma patients. Trauma induced coagulopathy was confined to only one of the SHINE phenotypes, encompassing 22% of the total cohort. This phenotype was characterized by severe hypocoagulability and hyperfibrinolysis, which translated to significantly higher transfusion requirements and higher mortality compared to the other SHINE phenotypes with similar injury severity, warranting further investigation.

Background: Trauma induced coagulopathy remains to be an important cause of high transfusion requirements and mortality and shock induced endotheliopathy (SHINE) has been implicated. Methods: European multicenter observational study of adult trauma patients with injury severity score ≥ 16 arriving within 2 h from injury to the trauma centers. Admission blood samples obtained were used for analysis of the SHINE biomarkers (syndecan-1, soluble thrombomodulin, adrenaline) and extensive analysis of coagulation, -and fibrinolytic factors together with collection of clinical data. Hierarchical clustering of the SHINE biomarkers was used to identify the SHINE phenotypes. Results: The 313 patients clustered into four SHINE phenotypes. Phenotype 2, having the highest glycocalyx shedding, encompassing 22% of the whole cohort, had severe coagulopathy with lower levels of prothrombin, FV, IX, X, XI and severe hyperfibrinolysis with higher plasmin – alpha 2-antiplasmin (PAP) – and tPA levels and lower alpha2 – antiplasmin levels. This phenotype had significantly higher transfusion requirements and higher mortality (39% vs. 23%, 15% and 14%) but similar injury severity score (ISS) compared to the others phenotypes. Conclusions: Hierarchical clustering identified four SHINE phenotype in a cohort of trauma patients. Trauma induced coagulopathy was confined to only one of the SHINE phenotypes, encompassing 22% of the total cohort. This phenotype was characterized by severe hypocoagulability and hyperfibrinolysis, which translated to significantly higher transfusion requirements and higher mortality compared to the other SHINE phenotypes with similar injury severity, warranting further investigation.

Background: Most studies describing traumatic coagulopathy have used data from patient cohorts with an average age of between 35 and 45 years. The last 10 years has seen a steep increase in the number of patients admitted with significant injury and bleeding who are older than the age of 65 years. Many coagulation protein levels alter significantly with normal aging, and it is possible that traumatic coagulopathy has a different signature with age. Objectives: The aim of this study was to report the coagulation profiles, including standard and extended laboratory, as well as viscoelastic hemostatic assays, stratified according to age to explore age-related differences in hemostatic capability. Methods: In total, 1576 patients were analyzed from 6 European level 1 trauma centers. Results: As age increased, there was evidence of higher fibrinogen, greater thrombin generation, greater clotting factor consumption, and greater activation of fibrinolysis. Despite this, shock and severe injury led to the same pattern of changes within age groups: lower procoagulant factors (including fibrinogen), increased fibrinolysis, and higher levels of activated protein C. Thromboelastography and rotational thromboelastometry tests detected traumatic coagulopathy with prolongation of R/clotting time and reductions in clot amplitudes in each age cohort. Advancing age strongly correlated with higher fibrinogen levels and greater fibrinolysis. Conclusion: Age-related coagulation changes are evident in injured patients. Broadly, similar patterns of coagulation abnormalities are seen across age groups following severe injury/shock, but thresholds for single clotting factors differ. Age-related differences may need to be considered when clinical treatments (eg, transfusion therapy) are indicated.