Abstract
BACKGROUND: Traumatic coagulopathy (TIC) poses a significant challenge in the management of severe trauma cases. Early identification of TIC and its risk factors is vital for initiating timely interventions. The systemic immune inflammation index (SII), a composite marker of inflammation and immune response, alongside conventional coagulation indices, may hold promise in predicting TIC. Here, this study aimed to evaluate the predictive value of combining SII with coagulation indices for TIC in severe trauma patients, with the goal of enhancing early detection and guiding prompt therapeutic strategies. METHODS: The clinical data of patients with severe trauma treated in our hospital from January 2022 to December 2022 were retrospectively selected. According to the outcome of TIC, the patients were divided into TIC group (n = 50) and non-TIC group (n = 50). The general data, SII and individual indexes of the two groups were compared, and the influencing factors of TIC were analyzed by multivariate Logistics regression. ROC analysis of SII combined with blood coagulation index to predict traumatic coagulation in patients with severe trauma. RESULTS: There was no significant difference in general data between the two groups. SII in TIC group was significantly higher than that in non-TIC group. neutrophil count (NEU), platelet count (PLT), lymphocyte count (LYM), activated partial thromboplastin time (APTT), prothrombin time (PT), fibrinogen (FIB) level, and D-Dimer (D-D) level in TIC group were higher than those in non-TIC group, while LYM, FIB was lower than that in non-TIC group. The logistic regression analysis showed that APTT, D-Dimer, FIB, PT, and SII were independent factors that significantly influenced TIC. The area under the curve of TIC in patients with severe trauma with SII combined with coagulation index was 0.883, and the standard error was 0.032 (95%CI:0.8195~0.9461). The best cut-off value was 0.65. The sensitivity and specificity were 80.3, 84.2 respectively. CONCLUSIONS: SII combined with coagulation index has high predictive value for TIC in patients with severe trauma. By monitoring these indexes, we can more accurately predict the occurrence of TIC and take effective treatment measures in time.