Predictive value of systemic immune inflammation index combined with coagulation index in traumatic coagulopathy in patients with severe trauma

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...

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Main Authors: Chen Wang, Yongyong Huang, Shiyun Liao, Jiming Song
Format: Article
Language:English
Published: Society of Medical Biochemists of Serbia, Belgrade 2025-01-01
Series:Journal of Medical Biochemistry
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Online Access:https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2025/1452-82582501055C.pdf
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author Chen Wang
Yongyong Huang
Shiyun Liao
Jiming Song
author_facet Chen Wang
Yongyong Huang
Shiyun Liao
Jiming Song
author_sort Chen Wang
collection DOAJ
description 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.
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spelling doaj-art-ec9ac9003f9b4d2c89e31adbb0df24a82025-02-05T13:11:23ZengSociety of Medical Biochemists of Serbia, BelgradeJournal of Medical Biochemistry1452-82581452-82662025-01-01441556010.5937/jomb0-512851452-82582501055CPredictive value of systemic immune inflammation index combined with coagulation index in traumatic coagulopathy in patients with severe traumaChen Wang0Yongyong Huang1Shiyun Liao2Jiming Song3Longhua District Central Hospital of Shenzhen, Emergency Department, Shenzhene, ChinaLonghua District Central Hospital of Shenzhen, Emergency Department, Shenzhene, ChinaLonghua District Central Hospital of Shenzhen, Emergency Department, Shenzhene, ChinaLonghua District Central Hospital of Shenzhen, Surgical Anesthesiology Department, Shenzhen, ChinaBackground: 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.https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2025/1452-82582501055C.pdfsystemic immune inflammatory indexcoagulation indexsevere traumatraumatic coagulopathy
spellingShingle Chen Wang
Yongyong Huang
Shiyun Liao
Jiming Song
Predictive value of systemic immune inflammation index combined with coagulation index in traumatic coagulopathy in patients with severe trauma
Journal of Medical Biochemistry
systemic immune inflammatory index
coagulation index
severe trauma
traumatic coagulopathy
title Predictive value of systemic immune inflammation index combined with coagulation index in traumatic coagulopathy in patients with severe trauma
title_full Predictive value of systemic immune inflammation index combined with coagulation index in traumatic coagulopathy in patients with severe trauma
title_fullStr Predictive value of systemic immune inflammation index combined with coagulation index in traumatic coagulopathy in patients with severe trauma
title_full_unstemmed Predictive value of systemic immune inflammation index combined with coagulation index in traumatic coagulopathy in patients with severe trauma
title_short Predictive value of systemic immune inflammation index combined with coagulation index in traumatic coagulopathy in patients with severe trauma
title_sort predictive value of systemic immune inflammation index combined with coagulation index in traumatic coagulopathy in patients with severe trauma
topic systemic immune inflammatory index
coagulation index
severe trauma
traumatic coagulopathy
url https://scindeks-clanci.ceon.rs/data/pdf/1452-8258/2025/1452-82582501055C.pdf
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AT shiyunliao predictivevalueofsystemicimmuneinflammationindexcombinedwithcoagulationindexintraumaticcoagulopathyinpatientswithseveretrauma
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