Evaluating the prognostic utility of the SIC score in combination with soluble thrombomodulin for sepsis patients
10.3760/cma.j.issn.1671-0282.2025.06.013
- VernacularTitle:SIC评分联合可溶性血栓调节蛋白对脓毒症患者预后的评估价值
- Author:
Lei GUO
1
;
Caizhi SUN
;
Haidong QIN
Author Information
1. 南京医科大学附属南京医院（南京市第一医院）急诊科，南京 210006
- Keywords:
Sepsis;
SIC score;
Thrombomodulin;
Prognosis
- From:
Chinese Journal of Emergency Medicine
2025;34(6):823-828
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the correlation between sepsis-induced coagulopathy (SIC) scores, soluble thrombomodulin (sTM) levels, and disease severity in septic patients, and to evaluate their individual and combined predictive value for patient prognosis.Methods:This retrospective cohort study included 212 sepsis patients admitted to the ICU of Nanjing Hospital affiliated with Nanjing Medical University from April 2021 to April 2024. Clinical data collected within 24 hours of admission included demographics, laboratory parameters (routine blood tests, coagulation profiles, biochemistry, inflammatory markers), sTM levels, SOFA scores, APACHEⅡ scores, and SIC scores. Patients were stratified into survival ( n=124) and non-survival ( n=88) groups based on 30-day mortality. Intergroup comparisons were performed, and Spearman correlation analysis assessed relationships between SIC scores, sTM, and APACHEⅡ scores. Multivariate logistic regression identified prognostic factors, while ROC curve analysis evaluated the predictive performance of SIC scores, sTM, and their combination for 30-day mortality. Results:The non-survival group exhibited significantly higher levels of PCT [25.3 (10.8, 87.4)μg/L vs. 11.7 (7.0, 18.9) μg/L], APACHEⅡ scores (27.48±7.01 vs. 21.75±5.68), SIC scores [4.0 (3.5, 5.0) vs. 2.5 (1.0, 4.0)], and sTM [17.2 (11.6, 36.2) TU/mL vs. 10.3 (8.7, 14.6) TU/mL] compared to survivors (all P<0.05). Both SIC scores ( r=0.482) and sTM ( r=0.379) correlated positively with APACHE II scores ( P<0.05). Multivariate analysis identified APACHEⅡ score, PCT, sTM, and SIC score as independent prognostic predictors (all P<0.05). ROC analysis demonstrated predictive utility for SIC scores (AUC=0.733) and sTM (AUC=0.592), with SIC scores approximating APACHE II performance (AUC=0.755). The combined SIC-sTM model showed superior predictive accuracy (AUC=0.887; sensitivity=92.5%; specificity=76.5%) versus individual markers. Conclusions:SIC scores and sTM levels correlate significantly with sepsis severity. Their combined use enhances prognostic assessment, offering clinically valuable predictive performance for 30-day mortality in septic patients.
