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Updated: Aug 16, 2025

A Data-Driven Approach to Quantifying Immune States in Sepsis
Published on: February 7, 2025
[Predictive value of sepsis-induced coagulopathy score on 30-day mortality in septic patients]
Juhao Zeng1, Hongguang Ding2, Wenhong Zhong1
1Department of Critical Care Medicine, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou 510080, Guangdong, China.
Objective:
To evaluate the predictive effect of sepsis-induced coagulopathy (SIC) score level on the prognosis of septic patients under sepsis 3.0 criteria.
Methods:
A retrospective single-center observational study was conducted on the septic patients admitted to the department of critical care medicine and the department of emergency in Guangdong Provincial People's Hospital from August 2016 to July 2021. The baseline data, laboratory indexes and SIC scores of the patients were collected on the first and fourth (4th) day after hospitalization. Whether the patients were survival within 30 days after enrollment was recorded. Univariate and multivariate Logistic regression were used to analyze the independent risk factors for 30-day mortality in septic patients. The receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive value of SIC score on the 30-day prognosis of septic patients.
Results:
A total of 173 patients met the inclusion criteria including 111 (64%) survivors and 62 (36%) non-survivors. There were significant differences in lymphocyte count (LYM), sequential organ failure assessment (SOFA), oxygenation index (PaO2/FiO2) and cardiovascular SOFA score between the survival group and the non-survival group. And there were no significant differences in other indexes. On the first day of admission, there were statistically significant differences in PaO2/FiO2, cardiovascular SOFA score, LYM, SIC score between the non-survival group and the survival group. There were significant differences in international normalized ratio (INR), prothrombin activity (PTA), prothrombin time (PT), PaO2/FiO2, cardiovascular SOFA score, LYM, C-reactive protein (CRP) and procalcitonin (PCT) between the two groups on the 4th day after admission. The mortality of septic patients increased with the increase of SIC score. Binary Logistic regression analysis showed that SIC score and LYM on the 4th day after admission were independent risk factors for 30-day mortality in septic patients (both P < 0.05). The ROC curve showed that SIC score had a certain predictive value for the 30-day prognosis of septic patients [area under the ROC curve (AUC) = 0.712, 95% confidence interval (95%CI) was 0.629-0.794, P < 0.001]. The predictive value of SIC score combined with LYM was better than that of the two alone (AUC = 0.748, 95%CI was 0.688-0.828, P < 0.001).
Conclusions:
The SIC score has a certain predictive value for the 30-day prognosis of septic patients. The predictive value of SIC score combined with LYM is better than that of the two alone, which is expected to be a potential indicator for early assessment of the condition and prognosis of septic patients.
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