Objective: The aim of this study was to identify the risk factors for sepsis-induced coagulopathy (SIC). Methods: A retrospective analysis was conducted on 170 sepsis patients, including 131 in the SIC group and 39 in the non-SIC group. Clinical characteristics, thromboelastography parameters, and microbiological data were collected and analyzed for each patient. The predictive value of these parameters in SIC patients was evaluated using receiver operating characteristic (ROC) curve analysis. Results: Univariate analysis showed significant differences between the two groups in terms of lymphocyte count, interleukin-10 (IL-10), interleukin-6 (IL-6), digestive system tumors, history of surgical treatment, magnesium ion concentration, and thromboelastography R value (P < .05). Multivariate logistic regression analysis indicated that IL-6 (β = 0.004, OR = 1.004, 95% CI: 1.002-1.007) was an independent risk factor for SIC (P < .05), while the absolute lymphocyte count (β = -0.504, OR = 0.604, 95% CI: 0.431-0.847) was an independent protective factor (P < .05). ROC curve analysis showed that the area under the curve (AUC) for predicting SIC by absolute lymphocyte count and IL-6 was 0.716 and 0.963 (P < .05). Conclusion: lymphocyte count and IL-6 have certain predictive value for whether sepsis patients develop SIC. It is particularly noteworthy that IL-6 is not only an independent risk factor (OR = 1.004), but also shows extremely high predictive efficacy (AUC = 0.963). In clinical practice, when IL-6 levels rise, the possibility of SIC should be vigilant, and its continuous increase may also indicate a poor prognosis for SIC patients.
Keywords: predictive value; risk factors; sepsis-induced coagulopathy.