The Application of Systemic Immune Inflammation Index Combined with Cytokine Detection in Patients with Sepsis
Objective To explore the usage of systemic immune-inflammation index(SⅡ)and combined cytokine detection in patients with sepsis.Methods A total of 117 infection patients admitted to a hospital from September,2022 to December,2023 were enrolled in this study.According to the severity of infections,these patients were divided into three groups:sepsis group(40 cases),severe infection group(32 cases)and common infection group(45 cases).General clinical data such as body mass index(BMI),infection site,underlying disease and laboratory indicators such as SⅡ,IL-6,and IL-8 were compared among different patient groups.Multivariate logistic regression was applied to screen potential influencing factors of sepsis,and the corresponding prediction model was constructed to evaluate the application value of SⅡ,IL-6 and IL-8 in the diagnosis of sepsis.Results Levels of SⅡ,IL-6 and IL-8 in the common infection group,the severe infection group,and the sepsis group gradually increased,and the differences were statistically significant(P＜0.05).Multivariate logistic regression analysis showed that SOFA score,APACHE-Ⅱ score,SⅡ,IL-6 and IL-8 were independent risk factors for sepsis(P＜0.05).BMI,SOFA score and APACHE-Ⅱ score in patients with sepsis were higher than those in patients without sepsis(P＜0.05).IL-8 was identified as the strongest independent risk factor for diagnosing sepsis.The prediction model constructed by combining SⅡ,IL-6 and IL-8 had higher sensitivity,specificity and bigger area under the ROC curve(AUC:90.00％,91.20％and 0.914),which were all higher than those of SⅡ,IL-6 and IL-8 individually.Conclusion SⅡ,IL-6,and IL-8 can be used to determine the severity of infection and are independent risk factors for the diagnosis of sepsis.The combined detection of these three markers can improve the efficiency of the early diagnosis of sepsis and timely intervention,thereby improving the prognosis of patients.
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