Analysis of the relationship between the systemic immune-inflammation index and post-stroke infection as well as the prognostic outcome in acute cerebral infarction
WU Qi
XIA Zhilun
SUN Hui
HU Zuchang
ZHU Konghui
Abstract：Objective To explore the relationship between systemic immune-inflammation index(SII)and post-stroke infection as well as prognosis in patients with acute cerebral infarction(ACI).Methods A total of 150 patients with ACI admitted to Xinyang Central Hospital from July 2023 to October 2024 were retrospectively selected.According to the prognosis,they were divided into a poor prognosis group(n=42)and a good prognosis group(n=108).According to the occurrence of infection,they were further classified into an infection group(n=46)and a non-infection group(n=104).General clinical data and SII levels were compared between the two groups.Univariate analysis and binary logistic regression analysis models were used to screen for prognostic influencing factors.The performance of SII in predicting infection and prognosis was evaluated using receiver operating characteristic(ROC)curve analysis.Results Among the 150 ACI patients,46 developed infections,resulting in an incidence rate of 30.67%.The SII was higher in patients with infection[(703.56±182.14)×109/L]than in those without infection[(395.27±106.91)×109/L;t=12.962,P<0.05].Similarly,the SII was significantly higher in the poor prognosis group[(735.15±196.37)×109/L]compared to the good prognosis group[(394.63±104.16)×109/L;t=13.758,P<0.05].Compared to the good prognosis group,the poor prognosis group had significantly higher age(t=2.835),National Institutes of Health Stroke Scale(NIHSS)scores(t=10.164),and a higher proportion of patients with infection(χ2=9.907,P<0.05).Binary logistic regression analysis indentified NIHSS score(OR=1.408,95%CI:1.102-1.799),infection(OR=9.440,95%CI:2.171-41.059),and SII(OR=1.047,95%CI:1.015-1.080)as independent risk factors for poor prognosis in ACI patients(P<0.001).ROC curve analysis showed that the area under the curve(AUC)for SII in predicting post-ACI infection was 0.895(95%CI:0.934-0.939),with an optimal cutoff value of 538.46×109/L,yielding a sensitivity of 76.09%and a specificity of 91.35%.The AUC for SII in predicting poor prognosis after ACI was 0.980(95%CI:0.942-0.996),with an optimal cutoff value of 554.20×109/L,yielding a sensitivity of 88.10%and a specificity of 97.22%.Conclusions Patients with post-ACI infection or poor prognosis exhibit elevated SII.The SII demonstrates considerable predictive value for both post-stroke infection and prognosis in ACI patients.
Keywords：acute cerebral infarctionsystemic immune-inflammation indexinfectionprognosispredictionrisk factor
Publication Date：2025-12-28
Online Publishing Date：2026-02-02(First online date of this platform, not the publication date of the document)
Pages：5( 418-422 )