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Association between systemic immune-inflammation index and all-cause mortality in ischemic stroke patients
Junmou Li1, Zhenwei Wang2, Xuerong Sun1
1Department of Rehabilitation Medicine, Dandong Central Hospital, China Medical University, Dandong, Liaoning, China.
Insights
The systemic immune-inflammation index (SII) is linked to a higher risk of death in ischemic stroke patients. Higher SII levels indicate a significantly increased risk of all-cause mortality in this population.
Area of Science:
- Cardiovascular Research
- Immunology
- Stroke Medicine
Background:
- Ischemic stroke (IS) poses a significant global health burden.
- Identifying reliable prognostic markers for IS patients is crucial for risk stratification and management.
- The systemic immune-inflammation index (SII) reflects the balance between pro-inflammatory and anti-inflammatory cells.
Purpose of the Study:
- To investigate the association between the systemic immune-inflammation index (SII) and all-cause mortality in patients with ischemic stroke (IS).
- To evaluate the predictive value of SII for mortality in IS patients.
- To compare the predictive performance of SII with other inflammatory markers.
Main Methods:
- A retrospective cohort study of 1,156 IS patients.
- Calculation of SII using the formula: (neutrophil count × platelet count)/lymphocyte count.
- Multivariate Cox regression, subgroup and sensitivity analyses, ROC curve, and Kaplan-Meier survival analysis were employed.
Main Results:
- An elevated SII was significantly associated with increased all-cause mortality risk in IS patients (HR=1.172 per SD increase).
- High SII group demonstrated 1.543 times higher risk of all-cause mortality compared to the low SII group.
- SII showed predictive value for mortality (AUC=0.605), outperforming PLR and MHR, and improved when combined with NIHSS and mRS scores (AUC=0.683).
Conclusions:
- Higher systemic immune-inflammation index (SII) levels are significantly associated with an increased risk of all-cause mortality in patients with ischemic stroke.
- SII serves as a valuable prognostic biomarker for predicting mortality in IS patients.
- The combination of SII with clinical scores may enhance mortality prediction in IS.
Objectives:
This study is designed to assess the association between the systemic immune-inflammation index (SII) and all-cause mortality among patients with ischemic stroke (IS).
Methods:
A single-center retrospective cohort study was conducted, including 1,156 IS patients discharged from Dandong Central Hospital from January to December 2024. The formula for SII is as follows: SII = (neutrophil count × platelet count)/lymphocyte count. Multivariate Cox regression model, subgroup analysis, sensitivity analysis, receiver operating characteristic (ROC) curve, and Kaplan-Meier survival analysis were used to evaluate the association between SII and all-cause mortality.
Results:
During the median follow-up period of 14.23 months, a total of 97 (8.4%) patients with all-cause mortality were identified. Multivariate Cox regression analysis showed that after adjusting for a variety of confounding factors, for every one-standard-deviation increase in SII, the risk of all-cause mortality increased by 17.2% [hazard ratio (HR) = 1.172, 95% confidence interval (CI): 1.019-1.348, p = 0.026]. Moreover, the risk of all-cause mortality in the high SII group was 1.543 times that of the low SII group (HR = 1.543, 95% CI: 1.017-2.340, p = 0.041). Multiple subgroup analyses and sensitivity analyses reverified the stability of these results. ROC curve analysis indicated that SII had a certain predictive value for all-cause mortality (overall population, AUC = 0.605; male, AUC = 0.609; female, AUC = 0.600), and the predictive value of SII was higher than that of platelet-to-lymphocyte ratio (PLR) and monocyte to high-density lipoprotein cholesterol ratio (MHR) (overall population, AUC of PLR = 0.579; AUC of MHR = 0.487). Furthermore, SII combined with NIHSS score and mRS score could improve its predictive value for all-cause mortality in patients with IS (overall population, AUC = 0.683). The Kaplan-Meier survival curve analysis revealed significant differences in the cumulative risk of all-cause mortality among different SII groups, and the cumulative risk of all-cause mortality was higher in the high SII group (p < 0.05).
Conclusion:
Higher levels of SII were found to be significantly associated with an elevated risk of all-cause mortality in IS patients.
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