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Updated: Jun 10, 2025

Intravenous Endotoxin Challenge in Healthy Humans: An Experimental Platform to Investigate and Modulate Systemic Inflammation
Published on: May 16, 2016
Systemic immune inflammation index with all-cause and cause-specific mortality: a meta-analysis
Wei Li1, Xiaoning Wang2, Houze Diao1
1Department of Nutrition and Food Hygiene, School of Public Health, Jilin University, No. 1163, Xinmin Street, Changchun, China.
The Systemic Immune Inflammation Index (SII) is linked to higher risks of all-cause and cardiovascular disease mortality. Further research is needed to confirm these associations.
Area of Science:
- Immunology
- Epidemiology
- Public Health
Background:
- Inconsistent findings exist regarding the association between the Systemic Immune Inflammation Index (SII) and mortality.
- Understanding this relationship is crucial for public health and clinical practice.
Purpose of the Study:
- To investigate the association between SII and the risk of all-cause mortality.
- To explore the link between SII and cause-specific mortality, including cardiovascular disease (CVD) and cancer.
Main Methods:
- A comprehensive meta-analysis was performed, including literature searches of PubMed, Embase, Cochrane, and Web of Science up to March 1, 2024.
- Subgroup analyses and dose-response assessments were conducted to refine the understanding of mortality risk factors.
- The analysis included 33 articles comprising 427,819 participants.
Main Results:
- The meta-analysis found that a higher SII was significantly associated with an increased risk of all-cause mortality (HR=1.45, 95% CI [1.36, 1.54]).
- SII was also linked to a higher risk of CVD mortality (HR=1.44, 95% CI [1.29, 1.60]).
- A 100-unit increase in SII correlated with a 5% increase in all-cause mortality risk and a 6% increase in CVD mortality risk. No significant association was found with cancer mortality.
Conclusions:
- The Systemic Immune Inflammation Index (SII) is associated with increased all-cause and CVD mortality.
- Further basic research and data are required to validate these findings and elucidate the underlying mechanisms.
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