Association between systemic immune-inflammation index and the risk of all-cause, cancer and non-cancer mortality in the general population: results from national health and nutrition examination survey 2005–2018

作者：Siyu Wu, Zhao Liu, Xing Li, Shan Gao, Peng Xia · 发表于：BMC Public Health · 年份：2025 · DOI：10.1186/s12889-025-21423-1 · 被引用次数：11 · 研究领域：Inflammatory Biomarkers in Disease Prognosis、Adipokines, Inflammation, and Metabolic Diseases、Cancer Immunotherapy and Biomarkers

BACKGROUND: Inflammation plays an important role in the progression of cancer and other diseases, such as diabetes and cardiovascular and cerebrovascular diseases. The systemic immune-inflammation index (SII) was recognized as an objective biomarker reflecting immunoinflammatory status. This study aimed to identify the association between SII with all-cause, cancer and non-cancer mortality among general population in the United States. METHODS: 25,955 participants (≥ 20 years) were included from 2005 to 2018 National Health and Nutrition Examination Survey (NHANES) and were divided into four groups according to the SII quartiles. Weighted multivariate Cox regression was used to assess the correlation between SII and mortality. Subgroup analyses were conducted to identify the effects of other covariates on the relationship between SII and mortality. A restricted cubic spline (RCS) model was subsequently used to explore the dose-response relationship between SII and mortality. Survival analysis was assessed using Kaplan-Meier method. RESULTS: In fully adjusted model, the adjusted hazard ratio (aHR) and 95% confidence intervals (CIs) of individuals in Q4 were 1.24 (1.09, 1.41) for all-cause mortality and 1.41 (1.23, 1.63) for non-cancer mortality compared with Q1. Besides, the aHR and 95% CIs in Q2 of SII were 0.70 (0.50, 0.99) and in Q3 were 0.68 (0.52, 0.87) compared with Q1 for cancer mortality. In RCS analysis, non-linear relationships of J-shaped curves were observed in the...