Abstract
BackgroundThe systemic inflammatory response index (SIRI) is a recently developed composite index that assesses the entire extent of inflammation in the body, closely linked to heart failure (HF). This study aimed to evaluate the potential association between SIRI and HF. MethodsThe cross-sectional study utilized data from the National Health and Nutrition Examination Survey (NHANES) database from 2001 to 2018. SIRI is calculated based on the counts of monocytes, neutrophils, and lymphocytes. A weighted multiple-variable linear regression model examined the correlation between SIRI and HF. Using restrained cubic splines explored the nonlinear relationship between the two, and the robustness of the results was verified by subgroup analysis and interaction tests. ResultsOur study included 30,294 participants, 814 of whom were diagnosed with HF and 29,480 with non-HF. The multiple linear regression analysis showed that SIRI was positively correlated with HF (OR = 1.66; 95 % CI, 1.21, 2.29) and that there was no nonlinear relationship between the two. This relationship persisted in subgroup analyses. ConclusionsThe results indicate a linear positive correlation between SIRI and HF. Further extensive prospective studies are needed to validate these findings.
Published Version
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