Association between multiple inflammatory indices and gout: a cross-sectional study based on clinical and NHANES data.

INTRODUCTION

Gout has placed a significant burden on healthcare expenditures and society in recent decades. The systemic immune-inflammation index (SII) and systemic inflammatory response index (SIRI) have been used as new non-specific inflammatory markers. This study aims to investigate the possible association between these markers and gout.

MATERIAL AND

METHODS

Gout patients and non-gout participants were recruited from our hospital and the 2007-2016 National Health and Nutrition Examination Survey (NHANES) database. The differences in clinical data, SII, and SIRI between the two groups were compared. Logistic regression analysis was used to examine the relationship between each variable and the occurrence of gout. After adjusting for confounding factors, the relationship between multiple inflammatory indices and gout risk was further evaluated and visualized by the restricted cubic spline (RCS) model.

RESULTS

There were significant differences in gender, age, education level, body mass index, smoking status, alcohol consumption, hypertension, and diabetes between gout patients and healthy controls (p < 0.05). Male patients, older age, married, low education level, smoking, drinking, diabetes, high neutrophil count, high monocyte count, high platelet count, and high Systemic Immune-Inflammation Index (SII) and Systemic Inflammation Response Index (SIRI) index are risk factors for gout. Spearman correlation analysis revealed that lymphocyte count and platelet count were negatively correlated with serum uric acid levels, whereas neutrophil count, monocyte count, and SIRI index were positively correlated with serum uric acid levels. The results were further validated through analysis of the NHANES database.

CONCLUSIONS

Our findings suggest that SII and SIRI are positively correlated with a high risk of gout and can be used as novel inflammatory markers for gout.