OBJECTIVE

The study aimed to explore the relationship between systemic inflammatory response index (SIRI) levels and osteoarthritis (OA) using cross-sectional data from the National Health and Nutrition Examination Survey (NHANES) database from 2005 to 2018.

METHODS

Using cross-sectional data from the NHANES database from 2005 to 2018, we included 11,381 study participants divided into OA ( = 1,437) and non-OA ( = 9,944) groups. Weighted multivariable regression models and subgroup analyses were employed to investigate the relationship between SIRI and OA. Additionally, restricted cubic spline models were used to explore nonlinear relationships.

RESULTS

This study enrolled 11,381 participants aged ≥20 years, including 1,437 (14%) with OA. Weighted multivariable regression analysis in the fully adjusted Model 3 indicated a correlation between higher levels of SIRI (log-transformed) and an increased OA risk (odds ratio: 1.150; 95% confidence interval: 1.000-1.323,  < 0.05). Interaction tests showed that the variables did not significantly affect this correlation ( for interaction all >0.05). Additionally, a restricted cubic spline model revealed a nonlinear relationship between log(SIRI) and OA risk, with a threshold effect showing 4.757 as the critical value of SIRI. SIRI <4.757 showed almost unchanged OA risk, whereas SIRI >4.757 showed rapidly increasing OA risk.

CONCLUSION

The positive correlation between SIRI and OA risk, with a critical value of 4.757, holds clinical value in practical applications. Additionally, our study indicates that SIRI is a novel, clinically valuable, and convenient inflammatory biomarker that can be used to predict OA risk in adults.