He Qiang, Wang Zhen, Mei Jie, Xie Chengxin, Sun Xin
Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing, China.
Affiliated Hospital of Shandong University of Chinese Medicine, Jinan, China.
Front Med (Lausanne). 2024 Aug 14;11:1433846. doi: 10.3389/fmed.2024.1433846. eCollection 2024.
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.
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.
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.
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.
本研究旨在利用2005年至2018年美国国家健康与营养检查调查（NHANES）数据库中的横断面数据，探讨全身炎症反应指数（SIRI）水平与骨关节炎（OA）之间的关系。
利用2005年至2018年NHANES数据库中的横断面数据，我们纳入了11381名研究参与者，分为OA组（n = 1437）和非OA组（n = 9944）。采用加权多变量回归模型和亚组分析来研究SIRI与OA之间的关系。此外，使用受限立方样条模型来探索非线性关系。
本研究纳入了11381名年龄≥20岁的参与者，其中1437名（14%）患有OA。在完全调整的模型3中进行的加权多变量回归分析表明，较高水平的SIRI（对数转换）与OA风险增加之间存在相关性（优势比：1.150；95%置信区间：1.000 - 1.323，P < 0.05）。交互作用检验表明，这些变量并未显著影响这种相关性（交互作用的P值均>0.05）。此外，受限立方样条模型显示log(SIRI)与OA风险之间存在非线性关系，阈值效应显示SIRI的临界值为4.757。SIRI < 4.757时，OA风险几乎不变，而SIRI > 4.
