Chen Xiao-Jun, Liao Shu-Fen, Ouyang Qiu-Yi, Wang Ping, Huang Gui-Lan, Zeng Shu-Yan, Guo Qin, Li Jin-Yan, Shen Yang-Xi, Li Na, Huang Liu-Fang, Gong Feng-Qiu
Department of Operating Room, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, 510080, P. R. China.
Department of Anesthesiology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, 510080, P. R. China.
BMC Musculoskelet Disord. 2025 May 29;26(1):529. doi: 10.1186/s12891-025-08792-9.
Osteoarthritis (OA) is a degenerative and inflammatory joint disease caused by multiple factors, the underlying mechanisms of which are not fully understood. The systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) are both novel biomarkers and predictors of inflammation. Thus, this study aimed to evaluate the relationship between SII, SIRI and OA in adult.
The ultimate goal is to gain a deeper understanding of how SII, SIRI influences OA and the implications of this relationship.
We analyzed data from 7204 participants aged 20 and older from the NHANES surveys conducted in 1999-2020, all of whom provided comprehensive data for this study. Standardized surveys assessed the presence of osteoarthritis and SII, SIRI. To thoroughly understand their relationship, we employed statistical techniques including multivariable logistic regression, stratified analysis with interaction, restricted cubic splines (RCS), and threshold effect analysis.
A total of 7204 adult participants were enrolled, composing of 2830 (39.3%) male and 4374 (60.7%) female with a median age of 62.2 ± 13.9 years, 2955 (41.0%) were diagnosed with OA. Accordingly, A linear relationship between SII and OA was discovered after adjusting for underlying confounders, (p > 0.05) in RCS, and the association between the SIRI and OA exhibited a nonlinear relationship (p = 0. 042) in RCS. In the threshold analysis, the OR of developing OA was 1.648 (95% CI: 1.144 ~ 2.374, p < 0.05) in participants with SIRI of < 0.99 10 cells/ml. There was no significantly association between the SIRI and OA when the SIRI was ≥ 0.99 10 cells/ml. Further sensitivity analyses provided confidence that the results are robust and not likely to be substantially influenced by unmeasured confounding factors.
This cross-sectional study demonstrated that a linear relationship between SII and OA, and the association between the SIRI and OA was found to be nonlinear.
Not applicable.
骨关节炎（OA）是一种由多种因素引起的退行性炎症性关节疾病，其潜在机制尚未完全明确。全身免疫炎症指数（SII）和全身炎症反应指数（SIRI）都是新型生物标志物和炎症预测指标。因此，本研究旨在评估成年人中SII、SIRI与OA之间的关系。
最终目标是更深入地了解SII、SIRI如何影响OA以及这种关系的意义。
我们分析了1999 - 2020年进行的美国国家健康与营养检查调查（NHANES）中7204名20岁及以上参与者的数据，所有参与者均为本研究提供了全面数据。标准化调查评估了骨关节炎的存在情况以及SII、SIRI。为全面了解它们之间的关系，我们采用了包括多变量逻辑回归、交互作用分层分析、受限立方样条（RCS）和阈值效应分析在内的统计技术。
共纳入7204名成年参与者，其中男性2830名（39.3%），女性4374名（60.7%），中位年龄为62.2±13.9岁，2955名（41.0%）被诊断为OA。相应地，在调整潜在混杂因素后，发现SII与OA之间存在线性关系（RCS中p>0.05），而SIRI与OA之间的关联在RCS中呈现非线性关系（p = 0.042）。在阈值分析中，SIRI<0.99×10⁹细胞/ml的参与者发生OA的比值比为1.648（95%CI：1.144~2.374，p<0.05）。当SIRI≥0.99×10⁹细胞/ml时，SIRI与OA之间无显著关联。进一步的敏感性分析表明结果具有稳健性，不太可能受到未测量的混杂因素的实质性影响。
这项横断面研究表明SII与OA之间存在线性关系，且发现SIRI与OA之间的关联为非线性关系。
不适用。
