Xue Yan, Chang Cheng, Chen Yajun, Jia Lang, Wang Han, Liu Zaoyang, Xie Jiang
Department of Pediatrics, The Third People's Hospital of Chengdu, Affiliated Hospital of Southwest Jiaotong University & The Second Affiliated Hospital of Chengdu, Chongqing Medical University, Chengdu, Sichuan, China.
Institute of Biomedical Engineering, College of Medicine, Southwest Jiaotong University, Chengdu 610031, Sichuan, China.
Osteoarthr Cartil Open. 2024 Feb 29;7(1):100453. doi: 10.1016/j.ocarto.2024.100453. eCollection 2025 Mar.
Investigate the link between systemic immune-inflammatory index (SII) and Systemic Immune Response Index (SIRI) with osteoarthritis (OA) using National Health and Nutrition Examination Survey (NHANES) data (1999-2018).
Extracted NHANES data (1999-2018) and selected a study population based on demographic, examination, and laboratory data. Calculated SII (platelet count × neutrophil count/lymphocyte count) and SIRI (neutrophil count × monocyte count/lymphocyte count). Employed multivariate logistic regression and restricted cubic spline (RCS) regression for Ln-SII, SIRI, and OA relationship investigation. Conducted subgroup analyses.
Study involved 32,144 participants (16,515 males, 15,629 females), with 12.16% having OA. Positive correlation between highest SII quartile and OA in unadjusted and adjusted model 1 (Unadjusted Model, P < 0.001; Model 1, P = 0.01). In Model 2, adjusting for all factors, positive correlation observed, not statistically significant (Model 2, P = 0.07). Similar SIRI-OA correlation trends from Unadjusted Model to Model 2 (Unadjusted Model, P < 0.0001; Model 1, P < 0.0001; Model 2, P < 0.001). Subgroup analysis found no significant factors. Identified critical point at ln-SII ≈6.39 (SII = 595.86), beyond which OA prevalence significantly increased. No potential nonlinear SIRI-OA association (NL-P value > 0.05).
When SII exceeds 595.86, OA prevalence may rise. Besides, there was a significant positive correlation between SIRI and OA prevalence. SII and SIRI may be useful markers for OA research, warranting further exploration in this area.
利用美国国家健康与营养检查调查（NHANES，1999 - 2018年）数据，研究全身免疫炎症指数（SII）和全身免疫反应指数（SIRI）与骨关节炎（OA）之间的联系。
提取NHANES（1999 - 2018年）数据，并根据人口统计学、检查和实验室数据选择研究人群。计算SII（血小板计数×中性粒细胞计数/淋巴细胞计数）和SIRI（中性粒细胞计数×单核细胞计数/淋巴细胞计数）。采用多因素逻辑回归和限制立方样条（RCS）回归研究Ln - SII、SIRI与OA的关系。进行亚组分析。
研究纳入32144名参与者（男性16515名，女性15629名），其中12.16%患有OA。在未调整模型和调整模型1中，最高SII四分位数与OA呈正相关（未调整模型，P < 0.001；模型1，P = 0.01）。在模型2中，调整所有因素后，观察到正相关，但无统计学意义（模型2，P = 0.07）。从未调整模型到模型2，SIRI与OA的相关趋势相似（未调整模型，P < 0.0001；模型1，P < 0.0001；模型2，P < 0.001）。亚组分析未发现显著因素。确定ln - SII≈6.39（SII = 595.86）为临界点，超过该点OA患病率显著增加。未发现SIRI与OA之间存在潜在的非线性关联（NL - P值> 0.05）。
当SII超过595.86时，OA患病率可能上升。此外，SIRI与OA患病率之间存在显著正相关。SII和SIRI可能是OA研究的有用标志物，值得在该领域进一步探索。
