Department of Operating Room, Wujin Hospital Affiliated to Jiangsu University (Wujin People's Hospital), Changzhou, Jiangsu, China.
Department of Nursing, Wujin Hospital Affiliated to Jiangsu University (Wujin People's Hospital), Changzhou, Jiangsu, China.
Immun Inflamm Dis. 2023 Aug;11(8):e992. doi: 10.1002/iid3.992.
As one of novel inflammatory indexes proposed in recent years, systemic immune-inflammation index (SII) can comprehensively reflect the inflammatory and immune state of the body. This study aims to explore the relationship between SII and osteoporosis among middle-aged and older people.
Our study includes 20,497 individuals from National Health and Nutrition Examination Survey (NHANES) 2005-2008, and target study population are confined to people aged 45 years and above. SII is calculated as platelet count × neutrophil count/lymphocyte count. Multivariate logistic regression analysis is used to explore the link between SII and osteoporosis, and receiver operating characteristics curve is used to screen optimal cut-off value of SII for indicating the occurrence of osteoporosis.
A total of 435 people with osteoporosis are screened among 4625 middle-aged and older people, and individuals in osteoporosis group have higher SII than those in nonosteoporosis group (p = .024). Logistic regression analysis indicates that with the enhancement of SII, prevalence of osteoporosis in each tertile category also increases (p < .001). This tendency is also not changed in univariate model (p < .001), as well as the adjustments for different parameters. Moreover, we also identify that SII of 530.09 is the optimal cut-off value for indicating the occurrence of osteoporosis among middle-aged and older people.
This present NHANES-based study noticed that higher SII is positively linked to osteoporosis among middle-aged and older people, and SII should not exceed 530.09 for them to obtain a potentially lower risk of osteoporosis.
作为近年来提出的新型炎症指标之一，全身免疫炎症指数（SII）能够全面反映机体的炎症和免疫状态。本研究旨在探讨 SII 与中老年人骨质疏松症之间的关系。
本研究纳入了来自 2005-2008 年全国健康与营养调查（NHANES）的 20497 名个体，且目标研究人群仅限于年龄在 45 岁及以上的人群。SII 计算方法为血小板计数×中性粒细胞计数/淋巴细胞计数。采用多变量 logistic 回归分析探讨 SII 与骨质疏松症之间的联系，并采用受试者工作特征曲线筛选 SII 预测骨质疏松症发生的最佳截断值。
在 4625 名中老年人中筛选出 435 名骨质疏松症患者，骨质疏松症组的 SII 高于非骨质疏松症组（p=0.024）。logistic 回归分析表明，随着 SII 的升高，各三分位组骨质疏松症的患病率也随之增加（p<0.001）。这种趋势在单变量模型（p<0.001）中以及针对不同参数的调整后仍然存在。此外，我们还发现，SII 为 530.09 时是预测中老年人发生骨质疏松症的最佳截断值。
本基于 NHANES 的研究表明，较高的 SII 与中老年人骨质疏松症呈正相关，对于中老年人而言，SII 不应超过 530.09，以降低骨质疏松症的潜在风险。
Zotero 插件