Yin Weicong, Li Xu, Zheng Shaowei, Lai Weiqiang, Chen Chuqun, He Xinhuan, Gong Kaiqin, He Kunrui, Hu Siyuan, Zheng Jianping, Zeng Guowei
Department of the Orthopaedic, Huizhou First People's Hospital, Guangdong Medical University, No. 20 South Sanxin Avenue, Huizhou, 516000, Guangdong, China.
Sci Rep. 2025 Mar 17;15(1):9128. doi: 10.1038/s41598-025-93378-7.
This study aimed to examine the relationships of osteoporosis with Osteoporosis indices in elderly patients, and investigate the associations of novel inflammatory markers with variations of Osteoporosis indices. Senior citizens were recruited from the National Health and Nutrition Examination Survey (NHANES). Dual-energy X-ray absorptiometry was used to detect bone mineral density tests. Osteoporosis indices and diagnosis of osteoporosis were evaluated using multivariate weighted logistic regression models. Novel inflammatory markers were calculated based on lymphocyte, neutrophil, monocyte, platelet, and albumin counts. The relationships between the Osteoporosis indices and novel inflammatory markers were evaluated with multivariate weighted logistic regression models. Totally 837 elderly patients were enrolled, including 494 men and 343 women, and their weighted average age was 68.28 ± 7.60 years. Our results indicated that the osteoporosis indices were positively correlated with the presence of osteoporosis and that these three indices measured the severity of osteoporosis. After multivariate weighted logistic regression model analysis of the novel inflammatory markers and osteoporosis index, AIRI, SIRI, and SII were significantly correlated with the osteoporosis indices. There may be a close relationship between inflammation and senile osteoporosis. The novel inflammatory markers are convenient and objective for predicting low BMD or osteoporosis risk in older patients. Among these markers, elderly patients with high levels of AISI, SIRI, and SII should focus on the risk of osteoporosis. However, this study has some limitations. It is essential to expand the sample size to a wider population to investigate the relationship between inflammation and osteoporosis.
本研究旨在探讨老年患者骨质疏松症与骨质疏松指数之间的关系,并研究新型炎症标志物与骨质疏松指数变化之间的关联。从国家健康与营养检查调查(NHANES)中招募老年人。采用双能X线吸收法检测骨密度测试。使用多变量加权逻辑回归模型评估骨质疏松指数和骨质疏松症的诊断。基于淋巴细胞、中性粒细胞、单核细胞、血小板和白蛋白计数计算新型炎症标志物。用多变量加权逻辑回归模型评估骨质疏松指数与新型炎症标志物之间的关系。共纳入837例老年患者,其中男性494例,女性343例,加权平均年龄为68.28±7.60岁。我们的结果表明,骨质疏松指数与骨质疏松症的存在呈正相关,且这三个指数可衡量骨质疏松症的严重程度。对新型炎症标志物和骨质疏松指数进行多变量加权逻辑回归模型分析后,AIRI、SIRI和SII与骨质疏松指数显著相关。炎症与老年骨质疏松症之间可能存在密切关系。新型炎症标志物对于预测老年患者低骨密度或骨质疏松风险方便且客观。在这些标志物中,AISI、SIRI和SII水平高的老年患者应关注骨质疏松风险。然而,本研究存在一些局限性。有必要将样本量扩大到更广泛的人群,以研究炎症与骨质疏松症之间的关系。