摘要
目的:系统性免疫炎症指数(SII)是一项能够反映人体炎症和免疫状态的指标,本研究旨在探讨系统性免疫炎症指数与骨密度(BMD)的相关性,以及将系统性免疫炎症指数应用于骨质疏松症诊断的可行性.方法:回顾性分析2023年1月至2023年10月进行血常规检查及骨密度检查,并且符合纳入标准的272名患者,采集患者血小板计数、中性粒细胞计数及淋巴细胞计数,计算出系统性免疫炎症指数,并根据患者的骨密度T值分为骨质疏松症组和非骨质疏松症组.采用二元Logistic回归分析探讨系统性免疫炎症指数与骨质疏松症的关系,采用Spearman等级相关分析探讨系统性免疫炎症指数与骨密度的关系,采用受试者工作特征(ROC)曲线分析系统性免疫炎症指数诊断骨质疏松症的能力及诊断最佳临界值.结果:系统性免疫炎症指数与骨质疏松症的发生显著相关,差异有统计学意义(P＜0.001),骨质疏松症患者的系统性免疫炎症指数显著高于非骨质疏松症患者,差异有统计学意义(P＜0.001);系统性免疫炎症指数与骨密度显著相关,差异有统计学意义(Li～L5,r=0.425,P＜0.001;股骨颈,r=0.363,P＜0.001);受试者工作特征曲线分析表明系统性免疫炎症指数对骨质疏松症的诊断具有中等准确性(曲线下面积为0.787);此外,系统性免疫炎症指数预测骨质疏松症风险的最佳临界值为613.03.结论:在50岁以上人群中,系统性免疫炎症指数值与骨密度呈负相关,当系统性免疫炎症指数值高于613.03时,患者有较高风险患骨质疏松症.
Abstract
Objective:Systemic immune-inflammation index can reflect the inflammatory and immune state of the body.This study aims to explore the correlation between systemic immune-inflammation index(SII)and bone mineral density(BMD),and if this index can be used to diagnose osteoporosis.Methods:272 patients with blood routine examination and BMD measurement from January 2023 to October 2023 were prospectively analyzed.Platelet counts,neutrophil counts,and lymphocyte counts were collected to calculate SII.Bi-nary logistic regression and receiver operating characteristic(ROC)curve analysis was used to analysis the correlation between SII and osteoporosis and the optimal cut-off value.Spearman grade correlation was used to explore the link between BMD and SII.Results:SII is significantly related to the osteoporosis(P＜0.001).The SII of patients with osteoporosis was significantly higher than that of pa-tients without osteoporosis(P＜0.001).SII is significantly related to BMD(L1-L5,r=0.425,P＜0.001;femora neck,r=0.363,P＜0.001).ROC curve showed the diagnostic accuracy(area under curve(AUC)-0.787)and the optimal cut-off value(613.03).Conclusion:SII shows a negative correlation with BMD in people over 50 years old.Patients have a higher risk of osteopo rosis when SII is higher than 613.03.
国家科技期刊平台
NSTL
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