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解读全身炎症反应指数与脊柱骨密度之间的阈值及分段非线性关联:来自一项大规模人群研究的见解

Deciphering the Threshold and Segmented Nonlinear Association Between Systemic Inflammation Response Index and Spinal Bone Density: Insights From a Large-Scale Population Study.

作者信息

Mardan Muradil, Lu Ze-Yu, Xu Qing-Yin, Song Shao-Kuan, Zheng Huo-Liang, Deng Hui, Cai Hao, Chen Qi-Zhu, Chen Peng-Bo, Li Bo, Jiang Sheng-Dan, Jiang Lei-Sheng, Zheng Xin-Feng

机构信息

Spine Center, Xinhua Hospital Affiliated to Shanghai Jiaotong University School of Medicine, Shanghai, China.

出版信息

Global Spine J. 2025 May 21:21925682251344593. doi: 10.1177/21925682251344593.

Abstract

Study DesignCross-sectional study.ObjectiveTo examine the association between SIRI and spinal BMD and assess the influence of age, hypertension, and diabetes.MethodsWe analyzed data from 13,950 participants aged ≥20 years. SIRI was calculated using neutrophil, monocyte, and lymphocyte counts, and spinal BMD was measured by DXA. Linear regression, generalized additive models, and segmented regression were used, with subgroup analyses based on age, hypertension, and diabetes.ResultsA threshold effect was observed at SIRI = 0.68. Below this threshold, SIRI negatively correlated with spinal BMD (β = -0.0412, = 0.0494), while above it, a positive correlation was found (β = 0.0079, < 0.0001). Subgroup analyses showed stronger positive associations in older adults (≥65 years, β = 0.0136, < 0.0001), and those with hypertension (β = 0.0089, = 0.0004) and diabetes (β = 0.0187, < 0.001).ConclusionA segmented nonlinear relationship exists between SIRI and spinal BMD, with age, hypertension, and diabetes as significant modifiers. SIRI may serve as a biomarker for osteoporosis risk.

摘要

研究设计

横断面研究。

目的

研究系统性免疫炎症指数(SIRI)与脊柱骨密度(BMD)之间的关联,并评估年龄、高血压和糖尿病的影响。

方法

我们分析了13950名年龄≥20岁参与者的数据。SIRI通过中性粒细胞、单核细胞和淋巴细胞计数计算得出,脊柱BMD通过双能X线吸收法(DXA)测量。采用线性回归、广义相加模型和分段回归,并基于年龄、高血压和糖尿病进行亚组分析。

结果

在SIRI = 0.68时观察到阈值效应。低于该阈值时,SIRI与脊柱BMD呈负相关(β = -0.0412,P = 0.0494),而高于该阈值时,则呈正相关(β = 0.0079,P < 0.0001)。亚组分析显示,在老年人(≥65岁,β = 0.0136,P < 0.0001)、高血压患者(β = 0.0089,P = 0.0004)和糖尿病患者(β = 0.0187,P < 0.001)中,正相关性更强。

结论

SIRI与脊柱BMD之间存在分段非线性关系,年龄、高血压和糖尿病是显著的调节因素。SIRI可能作为骨质疏松症风险的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2e4/12095258/78be13906e8d/10.1177_21925682251344593-fig1.jpg

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