天津医药 ›› 2025, Vol. 53 ›› Issue (1): 88-92.doi: 10.11958/20241148

• 临床研究 • 上一篇    下一篇

2型糖尿病男性患者系统性炎症指标与骨密度的关系

魏思澄1(), 于岁1,2,(), 于瑛1, 李华峰2, 张琪2, 唐与晓2, 王秋灵2, 于晓2   

  1. 1 滨州医学院第二临床医学院(邮编264000)
    2 青岛大学附属烟台毓璜顶医院内分泌与代谢病科
  • 收稿日期:2024-08-20 修回日期:2024-11-05 出版日期:2025-01-15 发布日期:2025-02-06
  • 通讯作者: E-mail:yusuiyhd@163.com
  • 作者简介:魏思澄(1997),女,硕士在读,主要从事内分泌与代谢病的临床研究。E-mail:2542155094@qq.com
  • 基金资助:
    山东省自然科学基金资助项目(ZR2023QH331)

Correlation between systemic inflammation markers and bone mineral density in male patients with type 2 diabetes

WEI Sicheng1(), YU Sui1,2,(), YU Ying1, LI Huafeng2, ZHANG Qi2, TANG Yuxiao2, WANG Qiuling2, YU Xiao2   

  1. 1 The Second Clinical Medical College of Binzhou Medical University, Yantai 264000, China
    2 Department of Endocrinology and Metabolic Diseases, the Affiliated Hospital of Qingdao University, Yantai Yuhuangding Hospital
  • Received:2024-08-20 Revised:2024-11-05 Published:2025-01-15 Online:2025-02-06
  • Contact: E-mail:yusuiyhd@163.com

摘要:

目的 评估2型糖尿病(T2DM)男性患者系统性炎症指标与骨密度(BMD)的关系。方法 261例男性T2DM患者依据诊断标准分为骨量正常组(96例)、骨量减少组(111例)以及骨质疏松组(54例),比较3组系统性炎症指标和骨代谢指标的差异。多因素有序Logistic回归分析男性T2DM患者骨量正常向骨质疏松进展的影响因素。受试者工作特征(ROC)曲线评价炎症指标对T2DM男性患者骨质疏松的预测价值。分析炎症指标与患者不同部位BMD及骨转换指标(BTM)的相关性。结果 骨质疏松组中血小板计数(PLT)、血小板与淋巴细胞计数比值(PLR)、全身免疫炎症指数(SII)、中性粒细胞与淋巴细胞计数比值(NLR)明显高于骨量正常组(P<0.05)。多因素有序Logistic回归分析发现PLR与SII升高为T2DM男性患者从骨量正常进展为骨质疏松过程中的危险因素。ROC曲线显示PLR预测骨量减少的曲线下面积(AUC)为0.590,截断值为96.67;SII的AUC为0.613,截断值为307.9;二者联合AUC为0.612;但两指标对预测骨质疏松方面无明显价值。在骨质疏松和骨量减少患者中,SII、PLR、PLT与腰椎L1-4 BMD及左髋关节BMD值均呈负相关(P<0.05);SII与左股骨颈BMD值也呈负相关(P<0.05)。结论 炎症指标PLR、SII对男性T2DM患者从骨量正常进展为骨量减少和骨质疏松具有一定的预测价值。

关键词: 糖尿病, 2型, 骨质疏松, 骨密度, 系统性炎症指标, 血小板与淋巴细胞计数比值, 全身免疫炎症指数, 男性

Abstract:

Objective To evaluate the relationship between systemic inflammation makers and bone mineral density (BMD) in male patients with type 2 diabetes (T2DM).Methods A total of 261 male patients with T2DM were selected and divided into three groups based on diagnostic criteria: the normal bone mass group (96 cases), the reduced bone mass group (111 cases) and the osteoporosis group (54 cases). Differences in systemic inflammation markers and bone metabolic markers were compared between the three groups. Multivariate ordered Logistic regression analysis was used to investigate factors influencing the progression from normal bone mass to osteoporosis in male patients with T2DM. Receiver operating characteristic (ROC) curves were used to evaluate the predictive value of inflammatory markers for osteoporosis in male patients with T2DM. Correlation analysis was conducted to investigate the correlation between inflammatory markers and BMD and bone turnover markers (BTM) in male patients with T2DM.Results Platelet count (PLT), platelet-to-lymphocyte ratio (PLR), systemic inflammatory index (SII) and neutrophil-to-lymphocyte ratio (NLR) were significantly higher in the osteoporosis group than those in the normal bone mass group (P<0.05). Multivariate ordered Logistic regression analysis showed that PLR and SII were risk factors for the progression from normal bone mass to osteoporosis in male patients with T2DM (P<0.05). The area under the ROC curve of PLR was 0.590, and the cut-off value was 96.67. The area under the curve of SII was 0.613, with a cut-off value of 307.9, and the area under the combined curve of the above two indicators was 0.612. In patients with osteoporosis and osteopenia, SII, PLR and PLT were negatively correlated with L1-4 BMD and left hip BMD (P<0.05). SII was also negatively correlated with left femoral neck BMD (P<0.05).Conclusion Inflammatory markers PLR and SII have predictive values for the progression from normal bone mass to bone loss and osteoporosis in male patients with T2DM.

Key words: diabetes mellitus, type 2, osteoporosis, bone density, systemic inflammation markers, PLR, SII, male

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