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中华临床实验室管理电子杂志 ›› 2025, Vol. 13 ›› Issue (03) : 159 -165. doi: 10.3877/cma.j.issn.2095-5820.2025.03.005

实验研究

2型糖尿病患者全血细胞计数衍生的炎症指数与下肢动脉粥样硬化病变的关系
操龙斌1, 卢远思2,(), 邱欣1, 叶琪1   
  1. 1 528244 广东 佛山,南方医科大学第七附属医院医学检验科
    2 528244 广东 佛山,佛山市南海区里水镇社区卫生服务中心护理部
  • 收稿日期:2024-05-07 出版日期:2025-08-28
  • 通信作者: 卢远思
  • 基金资助:
    广东省自然科学基金面上项目(2023A1515011439); 广东省中医药局科研项目(20241218); 佛山市卫生健康局医学科研课题(20240005)

Association between complete blood count-derived inflammatory indices and lower extremity atherosclerotic lesions in patients with type 2 diabetes mellitus

Longbin Cao1, Yuansi Lu2,(), Xin Qiu1, Qi Ye1   

  1. 1 Department of Clinical Laboratory, the Seventh Affiliated Hospital of Southern Medical University, Foshan Guangdong 528244, China
    2 Nursing Department, Community Health Service Center of Lishui Town, Foshan Guangdong 528244, China
  • Received:2024-05-07 Published:2025-08-28
  • Corresponding author: Yuansi Lu
引用本文:

操龙斌, 卢远思, 邱欣, 叶琪. 2型糖尿病患者全血细胞计数衍生的炎症指数与下肢动脉粥样硬化病变的关系[J/OL]. 中华临床实验室管理电子杂志, 2025, 13(03): 159-165.

Longbin Cao, Yuansi Lu, Xin Qiu, Qi Ye. Association between complete blood count-derived inflammatory indices and lower extremity atherosclerotic lesions in patients with type 2 diabetes mellitus[J/OL]. Chinese Journal of Clinical Laboratory Management(Electronic Edition), 2025, 13(03): 159-165.

目的

探讨2型糖尿病(T2DM)患者全血细胞计数衍生的炎症指数与下肢动脉粥样硬化性病变(LEAD)的关系。

方法

选择单纯T2DM患者227例(T2DM组),T2DM并发LEAD患者127例(T2DM+LEAD组),同时选取100例健康体检者作为对照组,对其确诊时的横断面资料进行分析。收集一般临床资料,测定WBC、中性粒细胞(NEU)、淋巴细胞(LYM)、单核细胞(MON)及PLT绝对计数,计算全身免疫炎症指数(SII)、NEU与LYM比值(NLR)、衍生NLR比值(d-NLR)、 PLT与LYM比值(PLR)、LYM与MON比值(LMR)、NEU与MON比值(NMR)相关指标,统计分析这些炎症指数与T2DM以及T2DM+LEAD 患者的相关性。

结果

T2DM+LEAD组的SII、NLR、d-NLR及 PLR数值高于T2DM组,差异有统计学意义(P<0.05),T2DM+LEAD组的LMR低于T2DM组,差异有统计学意义(P<0.05)。多元回归分析显示年龄(β=0.124,OR=1.132,P<0.001)、SII(β=0.004,OR=1.004,P<0.001)、NLR(β=0.426,OR=1.531,P=0.027)、PLR(β=0.003,OR=1.003,P=0.032)均为T2DM患者发生LEAD的独立危险因素。SII的受试者工作特征(ROC)曲线下面积是0.749(95%CI=0.700~0.793);NLR的ROC曲线下面积是0.682(95%CI=0.631~0.731)。

结论

SII可能是T2DM患者LEAD的重要危险因素,具有一定预测效能。

Objective

To investigate the relationship between complete blood count-derived inflammatory indices and lower extremity atherosclerotic disease (LEAD) in patients with type 2 diabetes mellitus (T2DM).

Methods

This cross-sectional study enrolled 227 T2DM patients without LEAD (T2DM group), 127 T2DM patients with LEAD (T2DM+LEAD group), and 100 healthy controls. Demographic and clinical data were collected. Absolute counts of WBC, neutrophils, lymphocytes, monocytes, and PLT were measured. Inflammatory indices including systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), derived NLR (d-NLR), platelet-to-lymphocyte ratio (PLR), lymphocyte-to-monocyte ratio (LMR), and neutrophil-to-monocyte ratio (NMR) were calculated. Statistical analyses were performed to evaluate the associations between these indices and T2DM and T2DM-LEAD patients.

Results

Compared with the T2DM group, the T2DM+LEAD group exhibited significantly higher SII, NLR, d-NLR, and PLR values (all P<0.05), while LMR was significantly lower (P<0.05). Multivariate regression analysis identified age (β=0.124, OR=1.132, P<0.001), SII (β=0.004, OR=1.004, P<0.001), NLR (β=0.426, OR=1.531, P=0.027), and PLR (β=0.003, OR=1.003, P=0.032) as independent risk factors for LEAD in T2DM patients. Receiver operating characteristic (ROC) curve analysis revealed an area under the curve of 0.749 (95% CI: 0.700~0.793) for SII and 0.682 (95% CI: 0.631~0.731) for NLR.

Conclusion

The SII may serve as a significant biomarker for predicting LEAD in T2DM patients, demonstrating moderate predictive efficacy.

表1 各炎症指数计算公式7
表2 各组一般资料比较
表3 各组炎症指数的比较/MQ1Q3
表4 LEAD影响因素的logistic回归分析
图1 SII、NLR、d-NLR、PLR、LMR预测T2DM并发LEAD的ROC曲线
表5 炎症指数对T2DM并发LEAD的预测价值
图2 SII、NLR联合预测T2DM并发LEAD的ROC曲线
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