Chang Wang, Li Xinyue, Ma Yingjuan, Bai Ting, Jia Limin
Department of Endocrinology, The Third Clinical Medical College of Ningxia Medical University, Yinchuan City, Ningxia Hui Autonomous Region, 750002, People's Republic of China.
Department of Endocrinology, People's Hospital of Ningxia Hui Autonomous Region, Ningxia Medical University, Yinchuan City, Ningxia Hui Autonomous Region, 750002, People's Republic of China.
Diabetes Metab Syndr Obes. 2025 Aug 25;18:3075-3088. doi: 10.2147/DMSO.S534724. eCollection 2025.
Investigate the correlation between chronic inflammatory indicators and DPN in hospitalized elderly patients with Type 2 diabetes mellitus (T2DM), and to build a prediction model to provide scientific basis for early identification of high-risk groups.
Clinical data of 270 elderly T2DM patients hospitalized in the People's Hospital of Ningxia Hui Autonomous Region from January 2021 to December 2024 were selected and classified into a diabetic peripheral neuropathy group (DPN, n=163) and a non-diabetic peripheral neuropathy group (NDPN, n=107) depending on the presence of DPN. Clinical features, biochemical indicators and peripheral blood inflammatory indicators (PLR, NLR, MLR, SII, SIRI) of patients were collected, and a predictive model was constructed by logistic regression analysis.
The age, duration of diabetes, retinopathy, HbA1c, fasting blood glucose (FBG) and 2hPPG in DPN group were all higher than those in nonDPN group (P<0.05). In addition, the levels of PLR, NLR, MLR, SII and SIRI in DPN group were significantly higher than those in NDPN group (P<0.05). Multivariate Logistic regression analysis showed that the duration of diabetes, accompanying retinopathy, HbA1c and NLR were independent risk factors for DPN. The area under ROC curve (AUC) of the combined predictor constructed based on these factors was 0.802, which showed good prediction efficiency.
Chronic inflammatory indicators such as PLR, NLR, MLR, SII and SIRI are closely related to elderly T2DM patients with DPN. Comprehensive evaluation of these indicators and key factors such as diabetes course can effectively predict the risk of elderly T2DM patients with DPN, which is conducive to early intervention and management, thereby improving patient prognosis. Reduce hospitalization rates and medical costs. This study provides a new perspective for understanding the role of chronic inflammation in DPN and lays the foundation for further research.
探讨住院老年2型糖尿病（T2DM）患者慢性炎症指标与糖尿病周围神经病变（DPN）的相关性，并构建预测模型，为早期识别高危人群提供科学依据。
选取2021年1月至2024年12月在宁夏回族自治区人民医院住院的270例老年T2DM患者的临床资料，根据是否存在DPN分为糖尿病周围神经病变组（DPN，n = 163）和非糖尿病周围神经病变组（NDPN，n = 107）。收集患者的临床特征、生化指标及外周血炎症指标（PLR、NLR、MLR、SII、SIRI），采用logistic回归分析构建预测模型。
DPN组患者的年龄、糖尿病病程、视网膜病变、糖化血红蛋白（HbA1c）、空腹血糖（FBG）及餐后2小时血糖（2hPPG）均高于非DPN组（P < 0.05）。此外，DPN组的PLR、NLR、MLR、SII及SIRI水平显著高于NDPN组（P < 0.05）。多因素logistic回归分析显示，糖尿病病程、伴发视网膜病变、HbA1c及NLR是DPN的独立危险因素。基于这些因素构建的联合预测指标的ROC曲线下面积（AUC）为0.802，显示出良好的预测效能。
PLR、NLR、MLR、SII及SIRI等慢性炎症指标与老年T2DM合并DPN患者密切相关。综合评估这些指标及糖尿病病程等关键因素可有效预测老年T2DM合并DPN患者的风险，有利于早期干预和管理，从而改善患者预后，降低住院率和医疗费用。本研究为理解慢性炎症在DPN中的作用提供了新视角，并为进一步研究奠定了基础。
