慢性炎症指标与糖尿病周围神经病变在住院的2型糖尿病老年患者之间的关系
Wang Chang1, Xinyue Li1, Yingjuan Ma1
1Department of Endocrinology, The Third Clinical Medical College of Ningxia Medical University, Yinchuan City, Ningxia Hui Autonomous Region, 750002, People's Republic of China.
在患有2型糖尿病的老年患者中,慢性炎症标志物如NLR与糖尿病外围神经病变 (DPN) 有关. 使用这些标记的预测模型有助于早期识别和管理DPN风险.
科学领域:
- 内分泌学和新陈代谢
- 神经学
- 免疫学
背景情况:
- 糖尿病周围神经病变 (DPN) 是2型糖尿病 (T2DM) 的常见并发症.
- 患有T2DM的老年患者对DPN特别敏感,影响他们的生活质量.
- 识别DPN风险的早期指标对于及时干预至关重要.
研究的目的:
- 在住院的老年T2DM患者中研究慢性炎症指标与DPN之间的相关性.
- 开发一个预测模型,以提前识别患有DPN的高风险个体.
主要方法:
- 对270名老年T2DM患者的回顾性分析.
- 分类为DPN (n=163) 和非DPN (NDPN,n=107) 组.
- 收集临床数据和炎症标志物 (PLR,NLR,MLR,SII,SIRI);用于模型构建的后勤回归分析.
主要成果:
- DPN组显示较高的年龄,糖尿病持续时间,视网膜病变,HbA1c,FBG,2hPPG,以及炎症标志物 (PLR,NLR,MLR,SII,SIRI) (P<0. 05).
- 确定了DPN的独立风险因素:糖尿病持续时间,视网膜病变,HbA1c和NLR.
- 预测模型的AUC值为0.802,表明预测效率很好.
结论:
- 在老年T2DM患者中,慢性炎症指标 (PLR,NLR,MLR,SII,SIRI) 与DPN显著相关.
- 包括炎症标志物和糖尿病持续时间在内的综合评估有效预测了DPN风险.
- 早期预测有助于干预,改善预后,降低医疗费用.
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