开发和验证使用炎症生物标志物用于糖尿病患者活跃结核病风险的预测模型
Xuan Zhang1,2, Haiyan Fu2,3, Jie Li1,2
1Cardiology Department, The 3rd People's Hospital of Kunming, Kunming, Yunnan, People's Republic of China.
Journal of inflammation research
|April 11, 2025
概括
炎症和脂质标记物如甘油三,PNR,PMR,MHR和MLR有助于识别患有活性肺结核 (PTB) 风险的糖尿病患者. 这种组合为早期检测结核病易感性提供了一种经济的方法.
科学领域:
- 医学研究 医学研究
- 传染病 传染病 传染病
- 内分泌学 在内分泌学.
背景情况:
- 糖尿病 (DM) 增加了对活性肺结核 (PTB) 的易感性.
- 在糖尿病患者中早期识别PTB风险对于及时干预至关重要.
- 炎症和脂质标志物可以提供关于DM中PTB发展的见解.
研究的目的:
- 探索在糖尿病患者中活跃肺结核炎症炎症标志物的诊断价值.
- 为了确定患有糖尿病的个体中PTB发展的危险因素.
- 开发和验证糖尿病患者PTB易感性的预测模型.
主要方法:
- 在276名糖尿病患者和276名DM和活跃PTB患者中评估了常规的临床和炎症标志物.
- 组之间的比较指标差异和影响PTB易感性的分析因素.
- 使用炎症和脂质标志物构建了一个预测模型,通过校准曲线验证.
主要成果:
- 在甘油三,白细胞,中性粒细胞,淋巴细胞,单细胞,血小板和各种炎症比率 (NLR,NHR,PLR,PNR,PMR,MHR,MLR,SII,SIRI,AISI,NMR,LMR) 中观察到显著差异.
- 甘油三,血小板与中性细胞的比率 (PNR),血小板与单细胞的比率 (PMR),单细胞与高密度脂蛋白的比率 (MHR) 和单细胞与淋巴细胞的比率 (MLR) 被确定为DM中PTB的危险因素.
- 该预测模型在DM-PTB预测方面实现了75.0%的灵敏度和81.9%的特异性.
结论:
- 甘油三,PNR,PMR,MHR和MLR是影响糖尿病患者PTB进展的关键因素.
- 结合这些指标,提供了一种经济,方便和直接的方法,用于早期识别易患结核病的糖尿病患者.
- 这种方法有助于在风险糖尿病人群中早期检测出Mycobacterium结核病感染.
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