从全血细胞计和冠状动脉化得出的炎症指数之间的关联
1Department of Cardiovascular Medicine, Center for Circadian Metabolism and Cardiovascular Disease, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, People's Republic of China.
Journal of inflammation research
|March 19, 2025
概括
某些血清炎症标志物,包括中性粒细胞与淋巴细胞比率 (NLR) 和全身炎症反应指数 (SIRI),与冠状动脉化 (CAC) 有关. 单细胞与淋巴细胞比率 (MLR) 也显示了与CAC的非线性关联.
科学领域:
- 心脏病学 心脏病学
- 炎症研究 炎症研究
- 血液学 血液学 血液学
背景情况:
- 炎症是冠状动脉化 (CAC) 发展的关键因素.
- 完全血清 (CBC) 衍生的炎症指数可以预测CAC.
- 这项研究调查了各种炎症指数和CAC之间的关联.
研究的目的:
- 探索CBC衍生的炎症指数和CAC之间的关系.
- 确定与CAC.的存在和严重程度相关的特定指数.
- 区分线性和非线性关联.
主要方法:
- 从2143名接受心脏CT的患者系统地收集数据,用于CAC评分.
- 将患者分为CAC和非CAC组.
- 多变量逻辑回归,平滑曲线拟合和值效应分析以评估关联.
主要成果:
- 总中性粒细胞与淋巴细胞的比率 (NLR),中性粒细胞与淋巴细胞的比率 (NMLR),全身炎症反应指数 (SIRI) 和全身炎症总指数 (AISI) 与 CAC 有积极的关联.
- 单细胞与淋巴细胞的比率 (MLR) 显示出与CAC的非线性关系 (值为0.236).
- 系统性免疫炎症指数 (SII),血小板与淋巴细胞比率 (PLR) 和衍生性中性粒细胞与淋巴细胞比率 (dNLR) 没有显著的关联.
结论:
- NLR,NMLR,SIRI和AISI与CAC线性相关.
- MLR与CAC.有非线性关联.
- SII,PLR和dNLR与CAC没有显著的关联,这表明它们在预测CAC方面的作用有限.
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