九种复合炎症标记物的比较预测值,用于在导管切除后心房的复发
Tengfei Ji1, Yide Yuan1, Mei Du1
1The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, People's Republic of China.
Journal of inflammation research
|March 13, 2026
概括
一些炎症标志物,包括系统性免疫炎症指数 (SII) 和中性粒细胞与淋巴细胞比率 (NLR),预测了导管切除 (CA) 后心房动 (AF) 的复发. 在这些标志物中,NLR显示出AF复发的最强的预测能力.
科学领域:
- 心脏病学 心脏病学
- 炎症研究 炎症研究
- 生物标志物发现发现
背景情况:
- 心房动 (AF) 复发后导管切除 (CA) 是一个重要的临床挑战.
- 慢性炎症与AF复发的病理生理学有关.
- 目前对复合炎症标志物用于预测AF复发的现有研究有限,缺乏直接的比较研究.
研究的目的:
- 调查和比较9个复合炎症标志物与AC后AF复发风险之间的关联.
- 确定潜在的生物标志物来预测CA后AF复发.
主要方法:
- 对744名AF患者进行前性研究,这些患者首次接受CA.
- 从手术前的外周血液细胞计数计算出九种复合炎症标志物.
- 使用考克斯回归,限制立方线和ROC曲线的统计分析,并对强度进行灵敏度分析.
主要成果:
- 系统性免疫炎症指数 (SII),中性粒细胞对淋巴细胞比率 (NLR),系统性免疫炎症反应指数 (SIRI) 和泛免疫炎症值 (PIV) 的较高水平与AF复发风险的增加显著相关.
- 中性粒细胞对血小板的比率 (NPR) 也显示在第三季度的风险更高.
- 在评估的炎症标志物中,NLR显示出最好的预后效果 (AUC:0.62).
结论:
- SII,NLR,SIRI,NPR和PIV显示出作为预测CA后AF复发的有价值生物标志物的潜力.
- 与其他评估的炎症指数相比,NLR表现出优越的预测能力.
- 这些标记物可能有助于临床风险分层,并为减少AF复发率的策略提供信息.
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