基于常规血液的炎症标志物与皮肤冠状动脉干预的患者的预后的关联
Li Kun Huo1,2, Kang Yin Chen1, Gary Tse1,3,4
1Department of Cardiology, Tianjin Key Laboratory of Ions and Molecular Function of Cardiovascular Diseases, The Second Hospital of Tianjin Medical University, Tianjin Institute of Cardiology, Tianjin, China.
Medicine
|May 10, 2024
概括
炎症标志物,包括中性粒细胞与淋巴细胞比率 (NLR) 和红细胞分布宽度 (RDW),预测皮肤冠状动脉干预 (PCI) 后的一年死亡率. 较高的NLR和RDW水平与风险增加有关,改善了患者风险分层.
科学领域:
- 心脏病学 心脏病学
- 炎症研究 炎症研究
- 生物标记分析 生物标记分析
背景情况:
- 炎症是冠状动脉疾病 (CAD) 进展的关键因素.
- 穿皮冠状动脉干预 (PCI) 是对CAD的常见治疗方法.
- 预测PCI后的死亡率对于患者管理至关重要.
研究的目的:
- 在接受PCI的患者中,研究炎症生物标志物与1年全因死亡率之间的关联.
- 评估中性粒细胞与淋巴细胞比率 (NLR) 和红细胞分布宽度 (RDW) 在PCI后死亡率的预测值.
主要方法:
- 对4651名接受PCI的患者进行了回顾性队列研究.
- 基线人口,临床和实验室参数的分析.
- 考克斯回归,受限立方线和ROC分析被用来评估生物标志物与死亡率之间的关联.
主要成果:
- 198名 (4.26%) 患者在PCI后1年内死亡.
- 在对混因素进行调整后,NLR和RDW是1年全因死亡率的显著独立预测因素.
- 结合NLR和RDW的多变量模型将曲线下的面积提高到0.83,用于死亡率预测.
结论:
- NLR和RDW是预测PCI患者1年死亡率的有价值的炎症生物标志物.
- 这些生物标志物可以增强风险分层,并为临床决策提供信息.
- 为预测个体死亡风险,开发了一个名图表.
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