常规可用的炎症生物标志物用于预测心房动中风和心房动死亡率
Long Wu1, Zhiquan Yuan1, Yuhong Zeng1
1Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), PR China; Evidence-based Medicine and Clinical Epidemiology Center, Army Medical University (Third Military Medical University), PR China.
Clinics (Sao Paulo, Brazil)
|March 12, 2025
概括
常规的炎症生物标志物可以预测心房动 (AF) 患者的中风和死亡率. 将这些标志物添加到风险得分中可以改善预测,帮助AF管理的临床决策.
科学领域:
- 心脏病学 心脏病学
- 生物标志物 生物标志物
- 公共卫生 公共卫生
背景情况:
- 心房动 (AF) 构成中风和死亡的重大风险.
- 预测AF并发症的预测模型通常需要改进.
- 炎症在心血管事件中起作用.
研究的目的:
- 评估七种常见的炎症生物标志物对非膜性AF患者中风和全因死亡率的预测能力.
- 评估是否将这些生物标志物纳入,可以提高现有的风险分层分数.
主要方法:
- 利用多变量Cox比例危险模型分析了229名非膜AF患者的数据. 使用多变量Cox比例危险模型分析了229名非膜AF患者的数据.
- 测量的C-反应蛋白,白蛋白 (ALB),d-二次体,纤维素,血小板,淋巴细胞,单细胞和中性粒细胞.
- 计算了c-统计,净重新分类改进 (NRI) 和综合歧视改进 (IDI) 来评估预测性能.
主要成果:
- 淋巴细胞单细胞比率 (LMR) 显示为预测中风的最有希望的方法,尽管它没有提高CHA2DS2-VASc得分的预测能力.
- 添加LMR提高了中风CHA2DS2-VASc得分的重新分类能力.
- 系统性炎症评分 (SIS),从ALB,纤维素和LMR获得,当添加到CHA2DS2-VASc评分时,显著改善了所有原因死亡率的预测和重新分类.
结论:
- 常规的炎症生物标志物可以增强CHA2DS2-VASc得分对AF患者全因死亡率的预测能力.
- 这种具有成本效益的生物标志物策略为改善AF管理中的临床决策支持提供了潜力.
关键词:
心房动是一种心房动.CHA{2}DS{2}-VASc{3}-CHA{2}DS{2}-VASc{3}-CHA{4}-VASc{3}-VASc{3}-CHA{4}-VASc{4}-CHA{5}-VASc{4}-VASc{4}-VASc{4}-CHA{5}-CHA{6}-VASc{4}-VASc{4}-VASc{4}-CHA{6}-VASc{4}-VASc{4}-VASc{4}-VASc{4}-VASc{4}-CHA{5}-VASc{4}-VASc{4}-VASc{4}-VASc{4}-VASc{4}-VASc{4}-VASc{4}-VASc{4}-VASc{5}-VASc{4}-VASc{4}-VASc{5}-VASc{6}-炎症生物标志物的生物标志物死亡率 死亡率 死亡率一次性中风,中风.相关概念视频
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