三甘-葡萄糖指数与估计的脉冲波速度相结合,改善了查尔斯队列中中风风险分层
Qun Xiao1, Aohan Xue2, Weicheng Huang3
1Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Scientific reports
|September 23, 2025
概括
甘油三糖 (TyG) 指数和估计的脉冲波速度 (ePWV) 独立预测中风风险. 将它们结合到TyG-ePWV指数中,可以提供卓越的中风预测准确度.
科学领域:
- 心血管疾病流行病学
- 生物标志物研究的研究.
- 公共卫生 公共卫生
背景情况:
- 脑卒中是一个主要的全球健康问题,需要改进风险预测.
- 心血管风险因素,包括甘油三糖 (TyG) 指数和估计的脉冲波速度 (ePWV),与中风有关.
- 对于中风风险的TyG和ePWV的联合预测值尚未得到充分确立.
研究的目的:
- 调查TyG指数,ePWV和中风风险之间的关联.
- 为了评估结合TyG-ePWV指数对中风的预测准确度.
- 探索TyG和ePWV在中风风险预测中的相互作用.
主要方法:
- 分析了来自中国健康与退休长度研究 (CHARLS) 的8444名45岁以上参与者的数据.
- 使用多变量考克斯比例危险模型和卡普兰-梅尔生存曲线.
- 使用接收器操作特征 (ROC) 曲线分析评估中风预测的准确性.
主要成果:
- 基线TyG指数和ePWV都与中风风险增加独立相关.
- 结合的TyG-ePWV指数显示,与单个标志物相比,具有最高的预测能力 (HR=1.99) 和卓越的准确性 (AUC=0.754).
- 观察到TyG和ePWV之间的双向相互作用,在老年人中更强烈的关联.
结论:
- 泰格指数和ePWV在中风风险方面发挥着独立和协同作用.
- 综合的TyG-ePWV指数是加强中风风险分层的宝贵工具.
- 这种综合指数提供了比传统风险因素更好的预测能力.
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