运动中的循环心血管生物标志物:通过动态预测重新定义心血管风险
Marie de Bakker1, Becky Gordon2, Anoop S V Shah3
1Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.
European journal of preventive cardiology
|December 8, 2025
概括
新型心血管生物标志物和动态风险预测模型可以改善心血管疾病 (CVD) 风险评估. 动态方法,包括随时间变化的生物标志物,提供个性化的初级预防策略,以获得更好的公共卫生结果.
科学领域:
- 心脏病学 心脏病学
- 预防医学 预防医学
- 生物标志物研究 生物标志物研究
背景情况:
- 目前对初级预防的心血管疾病 (CVD) 风险估计低于最佳水平.
- 需要优化和个性化的心血管疾病风险预测策略.
研究的目的:
- 审查循环心血管生物标志物的实用性,以改善一般人群中心血管疾病风险预测.
- 探索动态和个性化的心血管风险估计的新统计方法.
主要方法:
- 对循环心血管生物标志物的综述:C反应蛋白,生长分化因子15,N终端亲B型尿素和心脏热素.
- 讨论动态风险预测方法,如联合建模以纳入时间变化.
主要成果:
- 单一时间点心血管生物标志物显示,对于预测心血管疾病风险的传统风险因素,其附加值很小.
- 整合随时间变化的生物标志物的动态风险预测模型可以提高心血管疾病风险估计.
结论:
- 动态的,多标记生物标记驱动的风险预测模型是可行的现有技术.
- 未来的研究应该专注于验证这些模型并评估它们的临床实施,成本效益和公共卫生影响.
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