大动脉脉冲波速度用振荡计脉冲波分析算法确定 安塔雷斯是主要不良心血管事件的独立预测器:一项前性队列研究
Marcus Dörr1,2, Harald Lapp3, Stefan Richter4
1Department of Internal Medicine B, University Medicine Greifswald, 17475 Greifswald, Germany.
Journal of clinical medicine
|December 17, 2024
概括
安塔雷斯算法可以从血压读数中确定大动脉脉冲波速度 (aPWV). 较高的aPWV值独立预测主要心血管不良事件 (MACE),有助于风险分层.
科学领域:
- 心血管医学 心血管医学
- 生物医学工程 生物医学工程
- 临床诊断 临床诊断 临床诊断
背景情况:
- 大动脉脉冲波速度 (aPWV) 是动脉刚性的关键指标.
- 安塔雷斯算法使用标准振荡计血压波形计算aPWV.
- 评估动脉硬性的非侵入性方法对于评估心血管风险至关重要.
研究的目的:
- 为了评估来自南极星的aPWV与动脉硬之间的关联.
- 确定来自南极星的aPWV在预测主要不良心血管事件 (MACE) 中的预后价值.
- 评估这种非侵入性方法在临床风险分层中的有用性.
主要方法:
- 对240名患者进行前性研究,平均年龄为69岁.
- aPWV是使用从振荡计血压计算的Antares算法来计算的.
- MACE (心肌梗塞,中风,全因死亡率) 追踪时间平均为43个月.
- 生存分析包括卡普兰-梅尔,日志等级测试和考克斯比例危险模型.
主要成果:
- 患有PWV<10m/s的患者的无事件生存率明显更好 (日志排名p=0.044).
- aPWV的最高四分位数显示了最高的MACE率 (日志排名p<0.01).
- 来自南极星的aPWV是MACE的独立预测因子 (HR每1m/s:1.24;p=0.002),提高了风险模型的准确性.
结论:
- 由Antares算法衍生出的aPWV独立预测研究队列中的心血管事件.
- 这种非侵入性测量为门诊心血管风险分层提供了一个有希望的工具.
- 该方法可能有助于更有效地针对预防策略.
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