多变量线性回归用于预测非侵入性动脉硬与心血管事件的关联
Susan Darroudi1, Mostafa Eslamiyeh2, Amin Mansoori1,3
1Vascular and Endovascular Surgery Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
ESC heart failure
|November 25, 2024
概括
脉冲波速度 (PWV) 与心血管疾病 (CVD) 和糖尿病,肥胖和高血压等危险因素有关. 在临床实践中,PWV可能是未来心血管疾病事件的优越预测因素.
科学领域:
- 心脏病学 心脏病学
- 血管医学 血管医学
- 生物医学工程 生物医学工程
背景情况:
- 动脉硬是增加缩血压和脉冲压的关键指标.
- 它也是心血管疾病 (CVD) 发展的预测因素.
研究的目的:
- 为了研究动脉硬与未来心血管疾病事件的发生之间的关系.
- 评估动脉硬度参数对心血管疾病的预测值.
主要方法:
- 使用SphygmoCor XCEL系统测量脉冲波速率 (PWV),中央增强指数 (CAI),心脚血管指数 (CAVI) 和中央大动脉压力 (CAP).
- 采用多变量多重回归模型来分析与动脉硬度参数相关的因素,调整混因素.
- 包括363名健康参与者,226人报告心血管疾病症状,292人有重大心血管事件史,来自MASHAD队列研究.
主要成果:
- 在已确认心血管疾病事件的个体中,平均PWV显著更高 (P < 0.001).
- 多变量回归揭示了PWV和CVD状态之间的显著关联,以及PWV与高血压和肥胖之间的关联.
- 糖尿病与CAI显著相关 (P<0.05).
结论:
- 脉冲波速度 (PWV) 与心血管疾病 (CVD) 和其风险因素有关,包括糖尿病,肥胖和高血压.
- 在临床环境中,PWV在预测心血管疾病方面可能比其他动脉硬度指标更有效.
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