人工智能血管年龄与心脏代谢疾病进展的关系:弗雷明汉心脏研究
David J Hamel-Sellman1, Brenton R Prescott2, Timothy J Korzinski1
1Cardiovascular Engineering, Inc. Needham MA USA.
Journal of the American Heart Association
|December 10, 2025
概括
通过人工智能血管年龄 (AI-VA) 测量的大动脉硬与心脏代谢疾病 (CMD) 的进展有关. AI-VA可以作为一种新的查工具,用于识别有CMD风险的个体.
科学领域:
- 心血管科学 心血管科学
- 代谢健康 代谢健康
- 血管衰老 血管衰老
背景情况:
- 大动脉硬化加剧了脉动力传输,损害了微血管反应能力和葡萄糖平衡.
- 心脏代谢性疾病 (CMD) 是大动脉硬化和心血管疾病 (CVD) 风险的重要贡献者.
- 了解大动脉硬和CMD进展之间的双向关系对于风险评估至关重要.
研究的目的:
- 通过人工智能血管年龄 (AI-VA) 测量的大动脉硬度与心脏代谢疾病 (CMD) 的进展之间的双向关系的研究.
- 评估AI-VA与发生高血压,糖尿病,肥胖和脂质异常的关联.
- 探索AI-VA作为潜在的CMD风险查工具的实用性.
主要方法:
- 利用Cox比例危险回归来分析AI-VA与7188名Framingham心脏研究参与者的新发性CMD标志物相关.
- 采用自回归交叉滞后面板模型来检查AI-VA和持续心脏代谢措施之间的短期双向关系,持续6年.
- 应用多态过渡分析以可视化CMD和心血管疾病状态的进展.
主要成果:
- 加速的AI-VA显著与发生高血压,糖尿病,肥胖和脂质异常的风险增加有关.
- 观察到AI-VA和空腹血糖,甘油三和平均动脉压之间的双向关系,表明CMD进展的自我强化周期.
- 大多数心血管疾病事件 (70%) 发生在至少有两个已确定的心血管疾病状态的人群中.
结论:
- 在基于社区的样本中,AI-VA证明了与持续心脏代谢测量和事件CMD的双向关联.
- 这些发现表明,AI-VA可能是一个有价值的新查工具,用于识别患有心脏代谢疾病风险的个体.
- 该研究强调了大动脉硬和CMD的相互联系,强调了早期检测和干预的重要性.
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