心电图年龄与认知功能之间的关联:来自英国生物库和弗雷明汉心脏研究的发现
Bernard Ofosuhene1, Huitong Ding2,3, Heaven Y Tatere1
1Department of Medicine, University of Massachusetts Chan Medical School, 55 Lake Ave N, Worcester, MA 01655, USA.
European heart journal. Digital health
|March 9, 2026
概括
根据心电图 (ECG) 的生物学年龄与认知能力下降有关. 加快的ECG衍生的衰老与较差的认知表现相关,这表明ECG可以识别有认知障碍风险的个体.
科学领域:
- 心脏病学 心脏病学
- 神经学 神经学
- 老年学是一门学科.
背景情况:
- 从使用深度学习的心电图 (ECG) 来估计生物年龄显示出对评估生理衰老的前景.
- 电脑心电图衍生的生物年龄与认知表现之间的关系尚未得到充分理解.
研究的目的:
- 在大型基于人群的队列中调查ECG衍生的生物年龄与认知表现之间的关联.
- 为了确定基于心电图的衰老指标是否可以预测认知能力下降.
主要方法:
- 深度学习模型用于估计基于心电图的生物年龄 (ECG-age) 从英国生物银行和弗拉明翰心脏研究队列中的心电图波形.
- 计算年龄差异 (Δage) 并将参与者分为加速,正常或减缓衰老组.
- 通过六个领域的标准化神经心理测试和全球分数来评估认知表现.
主要成果:
- 较高的 Δage 在两个队列中都与较低的全球认知表现显著相关.
- 电脑心电图衍生的衰老加速与多个认知领域的表现差相关.
- 这项研究包括来自两个独立队列的65,000多名参与者.
结论:
- 电脑心电图衍生的衰老加速与较差的认知表现有关.
- 基于心电图的衰老指标是潜在的可扩展的,低成本的数字标记,用于识别面临认知衰退风险的个体.
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