通过人工智能启用心电图衍生的腹功能障碍分级和轨迹的预后价值在接受过导管大动脉置换的患者中
Chieh-Mei Tsai1, Jwan A Naser1, Gal Tsaban1
1Department of Cardiovascular Medicine Mayo Clinic Rochester Minnesota.
Journal of the American Heart Association
|January 30, 2026
概括
人工智能 (AI) 支持的心电图可以检测透支功能障碍 (DD) 并预测经过过导管大动脉置换的患者的死亡率. 这种人工智能工具可以比传统方法更好地进行风险评估,提供动态的预后见解.
科学领域:
- 心脏病学 心脏病学
- 人工智能在医学中的应用
- 医学诊断 医学诊断 医学诊断
背景情况:
- 支持人工智能 (AI) 的心电图是一种用于检测心脏功能障碍的新工具.
- 在过导管大动脉置换 (TAVR) 患者中,人工智能衍生的腹筋功能障碍 (DD) 的预后意义以前未被评估.
研究的目的:
- 评估人工智能启用心电学衍生的透静功能障碍 (DD) 的预后相关性,在接受过导管大动脉置换 (TAVR) 的患者中.
- 为了确定AI-DD是否在TAVR患者的确定的临床和心声测量之外增加了预后价值.
主要方法:
- 对3197名因严重大动脉狭窄而接受TAVR治疗的患者 (2010-2023) 的分析,使用基线12心电图,由人工智能模型处理DD分类 (等级0-3).
- 多变量考克斯模型和嵌套模型比较被用来评估与所有原因死亡率的关联.
- 分析包括一个预先指定的子组,不确定的心声回声分级和DD分级轨迹的评估.
主要成果:
- 在基线时,21%的人有3级,57%的人有2级,8%的人有1级,14%的人有0级AI-DD;更高的等级与不良的心脏改造和并发症相关.
- 3级AI-DD独立预测的死亡率 (HR1.80;P<0.001) 在中位数为3.4年的随访期间.
- 在临床和心声学测量之外,AI-DD改善了预后歧视 (ΔHarrell's C=0.016; P<0.001),包括在未确定心声学分级的患者中 (ΔHarrell's C=0.02; P=0.006).
结论:
- 人工智能启用心电学衍生的DD是TAVR后死亡率的独立预测因素.
- AI-DD提供了超越标准心声回声评估的增量预后价值.
- AI-DD通过纵向跟踪透气功能的动态风险分层来促进动态风险分层.
关键词:
人工智能的人工智能是人工智能.腹痛功能障碍 腹痛功能障碍 腹痛功能障碍超声心电图 (Echocardiography) 是一种心声回声仪.电心电图 (ECG) 是一种心电图.通过导管更换大动脉门.更多相关视频
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