先进心电图心脏年龄:一种可预测,可解释的机器学习方法,适用于鼻腔和非鼻腔节律
Zaidon S Al-Falahi1,2, Todd T Schlegel3,4, Israel Palencia-Lamela1
1Kolling Institute, Royal North Shore Hospital, University of Sydney, St Leonards, Sydney, NSW 2065, Australia.
European heart journal. Digital health
|January 23, 2025
概括
一种新的可解释的先进心电图 (A-ECG) 心脏年龄计算适用于所有心脏节律,而不仅仅是鼻节律. 这种修订的A-ECG心脏年龄差距有效预测心血管风险和疾病,改善患者的治疗结果.
科学领域:
- 心脏病学 心脏病学
- 医疗技术 医疗技术 医学技术
- 预测分析是一种预测分析.
背景情况:
- 可解释的先进心电图 (A-ECG) 心脏年龄差距估计心血管衰老和风险.
- 现有的A-ECG心脏衰老方法仅限于发生鼻节律的患者.
- 需要一种适用于所有心律的心血管风险评估工具.
研究的目的:
- 开发和验证可用于鼻腔和非鼻腔节律的修订后,可解释的A-ECG心脏年龄.
- 评估这种新的A-ECG心脏年龄差距在预测心血管事件和并发症方面的预后价值.
主要方法:
- 一个新的A-ECG心脏年龄,不包括P波测量,是使用机器学习在10秒12心电图上得出的.
- 该模型使用贝叶斯5分钟A-ECG心脏年龄作为导出队列 (n=2771) 的参考来训练该模型.
- 在一个单独的队列 (n=731) 的外部验证中,使用Cox回归评估了与心血管事件 (心力衰竭住院或死亡) 和并发症的关联.
主要成果:
- 导出的A-ECG心脏年龄与参考的5分钟A-ECG心脏年龄 (R2=0.91) 强烈一致.
- 在验证队列中,增加的A-ECG心脏年龄差距 (≥10年) 与不良心血管事件 (HR2.04,C-统计0.58) 有显著的关联.
- A-ECG心脏年龄差距也与高血压,糖尿病,高胆固醇和心力衰竭 (P ≤ 0.009) 的存在相关.
结论:
- 一个可解释的A-ECG心脏年龄差距可以可靠地计算,不管心律如何.
- 这一修订的A-ECG心脏年龄差距是心血管风险,发病率和死亡率的重要预测指标.
- 该方法为直观的心血管风险沟通和临床决策提供了有价值的工具.
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