对儿童用心电图年龄模型的评估和应用
Yu Cao1,2, Haiyan Xu3, Xiaohan Li1,2
1Clinical Data Center, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, 3333 Binsheng Road, Hangzhou, 310052, Zhejiang, People's Republic of China.
Scientific reports
|February 6, 2026
概括
一个新的儿科专用心电图年龄 (ECG年龄) 模型准确评估了儿童的心脏发育. 这种数字生物标志物可以识别潜在的健康问题,并帮助儿童心脏病学中的临床决策.
科学领域:
- 生物医学工程 生物医学工程
- 儿童心脏病学 儿童心脏病学
- 人工智能在医学中的应用
背景情况:
- 电心电图年龄 (ECG年龄),来自深度神经网络 (DNN),是主要研究成年人的健康指标.
- 儿科心脏发育具有独特的轨迹,需要专门的模型,与成人衍生的不同.
研究的目的:
- 评估和提出临床使用的儿科特异性心电图年龄模型.
- 评估成人与儿童心电图年龄模型的准确性.
- 探索ECG年龄差异与儿科疾病/异常之间的关联.
主要方法:
- 开发并验证了儿童特异性的心电图年龄模型,使用健康儿童的58,672个心电图.
- 与预先训练的成年模型和重新训练的成年模型进行性能比较.
- 分析了儿科疾病 (209,644个心电图) 和异常 (102,441个心电图) 的大型队列中的心电图年龄.
- 在Fallot (TOF) 手术的四分法中,研究了心电图年龄与术后结果的相关性.
主要成果:
- 成人衍生的心电图年龄模型在儿童中显示出有限的适用性.
- 专门的儿科模型在年龄评估方面取得了很高的准确性 (MAE:7.878±6.658个月,R2=0.821).
- 显著的心电图年龄差距与增加的疾病存在和异常相关.
- 电脑心电图年龄与TOF手术患者的术后并发症有显著的相关性.
结论:
- 儿童特异性的心电图年龄模型准确地反映了儿童的心脏发育.
- 电脑心电图年龄作为潜在的数字生物标志物用于检测儿科患者的病理状况.
- 这些模型可以支持儿科心脏病学中的临床决策和监测.
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