Deep neural network-estimated electrocardiographic age as a mortality predictor.
Deep neural network-estimated electrocardiographic age as a mortality predictor.
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DOI：
10.1038/s41467-021-25351-7
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发表时间：
2021-08-25
影响因子：
16.6
通讯作者：
Ribeiro ALP
中科院分区：
文献类型：
--
作者：
Lima EM;Ribeiro AH;Paixão GMM;Ribeiro MH;Pinto-Filho MM;Gomes PR;Oliveira DM;Sabino EC;Duncan BB;Giatti L;Barreto SM;Meira W Jr;Schön TB;Ribeiro ALP
心电是评价心血管疾病最常用的检查方法。在这里，我们建议人工智能(AI)从原始心电预测的年龄(ECG-AGE)可以作为心血管健康状况的衡量标准。在代码研究队列(n = 1,558,415名患者)中，深度神经网络被训练成根据12导联心电图预测患者的年龄。在15%的坚持分割率下，心电图年龄大于8岁的患者死亡率较高(危险比(HR)1.79，p <； 0.001)，而心电图年龄小于8岁的患者死亡率较低(HR0.78，p <； 0.001)。在外部队列Elsa-Brasil(n = 14,236)和Sami-trop(n = 1,631)中也得到了类似的结果。此外，即使对于明显正常的心电图，预测的心电图年龄与实际年龄的差距仍然是一个具有统计学意义的风险预测指标。这些结果表明，启用人工智能的心电分析可以增加预后信息。心电图是筛查和评估心血管疾病最常用的检查方法。在这里，作者认为，人工智能从原始心电轨迹预测的年龄可以作为心血管健康状况的衡量标准，并提供预后信息。
The electrocardiogram (ECG) is the most commonly used exam for the evaluation of cardiovascular diseases. Here we propose that the age predicted by artificial intelligence (AI) from the raw ECG (ECG-age) can be a measure of cardiovascular health. A deep neural network is trained to predict a patient’s age from the 12-lead ECG in the CODE study cohort (n = 1,558,415 patients). On a 15% hold-out split, patients with ECG-age more than 8 years greater than the chronological age have a higher mortality rate (hazard ratio (HR) 1.79, p < 0.001), whereas those with ECG-age more than 8 years smaller, have a lower mortality rate (HR 0.78, p < 0.001). Similar results are obtained in the external cohorts ELSA-Brasil (n = 14,236) and SaMi-Trop (n = 1,631). Moreover, even for apparent normal ECGs, the predicted ECG-age gap from the chronological age remains a statistically significant risk predictor. These results show that the AI-enabled analysis of the ECG can add prognostic information. The electrocardiogram (ECG) is the most commonly used exam for the screening and evaluation of cardiovascular diseases. Here, the authors propose that the age predicted by artificial intelligence from the raw ECG tracing can be a measure of cardiovascular health and provide prognostic information.
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影响因子：
5.4
作者：
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