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基于人工智能的 2 小时动态心电图监测在室性和室上性早搏检测中的诊断效率。

The diagnostic efficiency of artificial intelligence based 2 hours Holter monitoring in premature ventricular and supraventricular contractions detection.

机构信息

Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

Department of Cardiac Surgery, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

出版信息

Clin Cardiol. 2024 Apr;47(4):e24266. doi: 10.1002/clc.24266.

DOI:10.1002/clc.24266
PMID:38587231
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11000269/
Abstract

BACKGROUND

Electrocardiography (ECG) and 24 hours Holter monitoring (24 h-Holter) provided valuable information for premature ventricular and supraventricular contractions (PVC and PSVC). Currently, artificial intelligence (AI) based 2 hours single-lead Holter (2 h-Holter) monitoring may provide an improved strategy for PSVC/PVC diagnosis.

HYPOTHESIS

AI combined with single-lead Holter monitoring improves PSVC/PVC detection.

METHODS

In total, 170 patients were enrolled between August 2022 and 2023. All patients wore both devices simultaneously; then, we compared diagnostic efficiency, including the sensitivity/specificity/positive predictive-value (PPV) and negative predictive-value (NPV) in detecting PSVC/PVC by 24 h-Holter and 2 h-Holter.

RESULTS

The PPV and NPV in patients underwent 2 h-Holter were 76.00%/87.50% and 96.35%/98.55, respectively, and the sensitivity and specificity were 79.17%/91.30%, and 95.65%/97.84% in PSVC/PVC detection compared with 24 h-Holter. The areas under the ROC curves (AUCs) for PSVC and PVC were 0.885 and 0.741, respectively (p < .0001).

CONCLUSIONS

The potential advantages of the 2 h-Holter were shortened wearing period, improved convenience, and excellent consistency of diagnosis.

摘要

背景

心电图(ECG)和 24 小时动态心电图监测(24 h-Holter)为室性和室上性早搏(PVC 和 PSVC)提供了有价值的信息。目前,基于人工智能(AI)的 2 小时单导联动态心电图监测(2 h-Holter)可能为 PSVC/PVC 诊断提供一种改进策略。

假说

AI 与单导联动态心电图监测相结合可提高 PSVC/PVC 的检出率。

方法

2022 年 8 月至 2023 年期间共纳入 170 例患者。所有患者同时佩戴两种设备;然后,我们比较了 24 h-Holter 和 2 h-Holter 检测 PSVC/PVC 的诊断效率,包括敏感性/特异性/阳性预测值(PPV)和阴性预测值(NPV)。

结果

2 h-Holter 组的 PPV 和 NPV 分别为 76.00%/87.50%和 96.35%/98.55%,其在 PSVC/PVC 检测中的敏感性和特异性分别为 79.17%/91.30%和 95.65%/97.84%,均优于 24 h-Holter。PSVC 和 PVC 的 ROC 曲线下面积(AUC)分别为 0.885 和 0.741(p<0.0001)。

结论

2 h-Holter 的潜在优势在于佩戴时间缩短、便利性提高和诊断一致性良好。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38ca/11000269/50fe51250dd3/CLC-47-e24266-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38ca/11000269/0a5417a58c7f/CLC-47-e24266-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38ca/11000269/50fe51250dd3/CLC-47-e24266-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38ca/11000269/0a5417a58c7f/CLC-47-e24266-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/38ca/11000269/50fe51250dd3/CLC-47-e24266-g001.jpg

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本文引用的文献

1
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Heart Lung. 2023 Sep-Oct;61:59-64. doi: 10.1016/j.hrtlng.2023.04.015. Epub 2023 May 6.
2
Assessment of the atrial fibrillation burden in Holter electrocardiogram recordings using artificial intelligence.使用人工智能评估动态心电图记录中的房颤负荷。
Cardiovasc Digit Health J. 2023 Jan 27;4(2):41-47. doi: 10.1016/j.cvdhj.2023.01.003. eCollection 2023 Apr.
3
Arrhythmias and Conduction Disturbances in Patients with Systemic Sclerosis-A Systematic Literature Review.
系统性硬化症患者的心律失常和传导障碍:系统文献综述。
Int J Mol Sci. 2022 Oct 26;23(21):12963. doi: 10.3390/ijms232112963.
4
Device agnostic AI-based analysis of ambulatory ECG recordings.基于人工智能的动态心电图记录设备无关性分析。
J Electrocardiol. 2022 Sep-Oct;74:154-157. doi: 10.1016/j.jelectrocard.2022.09.002. Epub 2022 Sep 16.
5
Comparison Between the 24-hour Holter Test and 72-hour Single-Lead Electrocardiogram Monitoring With an Adhesive Patch-Type Device for Atrial Fibrillation Detection: Prospective Cohort Study.24 小时动态心电图与 72 小时单导联心电贴监测在心房颤动检测中的比较:前瞻性队列研究。
J Med Internet Res. 2022 May 9;24(5):e37970. doi: 10.2196/37970.
6
Remote and wearable ECG devices with diagnostic abilities in adults: A state-of-the-science scoping review.具有诊断能力的远程和可穿戴心电图设备在成年人中的应用:现状科学范围综述。
Heart Rhythm. 2022 Jul;19(7):1192-1201. doi: 10.1016/j.hrthm.2022.02.030. Epub 2022 Mar 9.
7
Artificial Intelligence for Detection of Cardiovascular-Related Diseases from Wearable Devices: A Systematic Review and Meta-Analysis.基于可穿戴设备的心血管疾病人工智能检测:系统评价和荟萃分析。
Yonsei Med J. 2022 Jan;63(Suppl):S93-S107. doi: 10.3349/ymj.2022.63.S93.
8
Screening for paroxysmal atrial fibrillation in primary care using Holter monitoring and intermittent, ambulatory single-lead electrocardiography.在初级保健中使用动态心电图监测和间歇性、动态单导联心电图筛查阵发性心房颤动。
Int J Cardiol. 2021 Dec 15;345:41-46. doi: 10.1016/j.ijcard.2021.10.021. Epub 2021 Oct 21.
9
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J Electrocardiol. 2021 Sep-Oct;68:124-129. doi: 10.1016/j.jelectrocard.2021.08.012. Epub 2021 Aug 14.
10
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JAMA. 2021 Jun 1;325(21):2169-2177. doi: 10.1001/jama.2021.6470.