Qiong Huang MS, Yuansheng Fan MS, Jialin Wang BS, Zhiyang Xu MS, Linfeng Yang BS, Junhong Wang MD, PhD, Yiyang Zhan MD, PhD, Xiangqing Kong MD, PhD, Ningtian Zhou MD, PhD
{"title":"基于人工智能的 2 小时 Holter 监测在室性早搏和室上性收缩检测中的诊断效率","authors":"Qiong Huang MS, Yuansheng Fan MS, Jialin Wang BS, Zhiyang Xu MS, Linfeng Yang BS, Junhong Wang MD, PhD, Yiyang Zhan MD, PhD, Xiangqing Kong MD, PhD, Ningtian Zhou MD, PhD","doi":"10.1002/clc.24266","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Hypothesis</h3>\n \n <p>AI combined with single-lead Holter monitoring improves PSVC/PVC detection.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>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.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>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 (<i>p</i> < .0001).</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>The potential advantages of the 2 h-Holter were shortened wearing period, improved convenience, and excellent consistency of diagnosis.</p>\n </section>\n </div>","PeriodicalId":10201,"journal":{"name":"Clinical Cardiology","volume":"47 4","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/clc.24266","citationCount":"0","resultStr":"{\"title\":\"The diagnostic efficiency of artificial intelligence based 2 hours Holter monitoring in premature ventricular and supraventricular contractions detection\",\"authors\":\"Qiong Huang MS, Yuansheng Fan MS, Jialin Wang BS, Zhiyang Xu MS, Linfeng Yang BS, Junhong Wang MD, PhD, Yiyang Zhan MD, PhD, Xiangqing Kong MD, PhD, Ningtian Zhou MD, PhD\",\"doi\":\"10.1002/clc.24266\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Hypothesis</h3>\\n \\n <p>AI combined with single-lead Holter monitoring improves PSVC/PVC detection.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>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. 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The diagnostic efficiency of artificial intelligence based 2 hours Holter monitoring in premature ventricular and supraventricular contractions detection
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.
期刊介绍：
Clinical Cardiology provides a fully Gold Open Access forum for the publication of original clinical research, as well as brief reviews of diagnostic and therapeutic issues in cardiovascular medicine and cardiovascular surgery.
The journal includes Clinical Investigations, Reviews, free standing editorials and commentaries, and bonus online-only content.
The journal also publishes supplements, Expert Panel Discussions, sponsored clinical Reviews, Trial Designs, and Quality and Outcomes.
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