Mayo Clinic VT calculator: A practical tool for accurate wide complex tachycardia differentiation

IF 1.1 4区 医学 Q4 CARDIAC & CARDIOVASCULAR SYSTEMS
Anthony H. Kashou MD, Sarah LoCoco MD, Matthew R. Gardner MBA, MDes, Jocelyn Webb BS, Jacob C. Jentzer MD, Peter A. Noseworthy MD, Christopher V. DeSimone MD, PhD, Abhishek J. Deshmukh MBBS, Samuel J. Asirvatham MD, Adam M. May MD
{"title":"Mayo Clinic VT calculator: A practical tool for accurate wide complex tachycardia differentiation","authors":"Anthony H. Kashou MD,&nbsp;Sarah LoCoco MD,&nbsp;Matthew R. Gardner MBA, MDes,&nbsp;Jocelyn Webb BS,&nbsp;Jacob C. Jentzer MD,&nbsp;Peter A. Noseworthy MD,&nbsp;Christopher V. DeSimone MD, PhD,&nbsp;Abhishek J. Deshmukh MBBS,&nbsp;Samuel J. Asirvatham MD,&nbsp;Adam M. May MD","doi":"10.1111/anec.13085","DOIUrl":null,"url":null,"abstract":"<p>The discrimination of ventricular tachycardia (VT) versus supraventricular wide complex tachycardia (SWCT) via 12-lead electrocardiogram (ECG) is crucial for achieving appropriate, high-quality, and cost-effective care in patients presenting with wide QRS complex tachycardia (WCT). Decades of rigorous research have brought forth an expanding arsenal of applicable manual algorithm methods for differentiating WCTs. However, these algorithms are limited by their heavy reliance on the ECG interpreter for their proper execution. Herein, we introduce the Mayo Clinic ventricular tachycardia calculator (MC-VTcalc) as a novel generalizable, accurate, and easy-to-use means to estimate VT probability independent of ECG interpreter competency. The MC-VTcalc, through the use of web-based and mobile device platforms, only requires the entry of computerized measurements (i.e., QRS duration, QRS axis, and T-wave axis) that are routinely displayed on standard 12-lead ECG recordings.</p>","PeriodicalId":8074,"journal":{"name":"Annals of Noninvasive Electrocardiology","volume":"28 6","pages":""},"PeriodicalIF":1.1000,"publicationDate":"2023-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/anec.13085","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Noninvasive Electrocardiology","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/anec.13085","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

The discrimination of ventricular tachycardia (VT) versus supraventricular wide complex tachycardia (SWCT) via 12-lead electrocardiogram (ECG) is crucial for achieving appropriate, high-quality, and cost-effective care in patients presenting with wide QRS complex tachycardia (WCT). Decades of rigorous research have brought forth an expanding arsenal of applicable manual algorithm methods for differentiating WCTs. However, these algorithms are limited by their heavy reliance on the ECG interpreter for their proper execution. Herein, we introduce the Mayo Clinic ventricular tachycardia calculator (MC-VTcalc) as a novel generalizable, accurate, and easy-to-use means to estimate VT probability independent of ECG interpreter competency. The MC-VTcalc, through the use of web-based and mobile device platforms, only requires the entry of computerized measurements (i.e., QRS duration, QRS axis, and T-wave axis) that are routinely displayed on standard 12-lead ECG recordings.

Abstract Image

梅奥诊所VT计算器:一个实用的工具,准确的宽复杂心动过速分化
通过12导联心电图(ECG)区分室性心动过速(VT)与室上宽性复杂心动过速(SWCT)对于获得对宽QRS复杂心动过速(WCT)患者的适当、高质量和高成本效益的护理至关重要。几十年的严格研究已经提出了一个适用于区分wct的手动算法方法的扩展库。然而,这些算法由于其对ECG解释器的严重依赖而受到限制。在此,我们介绍了梅奥诊所室性心动过速计算器(MC-VTcalc),作为一种新颖的、通用的、准确的、易于使用的方法来估计VT概率,而不依赖于ECG口译能力。MC-VTcalc通过使用基于网络和移动设备平台,只需要输入计算机化的测量值(即QRS持续时间,QRS轴和t波轴),这些测量值通常显示在标准的12导联心电图记录上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.40
自引率
0.00%
发文量
88
审稿时长
6-12 weeks
期刊介绍: The ANNALS OF NONINVASIVE ELECTROCARDIOLOGY (A.N.E) is an online only journal that incorporates ongoing advances in the clinical application and technology of traditional and new ECG-based techniques in the diagnosis and treatment of cardiac patients. ANE is the first journal in an evolving subspecialty that incorporates ongoing advances in the clinical application and technology of traditional and new ECG-based techniques in the diagnosis and treatment of cardiac patients. The publication includes topics related to 12-lead, exercise and high-resolution electrocardiography, arrhythmias, ischemia, repolarization phenomena, heart rate variability, circadian rhythms, bioengineering technology, signal-averaged ECGs, T-wave alternans and automatic external defibrillation. ANE publishes peer-reviewed articles of interest to clinicians and researchers in the field of noninvasive electrocardiology. Original research, clinical studies, state-of-the-art reviews, case reports, technical notes, and letters to the editors will be published to meet future demands in this field.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信