Simple electrocardiography algorithm for localizing accessory pathway in patients with Wolff–Parkinson–White syndrome

医学 算法 心电图 烧蚀 心脏病学 旁道 预测值 试验预测值 内科学 导管消融 数学
作者
Sunu Budhi Raharjo,Ardhestiro Hanindyo Putro,Anwar Santoso,Dicky A. Hanafy,Dony Yugo Hermanto,Sarah Humaira,Yoga Yuniadi
出处
期刊:Acta Cardiologica [Informa]
卷期号:77 (8): 729-733
标识
DOI:10.1080/00015385.2021.1967623
摘要

Background Existing algorithms to predict the location of an accessory pathway (AP) in Wolff–Parkinson–White Syndrome (WPW) have good sensitivity and specificity but complex with various accuracy and inter-observer agreement rates. A simple algorithm with high accuracy and inter-observer agreement rates is needed.Methods This was a cross-sectional and retrospective diagnostic study. The data were collected by total population sampling from January 2015 to January 2017. Forty-seven patients were included in the study. Data collected were pre-ablation 12-lead ECGs and ablation reports. These ECGs were evaluated by two independent observers using the simplified algorithm and compared with ablation results.Results The algorithm had a sensitivity of 45% on the left free wall, 80% on septal, 92% on the right free wall, and the specificity of 96% on the left free wall, 69% on the septal, 85% on the right free wall for AP prediction. The positive predictive value was 90% on the left free wall, 55% on the septal, and 67% on the right free wall APs. The negative predictive value was 70% on the left free wall, 88% on the septal, and 97% on right free wall AP. The positive likelihood ratio was 11.23 on the left free wall, 2.23 on septal and 6.57 on right free wall APs, and the negative likelihood ratio was 0.57 on left free wall APs, 0.28 on septal, and 0.09 on the right free wall APs. Algorithm accuracy varied from 73–87%. Inter-observer agreement calculation was kappa 0.93 for left free wall AP, 0.78 for septal AP, and 0.74 for right free wall AP.Conclusion This simple algorithm has a remarkable accuracy and inter-observer agreement; therefore, it may prove to be helpful even to non-electrophysiologists and has the potential to be integrated into clinical practice
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
小星星完成签到,获得积分10
刚刚
啵乐乐发布了新的文献求助10
刚刚
爆米花应助瘦瘦白昼采纳,获得10
刚刚
wintercyan发布了新的文献求助20
刚刚
大雁高飞出不胜寒完成签到,获得积分10
1秒前
PSCs发布了新的文献求助10
1秒前
QWJ完成签到,获得积分10
1秒前
2秒前
2秒前
2秒前
zxy完成签到,获得积分10
3秒前
sober完成签到,获得积分10
3秒前
3秒前
mmknnk完成签到,获得积分20
3秒前
cc2064完成签到 ,获得积分10
3秒前
调皮冰旋发布了新的文献求助10
4秒前
西哈哈完成签到,获得积分20
4秒前
4秒前
4秒前
4秒前
Orange应助幸福胡萝卜采纳,获得10
4秒前
SHDeathlock完成签到,获得积分10
5秒前
习习发布了新的文献求助100
6秒前
Jolene66完成签到,获得积分10
6秒前
研友_8RlQ2n发布了新的文献求助10
6秒前
7秒前
852应助Pangsj采纳,获得10
7秒前
Song完成签到 ,获得积分10
7秒前
7秒前
8秒前
大胆夜绿发布了新的文献求助10
8秒前
Dr终年完成签到,获得积分10
8秒前
katharsis完成签到,获得积分10
8秒前
Ricardo发布了新的文献求助10
9秒前
歪歪象发布了新的文献求助10
9秒前
zeno123456完成签到,获得积分10
9秒前
陈某某发布了新的文献求助10
9秒前
10秒前
he完成签到,获得积分10
10秒前
10秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527469
求助须知:如何正确求助?哪些是违规求助? 3107497
关于积分的说明 9285892
捐赠科研通 2805298
什么是DOI,文献DOI怎么找? 1539865
邀请新用户注册赠送积分活动 716714
科研通“疑难数据库(出版商)”最低求助积分说明 709678