Comprehensive Evaluation of Rhythm Monitoring Strategies in Screening for Atrial Fibrillation

Author:

Diederichsen Søren Zöga1ORCID,Haugan Ketil Jørgen2,Kronborg Christian3,Graff Claus4,Højberg Søren5,Køber Lars16,Krieger Derk78,Holst Anders Gaarsdal9,Nielsen Jonas Bille910,Brandes Axel1112,Svendsen Jesper Hastrup196

Affiliation:

1. Department of Cardiology, Rigshospitalet (S.Z.D., L.K., J.H.S.)

2. Department of Cardiology, Zealand University Hospital Roskilde, Denmark (K.J.H.).

3. Department of Business and Economics, University of Southern Denmark, Odense (C.K.).

4. Department of Health Science and Technology, Aalborg University, Denmark (C.G.).

5. Department of Cardiology, Bispebjerg Hospital (S.H.)

6. Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark (L.K., J.H.S.).

7. University Hospital Zurich, University of Zurich, Switzerland (D.K.).

8. Stroke Unit, Mediclinic City Hospital, Dubai, United Arab Emirates (D.K.).

9. Laboratory for Molecular Cardiology, Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Denmark (A.G.H., J.B.N., J.H.S.).

10. Department of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark (J.B.N.).

11. Department of Cardiology, Odense University Hospital, Denmark (A.B.).

12. Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense (A.B.).

Abstract

Background: Stroke is an increasing health problem worldwide. Atrial fibrillation (AF) is a major risk factor for stroke, and the attention given to AF screening is rising, as new monitoring technologies emerge. We aimed to evaluate the performance of a large panel of screening strategies and to assess population characteristics associated with diagnostic yield. Methods: Individuals with stroke risk factors but without AF were recruited from the general population to undergo screening with an implantable loop recorder. New-onset AF lasting ≥6 minutes was adjudicated by senior cardiologists. After continuous monitoring for >3 years, complete day-to-day heart rhythm data sets were reconstructed for every participant, including exact time of onset and termination of all AF episodes. Random sampling was applied to assess the sensitivity and negative predictive value of screening with various simulated screening strategies compared with the implantable loop recorder. The diagnostic yield across strategies and population subgroups was compared by use of nonparametric tests. Results: The rhythm data sets comprised 590 participants enduring a total of 659 758 days of continuous monitoring and 20 110 AF episodes. In these data, a single 10-second ECG yielded a sensitivity (and negative predictive value) of 1.5% (66%) for AF detection, increasing to 8.3% (67%) for twice-daily 30-second ECGs during 14 days and to 11% (68%), 13% (68%), 15% (69%), 21% (70%), and 34% (74%) for a single 24-hour, 48-hour, 72-hour, 7-day, or 30-day continuous monitoring, respectively. AF detection further improved when subsequent screenings were performed or when the same monitoring duration was spread over several periods compared with a single period (eg, three 24-hour monitorings versus one 72-hour monitoring; P <0.0001 for all comparisons). The sensitivity was consistently higher among participants with age ≥75 years, male sex, CHADS 2 score >2, or NT-proBNP (N-terminal pro-B-type natriuretic peptide) ≥40 pmol/L and among participants with underlying ≥24-hour AF episodes compared with shorter AF ( P <0.0001 for all screening strategies). Conclusions: In screening for AF among participants with stroke risk factors, the diagnostic yield increased with duration, dispersion, and number of screenings, although all strategies had low yield compared with the implantable loop recorder. The sensitivity was higher among participants who were older, were male, or had higher NT-proBNP. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT02036450 .

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Physiology (medical),Cardiology and Cardiovascular Medicine

Cited by 96 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3