Literature DB >> 32114796

Comprehensive Evaluation of Rhythm Monitoring Strategies in Screening for Atrial Fibrillation: Insights From Patients at Risk Monitored Long Term With an Implantable Loop Recorder.

Søren Zöga Diederichsen1, Ketil Jørgen Haugan2, Christian Kronborg3, Claus Graff4, Søren Højberg5, Lars Køber1,6, Derk Krieger7,8, Anders Gaarsdal Holst9, Jonas Bille Nielsen9,10, Axel Brandes11,12, Jesper Hastrup Svendsen1,9,6.   

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, CHADS2 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.

Entities:  

Keywords:  atrial fibrillation; data science; diagnosis; mass screening; monitoring, physiologic; risk factors

Year:  2020        PMID: 32114796     DOI: 10.1161/CIRCULATIONAHA.119.044407

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  25 in total

Review 1.  Digital health solutions in the screening of subclinical atrial fibrillation.

Authors:  Sebastian König; Andreas Bollmann; Gerhard Hindricks
Journal:  Herz       Date:  2021-06-04       Impact factor: 1.443

2.  Detection of Left Atrial Myopathy Using Artificial Intelligence-Enabled Electrocardiography.

Authors:  Frederik H Verbrugge; Yogesh N V Reddy; Zachi I Attia; Paul A Friedman; Peter A Noseworthy; Francisco Lopez-Jimenez; Suraj Kapa; Barry A Borlaug
Journal:  Circ Heart Fail       Date:  2021-12-16       Impact factor: 8.790

3.  CHA2DS2-VASC Score Predicts the Risk of Stroke in Patients Hospitalized to the Internal Medicine Department Without Known Atrial Fibrillation.

Authors:  Karney Lahad; Elad Maor; Robert Klempfner; Chagai Grossman; Amit Druyan; Ilan Ben-Zvi
Journal:  J Gen Intern Med       Date:  2022-05-27       Impact factor: 6.473

4.  Diagnostic sensitivity and cost per diagnosis of ambulatory cardiac monitoring strategies in unexplained syncope patients.

Authors:  John D Rogers; Lucas Higuera; Sarah C Rosemas; Ya-Jian Cheng; Paul D Ziegler
Journal:  PLoS One       Date:  2022-06-24       Impact factor: 3.752

5.  Blood-Based Biomarkers to Search for Atrial Fibrillation in High-Risk Asymptomatic Individuals and Cryptogenic Stroke Patients.

Authors:  Elena Palà; Alejandro Bustamante; Jorge Pagola; Jesus Juega; Jaume Francisco-Pascual; Anna Penalba; Maite Rodriguez; Mercedes De Lera Alfonso; Juan F Arenillas; Juan Antonio Cabezas; Soledad Pérez-Sánchez; Francisco Moniche; Reyes de Torres; Teresa González-Alujas; Josep Lluís Clúa-Espuny; Juan Ballesta-Ors; Domingo Ribas; Juan Acosta; Alonso Pedrote; Felipe Gonzalez-Loyola; Delicia Gentile Lorente; Miguel Ángel Muñoz; Carlos A Molina; Joan Montaner
Journal:  Front Cardiovasc Med       Date:  2022-07-04

6.  Feasible approaches and implementation challenges to atrial fibrillation screening: a qualitative study of stakeholder views in 11 European countries.

Authors:  Daniel Engler; Coral L Hanson; Lien Desteghe; Giuseppe Boriani; Søren Zöga Diederichsen; Ben Freedman; Elena Palà; Tatjana S Potpara; Henning Witt; Hein Heidbuchel; Lis Neubeck; Renate B Schnabel
Journal:  BMJ Open       Date:  2022-06-21       Impact factor: 3.006

Review 7.  Research Priorities in Atrial Fibrillation Screening: A Report From a National Heart, Lung, and Blood Institute Virtual Workshop.

Authors:  Emelia J Benjamin; Alan S Go; Patrice Desvigne-Nickens; Christopher D Anderson; Barbara Casadei; Lin Y Chen; Harry J G M Crijns; Ben Freedman; Mellanie True Hills; Jeff S Healey; Hooman Kamel; Dong-Yun Kim; Mark S Link; Renato D Lopes; Steven A Lubitz; David D McManus; Peter A Noseworthy; Marco V Perez; Jonathan P Piccini; Renate B Schnabel; Daniel E Singer; Robert G Tieleman; Mintu P Turakhia; Isabelle C Van Gelder; Lawton S Cooper; Sana M Al-Khatib
Journal:  Circulation       Date:  2021-01-25       Impact factor: 29.690

Review 8.  Subcutaneouscardiac Rhythm Monitors: A Comprehensive Review.

Authors:  Gaurav Aggarwal; Saurabh Aggarwal; Venkata Alla; Bharat Narasimhan; Kyungmoo Ryu; Courtney Jeffery; Dhanunjaya Lakkireddy
Journal:  J Atr Fibrillation       Date:  2021-02-28

9.  Frequency of cardiac arrhythmias in older adults: Findings from the Subclinical Atrial Fibrillation and Risk of Ischemic Stroke (SAFARIS) study.

Authors:  Carlo Mannina; Zhezhen Jin; Kenji Matsumoto; Kazato Ito; Angelo Biviano; Mitchell S V Elkind; Tatjana Rundek; Shunichi Homma; Ralph L Sacco; Marco R Di Tullio
Journal:  Int J Cardiol       Date:  2021-05-06       Impact factor: 4.039

10.  Integrated care for optimizing the management of stroke and associated heart disease: a position paper of the European Society of Cardiology Council on Stroke.

Authors:  Gregory Y H Lip; Deirdre A Lane; Radosław Lenarczyk; Giuseppe Boriani; Wolfram Doehner; Laura A Benjamin; Marc Fisher; Deborah Lowe; Ralph L Sacco; Renate Schnabel; Caroline Watkins; George Ntaios; Tatjana Potpara
Journal:  Eur Heart J       Date:  2022-07-07       Impact factor: 35.855

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