Literature DB >> 26893496

Performance of handheld electrocardiogram devices to detect atrial fibrillation in a cardiology and geriatric ward setting.

Lien Desteghe1,2, Zina Raymaekers3, Mark Lutin4, Johan Vijgen2, Dagmara Dilling-Boer2, Pieter Koopman2, Joris Schurmans2, Philippe Vanduynhoven2, Paul Dendale3,2, Hein Heidbuchel3,2.   

Abstract

AIMS: To determine the usability, accuracy, and cost-effectiveness of two handheld single-lead electrocardiogram (ECG) devices for atrial fibrillation (AF) screening in a hospital population with an increased risk for AF. METHODS AND
RESULTS: Hospitalized patients (n = 445) at cardiological or geriatric wards were screened for AF by two handheld ECG devices (MyDiagnostick and AliveCor). The performance of the automated algorithm of each device was evaluated against a full 12-lead or 6-lead ECG recording. All ECGs and monitor tracings were also independently reviewed in a blinded fashion by two electrophysiologists. Time investments by nurses and physicians were tracked and used to estimate cost-effectiveness of different screening strategies. Handheld recordings were not possible in 7 and 21.4% of cardiology and geriatric patients, respectively, because they were not able to hold the devices properly. Even after the exclusion of patients with an implanted device, sensitivity and specificity of the automated algorithms were suboptimal (Cardiology: 81.8 and 94.2%, respectively, for MyDiagnostick; 54.5 and 97.5%, respectively, for AliveCor; Geriatrics: 89.5 and 95.7%, respectively, for MyDiagnostick; 78.9 and 97.9%, respectively, for AliveCor). A scenario based on automated AliveCor evaluation in patients without AF history and without an implanted device proved to be the most cost-effective method, with a provider cost to identify one new AF patient of €193 and €82 at cardiology and geriatrics, respectively. The cost to detect one preventable stroke per year would be €7535 and €1916, respectively (based on average CHA2DS2-VASc of 3.9 ± 2.0 and 5.0 ± 1.5, respectively). Manual interpretation increases sensitivity, but decreases specificity, doubling the cost per detected patient, but remains cheaper than sole 12-lead ECG screening.
CONCLUSION: Using AliveCor or MyDiagnostick handheld recorders requires a structured screening strategy to be effective and cost-effective in a hospital setting. It must exclude patients with implanted devices and known AF, and requires targeted additional 12-lead ECGs to optimize specificity. Under these circumstances, the expenses per diagnosed new AF patient and preventable stroke are reasonable. Published on behalf of the European Society of Cardiology. All rights reserved.
© The Author 2016. For permissions please email: journals.permissions@oup.com.

Entities:  

Keywords:  Atrial fibrillation; Cost-effectiveness; Electrocardiogram; Handheld ECG; Screening

Mesh:

Year:  2016        PMID: 26893496     DOI: 10.1093/europace/euw025

Source DB:  PubMed          Journal:  Europace        ISSN: 1099-5129            Impact factor:   5.214


  47 in total

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Review 6.  Smartphone-based Arrhythmia Detection: Should we encourage patients to use the ECG in their pocket?

Authors:  Ryan D White; Greg Flaker
Journal:  J Atr Fibrillation       Date:  2017-04-30

7.  Baseline Demographics, Safety, and Patient Acceptance of an Insertable Cardiac Monitor for Atrial Fibrillation Screening: The REVEAL-AF Study.

Authors:  Sergio Conti; James A Reiffel; Bernard J Gersh; Peter R Kowey; Rolf Wachter; Jonathan L Halperin; Rachelle E Kaplon; Erika Pouliot; Atul Verma
Journal:  J Atr Fibrillation       Date:  2017-02-28

8.  2021 ISHNE/HRS/EHRA/APHRS Expert Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia-Pacific Heart Rhythm Society.

Authors:  Niraj Varma; Iwona Cygankiewicz; Mintu P Turakhia; Hein Heidbuchel; Yu-Feng Hu; Lin Yee Chen; Jean-Philippe Couderc; Edmond M Cronin; Jerry D Estep; Lars Grieten; Deirdre A Lane; Reena Mehra; Alex Page; Rod Passman; Jonathan P Piccini; Ewa Piotrowicz; Ryszard Piotrowicz; Pyotr G Platonov; Antonio Luiz Ribeiro; Robert E Rich; Andrea M Russo; David Slotwiner; Jonathan S Steinberg; Emma Svennberg
Journal:  Circ Arrhythm Electrophysiol       Date:  2021-02-12

9.  Design and rationale of a pragmatic trial integrating routine screening for atrial fibrillation at primary care visits: The VITAL-AF trial.

Authors:  Jeffrey M Ashburner; Steven J Atlas; David D McManus; Yuchiao Chang; Ana T Trisini Lipsanopoulos; Leila H Borowsky; Wyliena Guan; Wei He; Patrick T Ellinor; Daniel E Singer; Steven A Lubitz
Journal:  Am Heart J       Date:  2019-06-22       Impact factor: 4.749

10.  Passive Detection of Atrial Fibrillation Using a Commercially Available Smartwatch.

Authors:  Geoffrey H Tison; José M Sanchez; Brandon Ballinger; Avesh Singh; Jeffrey E Olgin; Mark J Pletcher; Eric Vittinghoff; Emily S Lee; Shannon M Fan; Rachel A Gladstone; Carlos Mikell; Nimit Sohoni; Johnson Hsieh; Gregory M Marcus
Journal:  JAMA Cardiol       Date:  2018-05-01       Impact factor: 14.676

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