Literature DB >> 34950348

Diagnostic Utility of Smartwatch Technology for Atrial Fibrillation Detection - A Systematic Analysis.

Mehmet Ali Elbey1, Daisy Young2, Sri Harsha Kanuri1, Krishna Akella1, Ghulam Murtaza1, Jalaj Garg3, Donita Atkins4, Sudha Bommana4, Sharan Sharma4, Mohit Turagam5, Jayashree Pillarisetti6, Peter Park4, Rangarao Tummala4, Alap Shah4, Scott Koerber4, Poojita Shivamurthy4, Chandrasekhar Vasamreddy4, Rakesh Gopinathannair4, Dhanunjaya Lakkireddy4.   

Abstract

BACKGROUND: Smartphone technologies have been recently developed to assess heart rate and rhythm, but their role in accurately detecting atrial fibrillation (AF) remains unknown.
OBJECTIVE: We sought to perform a meta-analysis using prospective studies comparing Smartwatch technology with current monitoring standards for AF detection (ECG, Holter, Patch Monitor, ILR).
METHODS: We performed a comprehensive literature search for prospective studies comparing Smartwatch technology simultaneously with current monitoring standards (ECG, Holter, and Patch monitor) for AF detection since inception to November 25th, 2019. The outcome studied was the accuracy of AF detection. Accuracy was determined with concomitant usage of ECG monitoring, Holter monitoring, loop recorder, or patch monitoring.
RESULTS: A total of 9 observational studies were included comparing smartwatch technology, 3 using single-lead ECG monitoring, and six studies using photoplethysmography with routine AF monitoring strategies. A total of 1559 patients were enrolled (mean age 63.5 years, 39.5% had an AF history). The mean monitoring time was 75.6 days. Smartwatch was non-inferior to composite ECG monitoring strategies (OR 1.06, 95% CI 0.93 - 1.21, p=0.37), composite 12 lead ECG/Holter monitoring (OR 0.90, 95% CI 0.62 - 1.30, p=0.57) and patch monitoring (OR 1.28, 95% CI 0.84 - 1.94, p=0.24) for AF detection. The sensitivity and specificity for AF detection using a smartwatch was 95% and 94%, respectively.
CONCLUSIONS: Smartwatch based single-lead ECG and photoplethysmography appear to be reasonable alternatives for AF monitoring.

Entities:  

Keywords:  Atrial Fibrillation; Photoplethysmography; Smartwatch

Year:  2021        PMID: 34950348      PMCID: PMC8691284          DOI: 10.4022/jafib.20200446

Source DB:  PubMed          Journal:  J Atr Fibrillation        ISSN: 1941-6911


  42 in total

1.  Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses.

Authors:  Andreas Stang
Journal:  Eur J Epidemiol       Date:  2010-07-22       Impact factor: 8.082

2.  Targeted Anticoagulation for Atrial Fibrillation Guided by Continuous Rhythm Assessment With an Insertable Cardiac Monitor: The Rhythm Evaluation for Anticoagulation With Continuous Monitoring (REACT.COM) Pilot Study.

Authors:  Rod Passman; Peter Leong-Sit; Adin-Cristian Andrei; Anna Huskin; Todd T Tomson; Richard Bernstein; Ethan Ellis; Jonathan W Waks; Peter Zimetbaum
Journal:  J Cardiovasc Electrophysiol       Date:  2015-11-23

Review 3.  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

Review 4.  Transforming the care of atrial fibrillation with mobile health.

Authors:  Mintu P Turakhia; Daniel W Kaiser
Journal:  J Interv Card Electrophysiol       Date:  2016-06-15       Impact factor: 1.900

5.  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

6.  Clinical Implications of Brief Device-Detected Atrial Tachyarrhythmias in a Cardiac Rhythm Management Device Population: Results from the Registry of Atrial Tachycardia and Atrial Fibrillation Episodes.

Authors:  Steven Swiryn; Michael V Orlov; David G Benditt; John P DiMarco; Donald M Lloyd-Jones; Edward Karst; Fujian Qu; Mara T Slawsky; Melanie Turkel; Albert L Waldo
Journal:  Circulation       Date:  2016-10-18       Impact factor: 29.690

7.  Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation.

Authors:  Marco V Perez; Kenneth W Mahaffey; Haley Hedlin; John S Rumsfeld; Ariadna Garcia; Todd Ferris; Vidhya Balasubramanian; Andrea M Russo; Amol Rajmane; Lauren Cheung; Grace Hung; Justin Lee; Peter Kowey; Nisha Talati; Divya Nag; Santosh E Gummidipundi; Alexis Beatty; Mellanie True Hills; Sumbul Desai; Christopher B Granger; Manisha Desai; Mintu P Turakhia
Journal:  N Engl J Med       Date:  2019-11-14       Impact factor: 176.079

8.  Atrial Fibrillation Detection from Wrist Photoplethysmography Signals Using Smartwatches.

Authors:  Syed Khairul Bashar; Dong Han; Shirin Hajeb-Mohammadalipour; Eric Ding; Cody Whitcomb; David D McManus; Ki H Chon
Journal:  Sci Rep       Date:  2019-10-21       Impact factor: 4.379

9.  Smart detection of atrial fibrillation†.

Authors:  Lian Krivoshei; Stefan Weber; Thilo Burkard; Anna Maseli; Noe Brasier; Michael Kühne; David Conen; Thomas Huebner; Andrea Seeck; Jens Eckstein
Journal:  Europace       Date:  2017-05-01       Impact factor: 5.214

10.  Watch out for ST-elevation myocardial infarction: a case report of ST-elevation in single-lead electrocardiogram tracing of a smartwatch.

Authors:  Konstantin Stark; Thomas Czermak; Steffen Massberg; Martin Orban
Journal:  Eur Heart J Case Rep       Date:  2020-11-18
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