Literature DB >> 33634195

Opportunistic atrial fibrillation screening and detection in "self-service health check-up stations": a brief overview of current technology potential and possibilities.

Maged N Kamel Boulos1, Guy Haywood2.   

Abstract

Up to a fifth of patients who suffer a stroke had undiagnosed atrial fibrillation (AF). About 30% of AF patients are asymptomatic and remain undiagnosed, so there are no obvious (to the patient) forewarnings. Opportunistic screening for AF applied to the above clinical situation can save lives, since the strokes that occur as a result of AF are often large, severely debilitating or fatal. Today, anyone can buy a good, FDA-approved mobile electrocardiogram (ECG) device/smartwatch for AF detection on Amazon for €100-400, but not very many asymptomatic AF patients, particularly older patients, will do so on their own. In this article, we introduce the concept and potential benefits of opportunistic AF screening and detection in a community setting using the latest generation of affordable digital ECG capture and interpretation solutions integrated into easy-to-use "self-service health check-up stations" installed in public spaces, such as supermarkets and pharmacies. A comprehensive trial of the proposed self-service health check-up stations for AF screening is needed to produce more evidence to convince decision makers to fully buy into the idea of a nation-wide screening programme using these kiosks. 2021 mHealth. All rights reserved.

Entities:  

Keywords:  Atrial fibrillation (AF); digital health; electrocardiogram (ECG); opportunistic atrial fibrillation screening; self-service health check-up stations

Year:  2021        PMID: 33634195      PMCID: PMC7882265          DOI: 10.21037/mhealth-19-204

Source DB:  PubMed          Journal:  Mhealth        ISSN: 2306-9740


  26 in total

1.  How much atrial fibrillation is too much atrial fibrillation?

Authors:  Gervasio Lamas
Journal:  N Engl J Med       Date:  2012-01-12       Impact factor: 91.245

2.  A randomised controlled trial and cost-effectiveness study of systematic screening (targeted and total population screening) versus routine practice for the detection of atrial fibrillation in people aged 65 and over. The SAFE study.

Authors:  F D R Hobbs; D A Fitzmaurice; J Mant; E Murray; S Jowett; S Bryan; J Raftery; M Davies; G Lip
Journal:  Health Technol Assess       Date:  2005-10       Impact factor: 4.014

3.  Mobile-ECG screening in rural pharmacies: rates of atrial fibrillation and associated risk factors.

Authors:  Caley M Kropp; Nichelle L Huber; David Sager; Connor Tripp; Ashley Burch; Aditi Naniwadekar; Rajasekhar Nekkanti; Murrium I Sadaf; J Paul Mounsey; Samuel F Sears
Journal:  Heart Lung       Date:  2020-02-01       Impact factor: 2.210

4.  High-Throughput, Contact-Free Detection of Atrial Fibrillation From Video With Deep Learning.

Authors:  Bryan P Yan; William H S Lai; Christy K Y Chan; Alex C K Au; Ben Freedman; Yukkee C Poh; Ming-Zher Poh
Journal:  JAMA Cardiol       Date:  2020-01-01       Impact factor: 14.676

5.  Smartwatch Algorithm for Automated Detection of Atrial Fibrillation.

Authors:  Joseph M Bumgarner; Cameron T Lambert; Ayman A Hussein; Daniel J Cantillon; Bryan Baranowski; Kathy Wolski; Bruce D Lindsay; Oussama M Wazni; Khaldoun G Tarakji
Journal:  J Am Coll Cardiol       Date:  2018-03-10       Impact factor: 24.094

6.  Rationale and design of a home-based trial using wearable sensors to detect asymptomatic atrial fibrillation in a targeted population: The mHealth Screening To Prevent Strokes (mSToPS) trial.

Authors:  Steven R Steinhubl; Rajesh R Mehta; Gail S Ebner; Marissa M Ballesteros; Jill Waalen; Gregory Steinberg; Percy Van Crocker; Elise Felicione; Chureen T Carter; Shawn Edmonds; Joseph P Honcz; Gines Diego Miralles; Dimitri Talantov; Troy C Sarich; Eric J Topol
Journal:  Am Heart J       Date:  2016-02-23       Impact factor: 4.749

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.  Stroke-independent contribution of atrial fibrillation to dementia: a meta-analysis.

Authors:  Andrea Saglietto; Mario Matta; Fiorenzo Gaita; Victoria Jacobs; Thomas Jared Bunch; Matteo Anselmino
Journal:  Open Heart       Date:  2019-05-02

9.  A mobile one-lead ECG device incorporated in a symptom-driven remote arrhythmia monitoring program. The first 5,982 Hartwacht ECGs.

Authors:  J L Selder; L Breukel; S Blok; A C van Rossum; I I Tulevski; C P Allaart
Journal:  Neth Heart J       Date:  2019-01       Impact factor: 2.380

10.  Accuracy and Usability of a Novel Algorithm for Detection of Irregular Pulse Using a Smartwatch Among Older Adults: Observational Study.

Authors:  Eric Y Ding; Dong Han; Cody Whitcomb; Syed Khairul Bashar; Oluwaseun Adaramola; Apurv Soni; Jane Saczynski; Timothy P Fitzgibbons; Majaz Moonis; Steven A Lubitz; Darleen Lessard; Mellanie True Hills; Bruce Barton; Ki Chon; David D McManus
Journal:  JMIR Cardio       Date:  2019-05-15
View more
  1 in total

Review 1.  Trends and Challenges of Wearable Multimodal Technologies for Stroke Risk Prediction.

Authors:  Yun-Hsuan Chen; Mohamad Sawan
Journal:  Sensors (Basel)       Date:  2021-01-11       Impact factor: 3.576

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.