Literature DB >> 27179726

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.

Steven R Steinhubl1, Rajesh R Mehta2, Gail S Ebner3, Marissa M Ballesteros3, Jill Waalen3, Gregory Steinberg2, Percy Van Crocker2, Elise Felicione4, Chureen T Carter4, Shawn Edmonds2, Joseph P Honcz2, Gines Diego Miralles4, Dimitri Talantov4, Troy C Sarich4, Eric J Topol3.   

Abstract

Efficient methods for screening populations for undiagnosed atrial fibrillation (AF) are needed to reduce its associated mortality, morbidity, and costs. The use of digital technologies, including wearable sensors and large health record data sets allowing for targeted outreach toward individuals at increased risk for AF, might allow for unprecedented opportunities for effective, economical screening. The trial's primary objective is to determine, in a real-world setting, whether using wearable sensors in a risk-targeted screening population can diagnose asymptomatic AF more effectively than routine care. Additional key objectives include (1) exploring 2 rhythm-monitoring strategies-electrocardiogram-based and exploratory pulse wave-based-for detection of new AF, and (2) comparing long-term clinical and resource outcomes among groups. In all, 2,100 Aetna members will be randomized 1:1 to either immediate or delayed monitoring, in which a wearable patch will capture a single-lead electrocardiogram during the first and last 2 weeks of a 4-month period beginning immediately or 4 months after enrollment, respectively. An observational, risk factor-matched control group (n = 4,000) will be developed from members who did not receive an invitation to participate. The primary end point is the incidence of new AF in the immediate- vs delayed-monitoring arms at the end of the 4-month monitoring period. Additional efficacy and safety end points will be captured at 1 and 3 years. The results of this digital medicine trial might benefit a substantial proportion of the population by helping identify and refine screening methods for undiagnosed AF.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27179726     DOI: 10.1016/j.ahj.2016.02.011

Source DB:  PubMed          Journal:  Am Heart J        ISSN: 0002-8703            Impact factor:   4.749


  21 in total

1.  Highlights from the 2018 American College of Cardiology scientific session in Orlando, Florida.

Authors:  Dylan L Steen
Journal:  J Thromb Thrombolysis       Date:  2018-10       Impact factor: 2.300

Review 2.  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

Review 3.  The burden of proof: The current state of atrial fibrillation prevention and treatment trials.

Authors:  Rosita Zakeri; David R Van Wagoner; Hugh Calkins; Tom Wong; Heather M Ross; E Kevin Heist; Timothy E Meyer; Peter R Kowey; Robert J Mentz; John G Cleland; Bertram Pitt; Faiez Zannad; Cecilia Linde
Journal:  Heart Rhythm       Date:  2017-02-02       Impact factor: 6.343

Review 4.  Opportunistic atrial fibrillation screening and detection in "self-service health check-up stations": a brief overview of current technology potential and possibilities.

Authors:  Maged N Kamel Boulos; Guy Haywood
Journal:  Mhealth       Date:  2021-01-20

5.  Wearable sensors enable personalized predictions of clinical laboratory measurements.

Authors:  Jessilyn Dunn; Lukasz Kidzinski; Ryan Runge; Daniel Witt; Jennifer L Hicks; Sophia Miryam Schüssler-Fiorenza Rose; Xiao Li; Amir Bahmani; Scott L Delp; Trevor Hastie; Michael P Snyder
Journal:  Nat Med       Date:  2021-05-24       Impact factor: 53.440

6.  A Supervised Approach to Robust Photoplethysmography Quality Assessment.

Authors:  Tania Pereira; Kais Gadhoumi; Mitchell Ma; Xiuyun Liu; Ran Xiao; Rene A Colorado; Kevin J Keenan; Karl Meisel; Xiao Hu
Journal:  IEEE J Biomed Health Inform       Date:  2019-04-03       Impact factor: 7.021

7.  Usability of a Wrist-Worn Smartwatch in a Direct-to-Participant Randomized Pragmatic Clinical Trial.

Authors:  Michael Galarnyk; Giorgio Quer; Kathryn McLaughlin; Lauren Ariniello; Steven R Steinhubl
Journal:  Digit Biomark       Date:  2019-12-20

8.  Phenotypes of engagement with mobile health technology for heart rhythm monitoring.

Authors:  Jihui Lee; Meghan Reading Turchioe; Ruth Masterson Creber; Angelo Biviano; Kathleen Hickey; Suzanne Bakken
Journal:  JAMIA Open       Date:  2021-06-12

Review 9.  Returning Cardiac Rhythm Data to Patients: Opportunities and Challenges.

Authors:  Ruth Masterson Creber; Meghan Reading Turchioe
Journal:  Card Electrophysiol Clin       Date:  2021-07-02

10.  The Atrial Fibrillation Health Literacy Information Technology System: Pilot Assessment.

Authors:  Jared W Magnani; Courtney L Schlusser; Everlyne Kimani; Bruce L Rollman; Michael K Paasche-Orlow; Timothy W Bickmore
Journal:  JMIR Cardio       Date:  2017-12-12
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