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Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Study.

Publication ,  Journal Article
Turakhia, MP; Desai, M; Hedlin, H; Rajmane, A; Talati, N; Ferris, T; Desai, S; Nag, D; Patel, M; Kowey, P; Rumsfeld, JS; Russo, AM; Hills, MT ...
Published in: Am Heart J
January 2019

BACKGROUND: Smartwatch and fitness band wearable consumer electronics can passively measure pulse rate from the wrist using photoplethysmography (PPG). Identification of pulse irregularity or variability from these data has the potential to identify atrial fibrillation or atrial flutter (AF, collectively). The rapidly expanding consumer base of these devices allows for detection of undiagnosed AF at scale. METHODS: The Apple Heart Study is a prospective, single arm pragmatic study that has enrolled 419,093 participants (NCT03335800). The primary objective is to measure the proportion of participants with an irregular pulse detected by the Apple Watch (Apple Inc, Cupertino, CA) with AF on subsequent ambulatory ECG patch monitoring. The secondary objectives are to: 1) characterize the concordance of pulse irregularity notification episodes from the Apple Watch with simultaneously recorded ambulatory ECGs; 2) estimate the rate of initial contact with a health care provider within 3 months after notification of pulse irregularity. The study is conducted virtually, with screening, consent and data collection performed electronically from within an accompanying smartphone app. Study visits are performed by telehealth study physicians via video chat through the app, and ambulatory ECG patches are mailed to the participants. CONCLUSIONS: The results of this trial will provide initial evidence for the ability of a smartwatch algorithm to identify pulse irregularity and variability which may reflect previously unknown AF. The Apple Heart Study will help provide a foundation for how wearable technology can inform the clinical approach to AF identification and screening.

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Published In

Am Heart J

DOI

EISSN

1097-6744

Publication Date

January 2019

Volume

207

Start / End Page

66 / 75

Location

United States

Related Subject Headings

  • Wearable Electronic Devices
  • Time Factors
  • Telemedicine
  • Smartphone
  • Prospective Studies
  • Patient Reported Outcome Measures
  • Patient Acceptance of Health Care
  • Mobile Applications
  • Humans
  • Electrocardiography, Ambulatory
 

Citation

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ICMJE
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Turakhia, M. P., Desai, M., Hedlin, H., Rajmane, A., Talati, N., Ferris, T., … Perez, M. V. (2019). Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Study. Am Heart J, 207, 66–75. https://doi.org/10.1016/j.ahj.2018.09.002
Turakhia, Mintu P., Manisha Desai, Haley Hedlin, Amol Rajmane, Nisha Talati, Todd Ferris, Sumbul Desai, et al. “Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Study.Am Heart J 207 (January 2019): 66–75. https://doi.org/10.1016/j.ahj.2018.09.002.
Turakhia MP, Desai M, Hedlin H, Rajmane A, Talati N, Ferris T, et al. Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Study. Am Heart J. 2019 Jan;207:66–75.
Turakhia, Mintu P., et al. “Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Study.Am Heart J, vol. 207, Jan. 2019, pp. 66–75. Pubmed, doi:10.1016/j.ahj.2018.09.002.
Turakhia MP, Desai M, Hedlin H, Rajmane A, Talati N, Ferris T, Desai S, Nag D, Patel M, Kowey P, Rumsfeld JS, Russo AM, Hills MT, Granger CB, Mahaffey KW, Perez MV. Rationale and design of a large-scale, app-based study to identify cardiac arrhythmias using a smartwatch: The Apple Heart Study. Am Heart J. 2019 Jan;207:66–75.
Journal cover image

Published In

Am Heart J

DOI

EISSN

1097-6744

Publication Date

January 2019

Volume

207

Start / End Page

66 / 75

Location

United States

Related Subject Headings

  • Wearable Electronic Devices
  • Time Factors
  • Telemedicine
  • Smartphone
  • Prospective Studies
  • Patient Reported Outcome Measures
  • Patient Acceptance of Health Care
  • Mobile Applications
  • Humans
  • Electrocardiography, Ambulatory