NCT04499807

Brief Summary

It is an attempt to see the reliability of the Wearable Smart Watch in identifying atrial fibrillation and other arrhythmias compared to the data detected from ILRs.

Trial Health

57
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
16

participants targeted

Target at below P25 for not_applicable atrial-fibrillation

Timeline
Completed

Started Jan 2021

Shorter than P25 for not_applicable atrial-fibrillation

Geographic Reach
1 country

1 active site

Status
terminated

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

July 29, 2020

Completed
7 days until next milestone

First Posted

Study publicly available on registry

August 5, 2020

Completed
5 months until next milestone

Study Start

First participant enrolled

January 6, 2021

Completed
2 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 16, 2021

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

March 16, 2021

Completed
Last Updated

March 10, 2023

Status Verified

September 1, 2021

Enrollment Period

2 months

First QC Date

July 29, 2020

Last Update Submit

March 8, 2023

Conditions

Keywords

Wearable technologySmart WatchILRAFib detection

Outcome Measures

Primary Outcomes (1)

  • AFib detection with heart rate data measured by Smart Watch

    Heart rate data generated by Smart Watch is used to assess their rhythm as confirmed by the ILR done during the same time.

    5 months

Study Arms (1)

Smart Watch

OTHER

The patients will wear the Smart Watch to generate data to assess their rhythm as confirmed by the ILR done during the same time.

Other: AFib detection with wearable smart watch

Interventions

Patients will transmit two rhythm strips every day through both the devices and additional transmission whenever they have symptoms (palpitations, skipped beats, shortness of breath and chest pain). The transmitted rhythm strips are de-identified and analyzed after assigning a unique ID for research purposes.

Smart Watch

Eligibility Criteria

Age18 Years - 80 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Age over 18 years old
  • Patients who have an implantable loop recorder for heart rhythm monitoring purposes
  • Having IOS iphone device that can be integrated into Apple Watch
  • Willing to sign a consent form and participate in the study

You may not qualify if:

  • Hemodynamically unstable patients
  • Over 90 years of age
  • Presence of wrist tattoos
  • Presence of AV fistula on the wrist on which the wearable is worn. (If the contralateral wrist is unaffected, those patients can be included)
  • Presence of Implantable Cardiac Pacemaker and/or ICD
  • Patients with Parkinsons disease or tremors

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Kansas City Heart Rhythm Institute

Overland Park, Kansas, 66211, United States

Location

Related Publications (11)

  • Naccarelli GV, Varker H, Lin J, Schulman KL. Increasing prevalence of atrial fibrillation and flutter in the United States. Am J Cardiol. 2009 Dec 1;104(11):1534-9. doi: 10.1016/j.amjcard.2009.07.022.

    PMID: 19932788BACKGROUND
  • Colilla S, Crow A, Petkun W, Singer DE, Simon T, Liu X. Estimates of current and future incidence and prevalence of atrial fibrillation in the U.S. adult population. Am J Cardiol. 2013 Oct 15;112(8):1142-7. doi: 10.1016/j.amjcard.2013.05.063. Epub 2013 Jul 4.

    PMID: 23831166BACKGROUND
  • Savelieva I, Camm J. Update on atrial fibrillation: part II. Clin Cardiol. 2008 Mar;31(3):102-8. doi: 10.1002/clc.20136.

    PMID: 18383050BACKGROUND
  • Glotzer TV, Daoud EG, Wyse DG, Singer DE, Ezekowitz MD, Hilker C, Miller C, Qi D, Ziegler PD. The relationship between daily atrial tachyarrhythmia burden from implantable device diagnostics and stroke risk: the TRENDS study. Circ Arrhythm Electrophysiol. 2009 Oct;2(5):474-80. doi: 10.1161/CIRCEP.109.849638. Epub 2009 Aug 4.

    PMID: 19843914BACKGROUND
  • Kirchhof P, Benussi S, Kotecha D, Ahlsson A, Atar D, Casadei B, Castella M, Diener HC, Heidbuchel H, Hendriks J, Hindricks G, Manolis AS, Oldgren J, Popescu BA, Schotten U, Van Putte B, Vardas P; ESC Scientific Document Group. 2016 ESC Guidelines for the management of atrial fibrillation developed in collaboration with EACTS. Eur Heart J. 2016 Oct 7;37(38):2893-2962. doi: 10.1093/eurheartj/ehw210. Epub 2016 Aug 27. No abstract available.

    PMID: 27567408BACKGROUND
  • Mairesse GH, Moran P, Van Gelder IC, Elsner C, Rosenqvist M, Mant J, Banerjee A, Gorenek B, Brachmann J, Varma N, Glotz de Lima G, Kalman J, Claes N, Lobban T, Lane D, Lip GYH, Boriani G; ESC Scientific Document Group. Screening for atrial fibrillation: a European Heart Rhythm Association (EHRA) consensus document endorsed by the Heart Rhythm Society (HRS), Asia Pacific Heart Rhythm Society (APHRS), and Sociedad Latinoamericana de Estimulacion Cardiaca y Electrofisiologia (SOLAECE). Europace. 2017 Oct 1;19(10):1589-1623. doi: 10.1093/europace/eux177. No abstract available.

    PMID: 29048522BACKGROUND
  • Stott DJ, Dewar RI, Garratt CJ, Griffith KE, Harding NJ, James MA, Lane DA, Petty DR, Smith PA, Somerville MH, Trueland J. RCPE UK Consensus Conference on 'approaching the comprehensive management of atrial fibrillation: evolution or revolution?'. J R Coll Physicians Edinb. 2012 Mar;42(1):34-5. doi: 10.4997/JRCPE.2012.S01. No abstract available.

    PMID: 22441062BACKGROUND
  • Verkruysse W, Svaasand LO, Nelson JS. Remote plethysmographic imaging using ambient light. Opt Express. 2008 Dec 22;16(26):21434-45. doi: 10.1364/oe.16.021434.

    PMID: 19104573BACKGROUND
  • McMANUS DD, Chong JW, Soni A, Saczynski JS, Esa N, Napolitano C, Darling CE, Boyer E, Rosen RK, Floyd KC, Chon KH. PULSE-SMART: Pulse-Based Arrhythmia Discrimination Using a Novel Smartphone Application. J Cardiovasc Electrophysiol. 2016 Jan;27(1):51-7. doi: 10.1111/jce.12842. Epub 2015 Nov 13.

    PMID: 26391728BACKGROUND
  • McManus DD, Lee J, Maitas O, Esa N, Pidikiti R, Carlucci A, Harrington J, Mick E, Chon KH. A novel application for the detection of an irregular pulse using an iPhone 4S in patients with atrial fibrillation. Heart Rhythm. 2013 Mar;10(3):315-9. doi: 10.1016/j.hrthm.2012.12.001. Epub 2012 Dec 6.

    PMID: 23220686BACKGROUND
  • Perez MV, Mahaffey KW, Hedlin H, Rumsfeld JS, Garcia A, Ferris T, Balasubramanian V, Russo AM, Rajmane A, Cheung L, Hung G, Lee J, Kowey P, Talati N, Nag D, Gummidipundi SE, Beatty A, Hills MT, Desai S, Granger CB, Desai M, Turakhia MP; Apple Heart Study Investigators. Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation. N Engl J Med. 2019 Nov 14;381(20):1909-1917. doi: 10.1056/NEJMoa1901183.

    PMID: 31722151BACKGROUND

Related Links

MeSH Terms

Conditions

Atrial Fibrillation

Condition Hierarchy (Ancestors)

Arrhythmias, CardiacHeart DiseasesCardiovascular DiseasesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Dhanunjaya Lakkireddy

    Kansas City Heart Rhythm Institute

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
interventional
Phase
not applicable
Allocation
NA
Masking
NONE
Purpose
OTHER
Intervention Model
SINGLE GROUP
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

July 29, 2020

First Posted

August 5, 2020

Study Start

January 6, 2021

Primary Completion

March 16, 2021

Study Completion

March 16, 2021

Last Updated

March 10, 2023

Record last verified: 2021-09

Data Sharing

IPD Sharing
Will not share

Locations