Accuracy of Rhythm Detection by a Wearable Smart Watch for Cardiac Arrhythmias (The WATCH-RHYTHM Study)

NCT ID: NCT04499807

Last Updated: 2023-03-10

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

TERMINATED

Clinical Phase

NA

Total Enrollment

16 participants

Study Classification

INTERVENTIONAL

Study Start Date

2021-01-06

Study Completion Date

2021-03-16

Brief Summary

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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.

Detailed Description

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The sensitivity, specificity, positive and negative predictive values for successful identification of normal sinus rhythm, atrial fibrillation and other rhythm disorders from the smart watch will compared to that of an ILR.

Conditions

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Atrial Fibrillation

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

OTHER

Blinding Strategy

NONE

Study Groups

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Smart Watch

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

Group Type OTHER

AFib detection with wearable smart watch

Intervention Type OTHER

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.

Interventions

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AFib detection with wearable smart watch

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.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* 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

Exclusion Criteria

* 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
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Kansas City Heart Rhythm Research Foundation

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Dhanunjaya Lakkireddy

Role: PRINCIPAL_INVESTIGATOR

Kansas City Heart Rhythm Institute

Locations

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Kansas City Heart Rhythm Institute

Overland Park, Kansas, United States

Site Status

Countries

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United States

References

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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.

Reference Type BACKGROUND
PMID: 19932788 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 23831166 (View on PubMed)

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

Reference Type BACKGROUND
PMID: 18383050 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 19843914 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 27567408 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 29048522 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 22441062 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 19104573 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 26391728 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 23220686 (View on PubMed)

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.

Reference Type BACKGROUND
PMID: 31722151 (View on PubMed)

Related Links

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https://www.fda.gov/media/136290/download

Enforcement Policy for Non-Invasive Remote Monitoring Devices Used to Support Patient Monitoring During the Coronavirus Disease 2019 (COVID-19) Public Health Emergency (Revised)

Other Identifiers

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KCHRF-WATCH RHYTHM-0006

Identifier Type: -

Identifier Source: org_study_id

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