Study Stopped
Stopped because after we started enrolling we realized that we could not get the information that we wanted out of the current protocol. The information we wanted to compare would not be able to be collected.
Accuracy of Rhythm Detection by a Wearable Smart Watch for Cardiac Arrhythmias (The WATCH-RHYTHM Study)
Accuracy of Rhythm Detection and Managing Data Deluge by a Wearable Smart Watch for Cardiac Arrhythmias (The WATCH-RHYTHM Study)
1 other identifier
interventional
16
1 country
1
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
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable atrial-fibrillation
Started Jan 2021
Shorter than P25 for not_applicable atrial-fibrillation
1 active site
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
CompletedFirst Posted
Study publicly available on registry
August 5, 2020
CompletedStudy Start
First participant enrolled
January 6, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 16, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
March 16, 2021
CompletedMarch 10, 2023
September 1, 2021
2 months
July 29, 2020
March 8, 2023
Conditions
Keywords
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
OTHERThe patients will wear the Smart Watch to generate data to assess their rhythm as confirmed by the ILR done during the same time.
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.
Eligibility Criteria
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
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: 19932788BACKGROUNDColilla 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: 23831166BACKGROUNDSavelieva I, Camm J. Update on atrial fibrillation: part II. Clin Cardiol. 2008 Mar;31(3):102-8. doi: 10.1002/clc.20136.
PMID: 18383050BACKGROUNDGlotzer 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: 19843914BACKGROUNDKirchhof 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: 27567408BACKGROUNDMairesse 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: 29048522BACKGROUNDStott 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: 22441062BACKGROUNDVerkruysse 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: 19104573BACKGROUNDMcMANUS 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: 26391728BACKGROUNDMcManus 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: 23220686BACKGROUNDPerez 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
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Dhanunjaya Lakkireddy
Kansas City Heart Rhythm Institute
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