Atrial FibrillationNCT04499807
Accuracy of Rhythm Detection by a Wearable Smart Watch for Cardiac Arrhythmias (The WATCH-RHYTHM Study)
A study testing AFib detection with wearable smart watch in people with Atrial Fibrillation, run by Kansas City Heart Rhythm Research Foundation at 1 site in United States.
Trial 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. Read more about this study
- Who is it for?
- Ages 18 to 80 years
- Conditions the study is for
- Atrial Fibrillation
- What is being tested?
- AFib detection with wearable smart watch
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 16 participants
- Where
- 1 siteUnited States
- Study dates
- 6 Jan 2021to 16 Mar 2021
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 80 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- 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
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country.
United States1 site
Kansas City Heart Rhythm Institute
Overland Park, Kansas, 66211
About this study
Official title: Accuracy of Rhythm Detection and Managing Data Deluge by a Wearable Smart Watch for Cardiac Arrhythmias (The WATCH-RHYTHM Study)
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.
Read the detailed description
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
- Atrial Fibrillation
- Being tested
- AFib detection with wearable smart watch
- Keywords
- Wearable technology, Smart Watch, ILR, AFib detection
- Medical subject headings
- Atrial Fibrillation
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AFib detection with wearable smart watchOther
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.
| Study group | Role | What they receive |
|---|---|---|
| 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. Receives: Other: AFib detection with wearable smart watch |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 5 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted5 Aug 2020
- Study start6 Jan 2021
- Primary completion16 Mar 2021
- Study completion16 Mar 2021
Why it 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.
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (11)Papers the sponsor has linked to this study.
- Other trials for Atrial FibrillationStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 16 participants (actual)
Sponsor and investigators
- Lead sponsor
- Kansas City Heart Rhythm Research Foundation
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Dhanunjaya Lakkireddy, Principal investigator, Kansas City Heart Rhythm Institute
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04499807
- Sponsor's protocol ID
- KCHRF-WATCH RHYTHM-0006
- Status last verified
- Sep 2021
- First submitted
- 29 Jul 2020
- Last updated
- 10 Mar 2023
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
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.
PubMed 19932788Colilla 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.
PubMed 23831166Savelieva I, Camm J. Update on atrial fibrillation: part II. Clin Cardiol. 2008 Mar;31(3):102-8. doi: 10.1002/clc.20136.
PubMed 18383050Glotzer 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.
PubMed 19843914Kirchhof 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.
PubMed 27567408Mairesse 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.
PubMed 29048522Stott 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.
PubMed 22441062Verkruysse 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.
PubMed 19104573McMANUS 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.
PubMed 26391728McManus 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.
PubMed 23220686Perez 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.
PubMed 31722151
Study at a glance
From the registry record, last updated by the sponsor on 10 Mar 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Accuracy of Rhythm Detection and Managing Data Deluge by a Wearable Smart Watch for Cardiac Arrhythmias (The WATCH-RHYTHM Study)
- ClinicalTrials.gov ID
- NCT04499807
- Acronym / sponsor ID
- KCHRF-WATCH RHYTHM-0006
- Conditions
- Atrial Fibrillation
- Keywords
- Wearable technology, Smart Watch, ILR, AFib detection
- Study type
- Interventional
- Recruitment status
- TerminatedReason 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.
- Enrolment
- 16 participants (actual)
- Lead sponsor
- Kansas City Heart Rhythm Research FoundationUniversity, hospital or other
- Study start
- 6 Jan 2021 (actual)
- Primary completion
- 16 Mar 2021 (actual)
- Study completion
- 16 Mar 2021 (actual)
- First posted
- 5 Aug 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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
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.
Study design
- Primary purpose
- Other
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Smart Watch | Other | Other: AFib detection with wearable smart watchThe patients will wear the Smart Watch to generate data to assess their rhythm as confirmed by the ILR done during the same time. |
Who may qualify
- Ages
- 18 to 80 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (4 listed)
- 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
Key exclusion criteria (6 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| AFib detection with wearable smart watchPatients 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. | Other | Smart Watch |
Primary outcome
AFib detection with heart rate data measured by Smart Watch
Time frame: 5 months
Heart rate data generated by Smart Watch is used to assess their rhythm as confirmed by the ILR done during the same time.
Results and safety
The study was stopped early (reason given: 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.). Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 10 Mar 2023.
- Background: PubMed 19932788Naccarelli 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.
- Background: PubMed 23831166Colilla 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.
- Background: PubMed 18383050Savelieva I, Camm J. Update on atrial fibrillation: part II. Clin Cardiol. 2008 Mar;31(3):102-8. doi: 10.1002/clc.20136.
- Background: PubMed 19843914Glotzer 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.
- Background: PubMed 27567408Kirchhof 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.
- Background: PubMed 29048522Mairesse 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.
- Background: PubMed 22441062Stott 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.
- Background: PubMed 19104573Verkruysse 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.
- Background: PubMed 26391728McMANUS 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.
- Background: PubMed 23220686McManus 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.
- Background: PubMed 31722151Perez 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.
- Enforcement Policy for Non-Invasive Remote Monitoring Devices Used to Support Patient Monitoring During the Coronavirus Disease 2019 (COVID-19) Public Health Emergency (Revised)Link provided by the sponsor.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Dhanunjaya Lakkireddy principal investigator
Kansas City Heart Rhythm Institute
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing AFib detection with wearable smart watch in people with Atrial Fibrillation, run by Kansas City Heart Rhythm Research Foundation at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 4 inclusion and 6 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: stopped early, as of the sponsor's last update on 10 Mar 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study was stopped early (reason given: 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.). Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
AFib detection with heart rate data measured by Smart Watch (time frame: 5 months). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04499807, which also lists 11 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 10 Mar 2023.