Atrial Fibrillation New Onset Clinical Trial
Official title:
Screening for Atrial Fibrillation With Self Pulse Monitoring in Patients at Increased Risk of Stroke
NCT number | NCT05818592 |
Other study ID # | 19-2254 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | September 21, 2020 |
Est. completion date | May 31, 2022 |
Verified date | April 2023 |
Source | University of North Carolina, Chapel Hill |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
The goal of this clinical trial is to determine the efficacy of self-pulse monitoring in detecting atrial fibrillation (AF) in adult patients at increased risk of stroke. The main questions it aims to answer are: - Is self-screening an effective modality for diagnosis of AF? - Are there clinical differences and outcomes for patients who self-screen? Eligible participants will be randomized to either the intervention group or control group. The control group will continue with usual standard of care. Participants randomized to the intervention group will be asked to: - View an online educational video to teach them the appropriate way to manually check their pulse for irregularities. - Manually check their pulse for 30 seconds twice daily for 14 days. - Patients who screen positive for irregularities will be sent a 14-day wearable cardiac monitor to assess for underlying arrhythmias. Researchers will compare the intervention group to the control group to see if there are clinical differences and outcomes.
Status | Completed |
Enrollment | 526 |
Est. completion date | May 31, 2022 |
Est. primary completion date | May 31, 2022 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Age 18 or greater - No known history of atrial fibrillation or atrial flutter - Access to MyChart - CHA2DS2-VASc sore (described below) >/= 2 (male) or >/=3 (female) based on the following criteria: - Two points: Age =75, prior stroke - One point: Age =65-74, congestive heart failure, hypertension, diabetes, vascular disease Exclusion Criteria: - Prior diagnosis of atrial fibrillation or atrial flutter - Unable to consent - Currently incarcerated - Self-pay/uninsured - Taking anticoagulation for other medical conditions than atrial fibrillation or atrial flutter |
Country | Name | City | State |
---|---|---|---|
United States | University of North Carolina, Chapel Hill | Chapel Hill | North Carolina |
Lead Sponsor | Collaborator |
---|---|
University of North Carolina, Chapel Hill | Bristol-Myers Squibb Foundation |
United States,
Engdahl J, Andersson L, Mirskaya M, Rosenqvist M. Stepwise screening of atrial fibrillation in a 75-year-old population: implications for stroke prevention. Circulation. 2013 Feb 26;127(8):930-7. doi: 10.1161/CIRCULATIONAHA.112.126656. Epub 2013 Jan 23. — View Citation
Freedman B, Camm J, Calkins H, Healey JS, Rosenqvist M, Wang J, Albert CM, Anderson CS, Antoniou S, Benjamin EJ, Boriani G, Brachmann J, Brandes A, Chao TF, Conen D, Engdahl J, Fauchier L, Fitzmaurice DA, Friberg L, Gersh BJ, Gladstone DJ, Glotzer TV, Gwynne K, Hankey GJ, Harbison J, Hillis GS, Hills MT, Kamel H, Kirchhof P, Kowey PR, Krieger D, Lee VWY, Levin LA, Lip GYH, Lobban T, Lowres N, Mairesse GH, Martinez C, Neubeck L, Orchard J, Piccini JP, Poppe K, Potpara TS, Puererfellner H, Rienstra M, Sandhu RK, Schnabel RB, Siu CW, Steinhubl S, Svendsen JH, Svennberg E, Themistoclakis S, Tieleman RG, Turakhia MP, Tveit A, Uittenbogaart SB, Van Gelder IC, Verma A, Wachter R, Yan BP; AF-Screen Collaborators. Screening for Atrial Fibrillation: A Report of the AF-SCREEN International Collaboration. Circulation. 2017 May 9;135(19):1851-1867. doi: 10.1161/CIRCULATIONAHA.116.026693. — View Citation
Lowres N, Neubeck L, Redfern J, Freedman SB. Screening to identify unknown atrial fibrillation. A systematic review. Thromb Haemost. 2013 Aug;110(2):213-22. doi: 10.1160/TH13-02-0165. Epub 2013 Apr 18. — View Citation
Steinhubl SR, Waalen J, Edwards AM, Ariniello LM, Mehta RR, Ebner GS, Carter C, Baca-Motes K, Felicione E, Sarich T, Topol EJ. Effect of a Home-Based Wearable Continuous ECG Monitoring Patch on Detection of Undiagnosed Atrial Fibrillation: The mSToPS Randomized Clinical Trial. JAMA. 2018 Jul 10;320(2):146-155. doi: 10.1001/jama.2018.8102. — View Citation
Svennberg E, Engdahl J, Al-Khalili F, Friberg L, Frykman V, Rosenqvist M. Mass Screening for Untreated Atrial Fibrillation: The STROKESTOP Study. Circulation. 2015 Jun 23;131(25):2176-84. doi: 10.1161/CIRCULATIONAHA.114.014343. Epub 2015 Apr 24. — View Citation
US Preventive Services Task Force; Curry SJ, Krist AH, Owens DK, Barry MJ, Caughey AB, Davidson KW, Doubeni CA, Epling JW Jr, Kemper AR, Kubik M, Landefeld CS, Mangione CM, Silverstein M, Simon MA, Tseng CW, Wong JB. Screening for Atrial Fibrillation With Electrocardiography: US Preventive Services Task Force Recommendation Statement. JAMA. 2018 Aug 7;320(5):478-484. doi: 10.1001/jama.2018.10321. — View Citation
Yaghi S, Kamel H. Stratifying Stroke Risk in Atrial Fibrillation: Beyond Clinical Risk Scores. Stroke. 2017 Oct;48(10):2665-2670. doi: 10.1161/STROKEAHA.117.017084. Epub 2017 Sep 15. No abstract available. Erratum In: Stroke. 2017 Dec;48(12 ):e368. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Number of participants diagnosed with AF in intervention group who screened positive. | Participants assigned to the intervention group are instructed on how to manually check their pulse to detect irregularities. Those who screen positive for irregularities will be sent a 14-day wearable cardiac monitor to confirm diagnosis of AF. Diagnosis of AF can also be confirmed by electrocardiogram (ECG) at an outpatient clinic visit. | 6 weeks | |
Secondary | Total number of participants diagnosed with AF | Participant data will be collected from the electronic health record one year after randomization to assess how many participants from each arm are subsequently diagnosed with AF. | 1-year | |
Secondary | Amount of time in days to diagnosis of AF from randomization | Participant data will be collected from the electronic health record one year after randomization to assess how many participants from each arm are subsequently diagnosed with AF. For participants with a diagnosis of AF, the time in days from randomization to diagnosis will be calculated. | 1-year | |
Secondary | Number of participants prescribed anticoagulation | Participant data will be collected from the electronic health record one year after randomization to assess how many participants are prescribed anticoagulation medications. | 1-year | |
Secondary | Number of participants with stroke, transient ischemic attack (TIA), or systemic embolism | Participant data will be collected from the electronic health record one year after randomization to assess how many participants have a diagnosis of stroke, TIA, or systemic embolism. | 1-year |
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