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| Name | Class |
|---|---|
| Heart Health Research Center | OTHER |
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Atrial fibrillation (AF) is a serious public health problem because of its increasing incidence and prevalence in the aging population. ECG is the most commonly used gold standard for clinical diagnosis of arrhythmias, but conventional ECG examinations are not adequate for long-term ECG follow-up measurements in patients with AF.
In this study, the AF patients will wear an watch and ECG patch to continuously monitor ECG and PPG. The software uses an integrated diagnostic mechanism of "AF burden + AF segments" to efficiently analyze ECG and PPG data, which can quickly and accurately identify the occurrence of AF and analyze AF burden in real-time, facilitating physicians' diagnosis and treatment and efficacy assessment.
PPG-AF study is a Cohort randomized observational study.The trial will include patients with AF who meet the study requirements from Beijing Anzhen Hospital within 2 months. Each participant will wear an watch and ECG monitor after admission to hospital until Radiofrequency ablation for AF, and after AF ablation until discharge. And more than 18 hours in each period.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| ECG/PPG monitoring | Device | The enrolled patients will wear an "ECG patch" and watch at the same time to collect ECG and PPG data respectively. The data collection time is from the day of hospitalization to before the ablation operation, and from 2 hours after the removal of ECG monitoring equipment to before leaving the hospital. The monitoring duration of each patient shall not be less than 18 hours. |
| Measure | Description | Time Frame |
|---|---|---|
| The ECG and PPG data are automatically analyzed by the AF analysis software. | The results are compared with expert-annotated gold standard results to verify the sensitivity and specificity. | Two months after enrollment of the first subject |
| Measure | Description | Time Frame |
|---|---|---|
| The AF burden calculated from PPG data is compared with that from ECG monitoring. | The AF burden calculated from PPG data is compared with that from ECG monitoring, to verify the feasibility of daily monitoring of AF burden using PPG analysis. | Two months after enrollment of the first subject |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with atrial fibrillation who were hospitalized in the Department of Cardiology, Beijing Anzhen Hospital, aged from 18 to 80,were included in the study.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Chang Sh Ma, Dr. | Contact | 86-010-64412431 | chshma@vip.sina.com |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Beijing Anzhen Hospital | Recruiting | Beijing | Beijing Municipality | China |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 25520374 | Background | Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, de Ferranti S, Despres JP, Fullerton HJ, Howard VJ, Huffman MD, Judd SE, Kissela BM, Lackland DT, Lichtman JH, Lisabeth LD, Liu S, Mackey RH, Matchar DB, McGuire DK, Mohler ER 3rd, Moy CS, Muntner P, Mussolino ME, Nasir K, Neumar RW, Nichol G, Palaniappan L, Pandey DK, Reeves MJ, Rodriguez CJ, Sorlie PD, Stein J, Towfighi A, Turan TN, Virani SS, Willey JZ, Woo D, Yeh RW, Turner MB; American Heart Association Statistics Committee and Stroke Statistics Subcommittee. Heart disease and stroke statistics--2015 update: a report from the American Heart Association. Circulation. 2015 Jan 27;131(4):e29-322. doi: 10.1161/CIR.0000000000000152. Epub 2014 Dec 17. No abstract available. | |
| 30049467 |
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| ID | Term |
|---|---|
| D001281 | Atrial Fibrillation |
| ID | Term |
|---|---|
| D001145 | Arrhythmias, Cardiac |
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D010335 | Pathologic Processes |
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| Beijing Anzhen Hospital | Recruiting | Beijing | Beijing Municipality | China |
|
| Background |
| Wang Z, Chen Z, Wang X, Zhang L, Li S, Tian Y, Shao L, Hu H, Gao R; for China Hypertension Survey Group. The Disease Burden of Atrial Fibrillation in China from a National Cross-sectional Survey. Am J Cardiol. 2018 Sep 1;122(5):793-798. doi: 10.1016/j.amjcard.2018.05.015. Epub 2018 Jun 2. |
| 23364221 | Background | Andrew NE, Thrift AG, Cadilhac DA. The prevalence, impact and economic implications of atrial fibrillation in stroke: what progress has been made? Neuroepidemiology. 2013;40(4):227-39. doi: 10.1159/000343667. Epub 2013 Jan 24. |
| 15879330 | Background | Marini C, De Santis F, Sacco S, Russo T, Olivieri L, Totaro R, Carolei A. Contribution of atrial fibrillation to incidence and outcome of ischemic stroke: results from a population-based study. Stroke. 2005 Jun;36(6):1115-9. doi: 10.1161/01.STR.0000166053.83476.4a. Epub 2005 May 5. |
| 31869399 | Background | Witassek F, Springer A, Adam L, Aeschbacher S, Beer JH, Blum S, Bonati LH, Conen D, Kobza R, Kuhne M, Moschovitis G, Osswald S, Rodondi N, Sticherling C, Szucs T, Schwenkglenks M; Swiss-AF study investigators. Health-related quality of life in patients with atrial fibrillation: The role of symptoms, comorbidities, and the type of atrial fibrillation. PLoS One. 2019 Dec 23;14(12):e0226730. doi: 10.1371/journal.pone.0226730. eCollection 2019. |
| 23220686 | Background | 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. |
| 28483832 | Background | 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. |
| 31722151 | Background | 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. |
| 31113234 | Background | Wasserlauf J, You C, Patel R, Valys A, Albert D, Passman R. Smartwatch Performance for the Detection and Quantification of Atrial Fibrillation. Circ Arrhythm Electrophysiol. 2019 Jun;12(6):e006834. doi: 10.1161/CIRCEP.118.006834. |
| 42283663 | Derived | Zuo S, Zhou L, Feng H, Massad C, Khalil MA, Wang J, Wang J, Zhao Y, Li F, Kong X, Jiang C, Li X, Xia S, He L, Liu X, Guo X, Zhou N, Li S, Jiang C, Tang R, Sang C, Long D, Du X, Dong J, Marrouche NF, Ma C. Validation of Smartwatches Integrated With Photoplethysmography for Continuous Evaluation of Atrial Fibrillation Burden. JACC Clin Electrophysiol. 2026 Jun 8:S2405-500X(26)00344-0. doi: 10.1016/j.jacep.2026.03.036. Online ahead of print. |
| D013568 |
| Pathological Conditions, Signs and Symptoms |