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| Name | Class |
|---|---|
| Samsung | INDUSTRY |
| Preventice | INDUSTRY |
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To evaluate the progression of atrial myopathy through wearable devices and cardiac imaging.
The Tulane iPredict Prevent (TiPP) project aims to study the aging of the heart in a diverse patient population using wearable digital health devices with the help of Samsung and Boston Scientific.
The innovative project seeks to correlate aging of the heart with daily biometric data obtained from wearable digital health devices, using Samsung's Galaxy Watch. Participants' biometric data, which include heart rate, step count, sleep patterns, and more, along with ECG readings from Preventice (Boston Scientific) Body Guardian Mini, will inform a machine learning model, providing real-time risk assessment of cardiovascular events.
In addition to monitoring biometric data, participants will undergo advanced cardiac imaging (CMR) scans at baseline and one-year follow-up to evaluate markers of aging of the heart (atrial myopathy). These scans, paired with the continuous data from the wearable devices, will offer a detailed understanding of the progression of atrial myopathy over time.
The TiPP study's unique approach of leveraging digital health technology represents an exciting innovation in cardiovascular research. This study's findings are expected to revolutionize our understanding of heart aging and, more importantly, the prediction and prevention of heart diseases in diverse patient populations.
Moreover, the study outcomes will allow us to accurately assess the clinical relevance of daily biometric data, leading to improved and personalized care. The insights gathered will be pivotal in informing early preventive interventions, significantly improving patient outcomes and transforming how we approach cardiovascular diseases and arrhythmias.
The primary outcome of the study will be evaluating the progression of atrial myopathy based on CMR scans. Meanwhile, secondary outcomes will include the incidence of heart failure, stroke, hospitalization, arrhythmias, and mortality during the study period.
With the increasing prevalence of cardiovascular diseases globally, the TiPP study, with its novel use of technology and inclusive approach, stands at the forefront of heart disease research, potentially altering the course of cardiovascular treatment and management.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Participants with Atrial Fibrillation or have Moderate-high risk factors for Atrial Fibrillation | Participants who have atrial fibrillation or have moderate to high-risk factors for the development of atrial fibrillation as verified by the Atherosclerotic CardioVascular Disease (ASCVD) risk calculation tool. Participants will be provided with a Samsung Galaxy Watch to wear daily and will also be asked to wear an ECG patch for 30-days at baseline, 6, 9 and 12 months. A Cardiac MRI (CMR) will be taken at baseline and at 12 months. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Samsung Galaxy Watch Active2 | Device | The Samsung wearable device will collect data; photoplethysmography (PPG) waveforms, heart rate, heart rate variability, step counts, oxygen saturation levels, sleep pattern and quality. |
| Measure | Description | Time Frame |
|---|---|---|
| Atrial Myopathy Progression | To evaluate changes of atrial myopathy (via the extent of atrial fibrosis, the shape of left atrium [LA] and the function of the LA). This will be assessed via CMR scans. | Based on results from CMR scan at baseline at 12-Months CMR scan |
| Measure | Description | Time Frame |
|---|---|---|
| Heart Failure Incidence | During the 6 month and 9 month phone call visits, we will ask the participants if they have had any incidence of heart failure. | Through study completion, up to 52 weeks |
| Cerebrovascular Incidence |
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Inclusion Criteria:
Participants must meet the following criteria to be enrolled in the trial:
Exclusion Criteria:
Participants will be excluded from enrollment if any of the following criteria are present:
Participant eligibility is based on the self-representation of gender identity.
360 participants, male or female with atrial fibrillation (18-79 years) or have moderate to high risk factors (40-79 years) for atherosclerotic cardiovascular disease as verified by the ASCVD risk estimator.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Quintrele Jones, MPH | Contact | 504-988-3063 | qjones1@tulane.edu | |
| Chris Wang, MS | Contact | 504-988-3065 | hwang37@tulane.edu |
| Name | Affiliation | Role |
|---|---|---|
| Nassir F Marrouche, MD | Tulane University School of Medicine | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Tulane University School of Medicine | Recruiting | New Orleans | Louisiana | 70112 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 31504357 | Background | Truong VT, Palmer C, Wolking S, Sheets B, Young M, Ngo TNM, Taylor M, Nagueh SF, Zareba KM, Raman S, Mazur W. Normal left atrial strain and strain rate using cardiac magnetic resonance feature tracking in healthy volunteers. Eur Heart J Cardiovasc Imaging. 2020 Apr 1;21(4):446-453. doi: 10.1093/ehjci/jez157. | |
| 29846999 | Background |
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| ID | Term |
|---|---|
| D001281 | Atrial Fibrillation |
| D006337 | Heart Murmurs |
| D001145 | Arrhythmias, Cardiac |
| D006331 | Heart Diseases |
| ID | Term |
|---|---|
| D002318 | Cardiovascular Diseases |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D012816 | Signs and Symptoms |
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During the 6 month and the 9 month phone call visits, we will ask the participants if they have had any clinically relevant cerebrovascular events such as stroke and/or Transient Ischemic Attack (TIA).
| Through study completion, up to 52 weeks |
| Hospitalization Incidence | During the 6 month and the 9 month phone call visits, we will ask the participants if they have had any cardiac related hospitalization. | Through study completion, up to 52 weeks |
| Arrhythmias Incidence | During the 6 month and the 9 month phone call visits, we will ask the participants if they have had any incidence of any cardiac arrhythmias. | Through study completion, up to 52 weeks |
| Death Incidence | During the 6 month and the 9 month phone call visits, we will check for mortality. | Through study completion, up to 52 weeks |
| Bieging ET, Morris A, Wilson BD, McGann CJ, Marrouche NF, Cates J. Left atrial shape predicts recurrence after atrial fibrillation catheter ablation. J Cardiovasc Electrophysiol. 2018 Jul;29(7):966-972. doi: 10.1111/jce.13641. Epub 2018 Jun 19. |
| 24496537 | Background | Marrouche NF, Wilber D, Hindricks G, Jais P, Akoum N, Marchlinski F, Kholmovski E, Burgon N, Hu N, Mont L, Deneke T, Duytschaever M, Neumann T, Mansour M, Mahnkopf C, Herweg B, Daoud E, Wissner E, Bansmann P, Brachmann J. Association of atrial tissue fibrosis identified by delayed enhancement MRI and atrial fibrillation catheter ablation: the DECAAF study. JAMA. 2014 Feb 5;311(5):498-506. doi: 10.1001/jama.2014.3. |
| 25727248 | Background | Cochet H, Mouries A, Nivet H, Sacher F, Derval N, Denis A, Merle M, Relan J, Hocini M, Haissaguerre M, Laurent F, Montaudon M, Jais P. Age, atrial fibrillation, and structural heart disease are the main determinants of left atrial fibrosis detected by delayed-enhanced magnetic resonance imaging in a general cardiology population. J Cardiovasc Electrophysiol. 2015 May;26(5):484-92. doi: 10.1111/jce.12651. Epub 2015 Apr 22. |
| 30661270 | Background | Siebermair J, Suksaranjit P, McGann CJ, Peterson KA, Kheirkhahan M, Baher AA, Damal K, Wakili R, Marrouche NF, Wilson BD. Atrial fibrosis in non-atrial fibrillation individuals and prediction of atrial fibrillation by use of late gadolinium enhancement magnetic resonance imaging. J Cardiovasc Electrophysiol. 2019 Apr;30(4):550-556. doi: 10.1111/jce.13846. Epub 2019 Jan 24. |
| 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. |
| 28085085 | Background | Majumder S, Mondal T, Deen MJ. Wearable Sensors for Remote Health Monitoring. Sensors (Basel). 2017 Jan 12;17(1):130. doi: 10.3390/s17010130. |