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| Name | Class |
|---|---|
| Samsung Electronics | INDUSTRY |
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This is a phase 0, non-interventional, longitudinal, electronic data capture (EDC) study to facilitate the HEARTBEAT Study project has set out to explore the potential use of smartwatches in collecting and analyzing biometric data to improve the detection, identification, and understanding of cardiovascular diseases and related conditions by SAMSUNG and Tulane. The study will include up to ten thousand adult subjects tasked with wearing a smartwatch to collect digital biomarker data over a 1 year period. Concurrent to smartwatch data collection, subjects will be instructed to complete questionnaires via the Huma Decentralized Clinical Trials (HUMADCT) platform. There are no investigational drugs or interventions administered as part of this study.
The central hypothesis in the HEARTBEAT project posits that cardiovascular events are preceded by abnormalities in biometric signals obtained from a smartwatch. These abnormalities may include, but are not limited to, patterns of heart rate, heart rate variability, oxygen saturation, as well as raw PPG signals. By leveraging advanced analytics and machine learning algorithms on smartwatch-derived biometric data, the investigators plan to identify patterns and markers that signal an increased cardiovascular disease risk.
The study will use an end-to-end decentralized approach for data collection. Huma and Alcedis, the electronic data capture (EDC) agencies, will act as the data storage facilitator for 10,000 eligible subjects. The Principal Investigators (PIs) and trained site staff members will assess healthy subjects based on their clinical opinion. If the subjects meet the eligibility criteria and are interested in participating, they will be consented by Tulane.
During the study enrollment phase, a smartwatch will be provided to the subjects, who will then be trained on the study procedures, the web-based questionnaire, and the use of the wearable device. The subjects will be asked to wear the device for one year, after which they will return it to Tulane.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Cohort arm | Patients with at least one cardiovascular disease, 9500 subjects. |
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| Healthy arm | Patients visiting a primary care provider for any reason without any cardiovascular diseases, 500 subjects. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Smartwatch | Other | Sensors on the smartwatch will measure vitals such as heart rate, blood pressure, oxygen saturation, body composition, and electrocardio gram (ECG) |
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| Measure | Description | Time Frame |
|---|---|---|
| The incidence of cardiovascular events indicative of progression of pre-existing cardiovascular conditions | These endpoints will be collected from the electronic health records using the International Classification of Diseases Tenth Edition (ICD-10) codes, prompted by a patient survey conducted via the use of a smart phone app. The investigators will use the the patient's survey answers as a prompt to check the EMR. If in the survey a patient mentions they had a cardiovascular incidence, then the EMR data will be checked to see the reports from the ER visit to confirm the incidence. The number that will be reported is the total number of cardiovascular incidences in each patient over the period of 1 year. | 1 Year |
| The incidence of new cardiovascular diseases events | These endpoints will be collected from the electronic health records using the International Classification of Diseases Tenth Edition (ICD-10) codes, prompted by a patient survey conducted via the use of a smart phone app. The investigators will use the the patient's survey answers as a prompt to check the EMR. If in the survey a patient mentions they had a cardiovascular incidence, then the EMR data will be checked to see the reports from the ER visit to confirm the incidence and check to confirm if the patient developed a new cardiovascular disease. The number that will be reported is the total number of cardiovascular incidences in each patient over the period of 1 year. | 1 Year |
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Inclusion Criteria:
Exclusion Criteria:
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This study will include 10,000 patients older than 18 years who will either be healthy or with a pre-existing heart condition.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Kunal Sameer, MD, MHA | Contact | 504-988-3058 | heartbeat@tulane.edu | |
| Page E McKenzie, MS | Contact | 504-988-3058 | pmckenzie@tulane.edu |
| Name | Affiliation | Role |
|---|---|---|
| Nassir Marrouche, MD | Tulane University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| East Jefferson General Hospital | Recruiting | New Orleans | Louisiana | 70006 | United States |
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| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D006333 | Heart Failure |
| D003324 | Coronary Artery Disease |
| D003920 | Diabetes Mellitus |
| D051436 | Renal Insufficiency, Chronic |
| D001145 | Arrhythmias, Cardiac |
| D001281 | Atrial Fibrillation |
| ID | Term |
|---|---|
| D002318 | Cardiovascular Diseases |
| D003327 | Coronary Disease |
| D017202 | Myocardial Ischemia |
| D001161 | Arteriosclerosis |
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| Tulane University Medical Group Clinics | Recruiting | New Orleans | Louisiana | 70112 | United States |
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| University Medical Center | Recruiting | New Orleans | Louisiana | 70112 | United States |
|
| D001157 |
| Arterial Occlusive Diseases |
| D014652 | Vascular Diseases |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
| D051437 | Renal Insufficiency |
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |