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| Name | Class |
|---|---|
| AliveCor | INDUSTRY |
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The purpose of this study is to examine whether patients can use the AliveCor case to record their heart rhythm and to assess the accuracy of the software in detecting AF vs sinus rhythm
AliveCor is a new monitoring technology used with a smart phone which allows patients to record their rhythm. The study will compare AliveCor recordings and automated interpretation of the rhythm with the interpretation by an Electrophysiologist.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Patients with Atrial Fibrillation | Patients with Atrial Fibrillation admitted to the hospital for drug loading with Dofetilide or Sotalol willing to record and transmit heart rhythm using AliveCor. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Record and transmit heart rhythm | Device | The patient uses the AliveCor device to record and transmit heart rhythm two times a day. The patient, device software, and Electrophysiologist interpret the rhythm |
| Measure | Description | Time Frame |
|---|---|---|
| Examine the accuracy of the AliveCor software in detecting AF or sinus rhythm compared to the physician interpretation | Both the software nd overreading electrophysiologist come to the same conclusion regarding the rhythm of the ECG and Alivecor reading. Both determining that the tracing is either normal sinus rhythm or atrial fibrillation. | 6 month |
| Measure | Description | Time Frame |
|---|---|---|
| Assess the correlation between QT interval derived from the AliveCor device compared to standard 12 lead ECG, as assessed by the overreading electrophysiologists. | 6 months |
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Inclusion Criteria:
Exclusion Criteria:
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Patients admitted to the hospital for your atrial fibrillation or atrial flutter
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| Name | Affiliation | Role |
|---|---|---|
| Khaldoun Tarakji, MD | The Cleveland Clinic | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Cleveland Clinic | Cleveland | Ohio | 44195 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 30143448 | Derived | William AD, Kanbour M, Callahan T, Bhargava M, Varma N, Rickard J, Saliba W, Wolski K, Hussein A, Lindsay BD, Wazni OM, Tarakji KG. Assessing the accuracy of an automated atrial fibrillation detection algorithm using smartphone technology: The iREAD Study. Heart Rhythm. 2018 Oct;15(10):1561-1565. doi: 10.1016/j.hrthm.2018.06.037. Epub 2018 Aug 22. |
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| ID | Term |
|---|---|
| D001281 | Atrial Fibrillation |
| D001282 | Atrial Flutter |
| ID | Term |
|---|---|
| D001145 | Arrhythmias, Cardiac |
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D010335 | Pathologic Processes |
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| ID | Term |
|---|---|
| D011996 | Records |
| ID | Term |
|---|---|
| D003625 | Data Collection |
| D004812 | Epidemiologic Methods |
| D008919 | Investigative Techniques |
| D009934 | Organization and Administration |
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| D013568 |
| Pathological Conditions, Signs and Symptoms |
| D006298 | Health Services Administration |
| D017531 | Health Care Evaluation Mechanisms |
| D011787 | Quality of Health Care |
| D017530 | Health Care Quality, Access, and Evaluation |
| D011634 | Public Health |
| D004778 | Environment and Public Health |