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| Name | Class |
|---|---|
| Precordior Ltd | INDUSTRY |
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The study will test the ability a novel wearable sensor based on a smartphone app (Precordior CardioSignal app) in combination with a sensor device (Suunto Movesense sensor) to non-invasively measure cardiac motion and function.
Heart Failure (HF) is a syndrome where the heart is unable to pump or fill adequately to meet the circulatory needs of the body. The main purpose of this study is to test the ability a novel wearable sensor based on a smartphone app (Precordior CardioSignal app) in combination with a sensor device (Suunto Movesense sensor) to non-invasively measure cardiac motion and function. The phone and sensor are positioned on the chest and echocardiography is used as a gold standard to assess cardiac mechanics including myocardial strain, cardiac torsion, diastolic filling characteristics, hemodynamics including pressure estimates and stroke volume.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| HFpEF | HF patients with preserved ejection fraction (HFpEF) | ||
| HFrEF | HF patients with reduced ejection fraction (HFrEF) | ||
| PH | Patients with Pulmonary hypertension (PH) | ||
| Control | Elective patients visiting hospital cardiology who are not diagnosed with either HFpEF or HFrHF or PH but meet other inclusion criteria and none of the exclusion criteria. | ||
| Controls with suspected CAD | Elective patients visiting hospital cardiology who are not diagnosed with either HFpEF or HFrHF or PH but meet other inclusion criteria and none of the exclusion criteria, and may have a diagnosis of Coronary Artery Disease (CAD) or may be suspected to have CAD. |
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| Measure | Description | Time Frame |
|---|---|---|
| Heart failure detection | Test the ability of the Precordior sensor to detect heart failure with reduced ejection fraction, heart failure with preserved ejection fraction and pulmonary hypertension compared to control participants. An additional comparison will be made to individuals without signs, diagnosed, or suspected HF who will be undergoing CCTA due to suspected CAD. | Baseline to Day 2 |
| Measure | Description | Time Frame |
|---|---|---|
| Detection of differences in myocardial mechanics between admission and discharge | The ability of the Precordior sensor to detect differences in myocardial mechanics as defined my myocardial longitudinal strain, hemodynamics and torsion analysis from admission and discharge. | up to 2 weeks (during admission) and 2 to 14 weeks (during follow-up visit). |
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Inclusion Criteria:
Exclusion Criteria:
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Patients visiting Stanford Hospital and Clinics
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| Name | Affiliation | Role |
|---|---|---|
| Francois Haddad, MD | Stanford University | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Stanford University | Palo Alto | California | 94305 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38573263 | Result | Haddad F, Saraste A, Santalahti KM, Pankaala M, Kaisti M, Kandolin R, Simonen P, Nammas W, Jafarian Dehkordi K, Koivisto T, Knuuti J, Mahaffey KW, Blomster JI. Smartphone-Based Recognition of Heart Failure by Means of Microelectromechanical Sensors. JACC Heart Fail. 2024 Jun;12(6):1030-1040. doi: 10.1016/j.jchf.2024.01.022. Epub 2024 Apr 3. |
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| ID | Term |
|---|---|
| D006333 | Heart Failure |
| D006976 | Hypertension, Pulmonary |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
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| D006973 |
| Hypertension |
| D014652 | Vascular Diseases |