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Acorai is developing a non-invasive monitoring system for the estimation of intracardiac hemodynamic parameters in patients with suspected or confirmed heart failure, and/or pulmonary hypertension, who require hemodynamic assessment. The device will be intended as a companion test or clinical decision support tool to be used and interpreted by qualified healthcare professionals to aid standard-of-care clinical assessment in identifying hemodynamic congestion and supporting personalized treatment of heart failure and pulmonary congestion.
This study is part of the development of a non-invasive monitoring system for the estimation of intracardiac hemodynamic parameters. It will be conducted to collect the data needed to train the machine learning models retrospectively.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Participants phase 1 | Phase 1: patients enrolled for a right heart catheterization procedure as part of their standard of care. |
| |
| Participants phase 2 | Phase 2: patients enrolled for a right heart catheterization procedure as part of their standard of care. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Acorai Sensor Data Collection (ASDC) system 1.0 - Phase 1 | Device | A supervised session that includes 10 minutes of patient information entry, 5 minutes of sensor recording time and 10 minutes of margin for setting up the system and patient, thus a total evaluation duration of approximately 25 minutes prior to the Right Heart Catheterization. No follow-up period for the subjects will be required for this clinical investigation. Patients will be followed as per standard of care, at the hospital. A single follow-up observational data collection will be conducted at 90 days, to collect the number of unplanned hospitalizations since the procedure visit. This does not involve active patient participation. |
| Measure | Description | Time Frame |
|---|---|---|
| Evaluation of the ML's performance to estimate pressure | Performance of the ML model trained on data collected from the ASDC System to estimate left-sided filling pressure compared to right heart catheterization. | Day 0 to Day 90 |
| Measure | Description | Time Frame |
|---|---|---|
| Evaluation of the ML's performance to estimate other hemodynamic parameters | The performance of the ML model trained on data collected from the ASDC System to estimate other hemodynamic parameters (such as right atrial pressure) compared to right heart catheterization. | Day 0 to Day 90 |
| Diagnostic accuracy of ML model |
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Inclusion Criteria:
Exclusion Criteria:
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Patients enrolled for a right heart catheterization procedure as part of their standard of care.
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Conway Regional Cardiovascular Clinic | Conway | Arkansas | 72034 | United States | ||
| Baptist Health Medical Centre |
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| Acorai Sensor Data Collection (ASDC) system 1.0 - Phase 2 | Device | A supervised session that includes 10 minutes of patient information entry, 5 minutes of sensor recording time and 10 minutes of margin for setting up the system and patient, thus a total evaluation duration of approximately 25 minutes prior to the Right Heart Catheterization. No follow-up period for the subjects will be required for this clinical investigation. Patients will be followed as per standard of care, at the hospital. |
|
The diagnostic accuracy of the ML model trained on data collected from the ASDC System to detect clinically significant abnormal right heart catheterization measurements. |
| Day 0 to Day 90 |
| Little Rock |
| Arkansas |
| 72205 |
| United States |
| Mayo Clinic | Jacksonville | Florida | 32224 | United States |
| Cleveland Clinic Martin Health | Stuart | Florida | 34994 | United States |
| Saint Luke's Hospital of Kansas City | Kansas City | Missouri | 641111 | United States |
| WakeMed | Raleigh | North Carolina | 27610 | United States |
| University of Pennsylvania | Philadelphia | Pennsylvania | 19104 | United States |
| Medical University of South Carolina (MUSC) | Charleston | South Carolina | 29425 | United States |
| Austin Heart Central and San Marcos | Austin | Texas | 78756 | United States |
| Austin Heart Round Rock | Austin | Texas | 78756 | United States |
| Onze-Lieve-Vrouwziekenhuis (OLV) Hospital Aalst | Aalst | Belgium |
| University of Ottawa Heart Institute | Ottawa | Canada |
| Mount Sinai Hospital Toronto | Toronto | Canada |
| Toronto General Hospital | Toronto | Canada |
| Rigshospitalet, University Hospital of Copenhagen | Copenhagen | Denmark |
| Sahlgrenska university hospital | Gothenburg | Sweden |
| Royal Brompton and Harefield Hospitals | London | United Kingdom |
| Southampton University Hospital | Southampton | United Kingdom |
| ID | Term |
|---|---|
| D006333 | Heart Failure |
| ID | Term |
|---|---|
| D006331 | Heart Diseases |
| D002318 | Cardiovascular Diseases |
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