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Study enrollment and interventions are temporarily paused due to lack of operational funding. This is not an IRB suspension.
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The objective of this prospective, cross-sectional, multicenter pivotal trial study is to validate Infrasensor's clinical performance for the detection of high grade obstructive NSTE-ACS. High-grade obstructive NSTE-ACS is defined as an acute coronary syndrome in which severe obstructive coronary artery disease, including total coronary artery occlusion is present.
Study Endpoints Primary Endpoint: Infrasensor performance (Lower bound of 95% CI for sensitivity, specificity) between device detection of high-grade obstructive NSTE-ACS and angiographic diagnosis of High-grade obstructive CAD defined as the aggregate of >50% left main stenosis, or >70% stenosis in 1 or more coronary arteries and/or emergent revascularization.
Secondary Endpoint: Infrasensor performance (positive and negative predictive values, and overall accuracy).
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| symptomatic patients undergoing a hospital-based evaluation for ACS | patients presenting to acute care settings, such as Emergency Departments (ED), with symptoms suggestive of an acute coronary syndrome (ACS) |
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| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic performance of the Infrasensor for detection of high-grade obstructive NSTE-ACS | Sensitivity and specificity (with lower bound of the two-sided 95% confidence interval) of the Infrasensor for identification of high-grade obstructive non-ST-segment elevation acute coronary syndrome (NSTE-ACS), compared with angiographic diagnosis of high-grade obstructive coronary artery disease (CAD). High-grade obstructive CAD is defined as >50% stenosis in the left main coronary artery or >70% stenosis in one or more major coronary arteries and/or revascularization. | Baseline (ED presentation) through hospital discharge, up to 30 days |
| Measure | Description | Time Frame |
|---|---|---|
| Additional diagnostic performance metrics of the Infrasensor | Positive predictive value (PPV), negative predictive value (NPV), and overall accuracy of the Infrasensor for detection of high-grade obstructive NSTE-ACS compared with angiographic diagnosis. | Baseline (ED presentation) through hospital discharge, up to 30 days |
| Measure | Description | Time Frame |
|---|---|---|
| 30-day major adverse cardiovascular events (MACE) in patients without angiography | Assessment of 30-day clinical outcomes (MACE) in participants who underwent Infrasensor measurement but did not receive invasive coronary angiography, to explore the association between Infrasensor results and short-term clinical outcomes. | 30 days after ED presentation |
Inclusion Criteria:
Exclusion criteria:
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The study population will be consecutive enrollment up to 350 patients presenting to the Emergency Department undergoing evaluation for an acute coronary syndrome in whom invasive coronary angiogram is also intended.
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| Name | Affiliation | Role |
|---|---|---|
| Sanjeev Bhavnani, MD | Remote Cardiac Enablement | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| UC San Diego Health - Sulpizio Cardiovascular Center/ACTRI 2W502-A10 | La Jolla | California | 92037 | United States | ||
Individual participant data (IPD) will not be shared. The study includes detailed clinical, procedural, and imaging data collected to support regulatory evaluation of a proprietary investigational medical device. Due to confidentiality obligations, protection of participant privacy, and the absence of a pre-specified data-sharing plan, individual participant-level data will not be made publicly available.
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| Infrasensor performance by Monk Skin Tone (MST) | Subgroup analysis of Infrasensor diagnostic performance stratified by Monk Skin Tone pigmentation classifications collected for all participants. | Baseline (ED presentation) through hospital discharge, up to 30 days |
| University of California, San Francisco |
| San Francisco |
| California |
| 94110 |
| United States |
| UCSF - Parnassas | San Francisco | California | 94143 | United States |
| Wellstar Research Institute | Marietta | Georgia | 30060 | United States |
| Baylor College of Medicine | Houston | Texas | 77030 | United States |
| University of Wisconsin School of Medicine & Public Health | Madison | Wisconsin | 53705 | United States |