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| Name | Class |
|---|---|
| AstraZeneca | INDUSTRY |
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CONCERTO is a retrospective, observational, multicentric and single-arm study to perform an external validation of the cloud-based and AI-powered electrocardiogram (ECG) analysis platform, named Willem™, to detect Transthyretin cardiac amyloidosis (ATTR-CA). Thus, this study will assess Willem™ ability to distinguish between truly diagnosed ATTR-CA patients and confirmed non-ATTR-CA patients from ECG data.
Transthyretin cardiac amyloidosis (ATTR-CA) is an infiltrative cardiomyopathy affecting cardiac health. Results from clinical trials have shown the importance of early diagnosis to improve outcomes and maximize treatment efficacy.
An electrocardiogram (ECG) is the most commonly performed cardiac diagnostic procedure, providing a large amount of information that can reflect cardiac structure and physiology. In this regard, ECG could be an ideal screening tool for ATTR-CA given its wide use, non-invasive nature, low cost and high sensitivity to reflect ATTR-CA abnormalities.
The CE-marked Willem™ ECG Analysis platform has already shown its capability to process ECG data to detect cardiac patterns and arrythmias. This retrospective, observational, multicentric and single-arm study aims to expand the capabilities of the Willem™ ECG Analysis platform, in this case to detect ATTR-CA from ECG analysis.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| ATTR-CA patients | Adult patients with confirmed diagnosis of ATTR-CA | ||
| Controls (non ATTR-CA subjects) | Adult subjects suspected of ATTR-CA, but finally confirmed not to have ATTR-CA |
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| Measure | Description | Time Frame |
|---|---|---|
| Device performance | Assessment of Willem ability to distinguish between confirmed diagnosed ATTR-CA patients and subjects with no ATTR-CA diagnosis from ECG data of sufficient quality. The diagnostic performance metrics will be accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and F1-score. | Baseline (closest clinical assessment to ATTR-CA diagnosis) |
| Measure | Description | Time Frame |
|---|---|---|
| Device performance with sub-optimal ECG data quality | Assessment of Willem ability to distinguish between confirmed diagnosed ATTR-CA patients and subjects with no ATTR-CA diagnosis from ECG data which does not meet the minimum pre-specified quality requirements. The diagnostic performance metrics will be accuracy, sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and F1-score. |
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Inclusion Criteria:
Exclusion Criteria:
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Subjects with a suspected or confirmed diagnosis of ATTR-CA
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Manuel Marina-Breysse, MSc, MD | Contact | +34618103160 | m@idoven.ai | |
| José María Lillo, PhD | Contact | c@idoven.ai |
| Name | Affiliation | Role |
|---|---|---|
| Pablo García Pavía, MD, PhD | Hospital Universitario Puerta de Hierro | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Northwestern University | Completed | Evanston | Illinois | 60208 | United States | |
| Centre Hospitalier Universitaire de Toulouse |
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| Baseline (closest clinical assessment to ATTR-CA diagnosis) |
| Recruiting |
| Toulouse |
| 31300 |
| France |
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| Universitätsklinikum Bonn | Completed | Bonn | 53127 | Germany |
| TUM Klinikum Deutsches Herzzentrum | Not yet recruiting | München | 80636 | Germany |
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| Hospital Universitario Son Llàtzer | Recruiting | Palma de Mallorca | Balearic Islands | 07198 | Spain |
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| Hospital Universitario Donostia | Completed | San Sebastián | Guipúzcoa | 20014 | Spain |
| Hospital Universitario Juan Ramón Jiménez | Completed | Huelva | Huelva | 21005 | Spain |
| Queen Elizabeth University Hospital, Univeisity of Glasgow | Recruiting | Glasgow | G51 4TF | United Kingdom |
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