Multicenter Study for the Validation of an AI-based ECG Platform for Early Cardiac Amyloidosis Diagnosis

Multicenter Study for the Validation of an AI-based ECG Platform for Early Cardiac Amyloidosis Diagnosis (CONCERTO)

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.

Inclusion Criteria:

• Subjects ≥ 18 years old
• Subjects with 12-leads ECG records with a 10 seconds minimum length on digital format

Exclusion Criteria:

• Patients with paced rhythm on the ECG.