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.
Study Type
OBSERVATIONAL
Enrollment
500
Northwestern University
Evanston, Illinois, United States
RECRUITINGCentre Hospitalier Universitaire de Toulouse
Toulouse, France
NOT_YET_RECRUITINGCareggi University Hospital
Florence, Italy
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.
Time frame: Baseline (closest clinical assessment to ATTR-CA diagnosis)
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.
Time frame: Baseline (closest clinical assessment to ATTR-CA diagnosis)
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
United Hospitals of Trieste University Hospital
Trieste, Italy
NOT_YET_RECRUITINGHospital Juan Ramón Jiménez
Huelva, Huelva, Spain
RECRUITINGHospital Universitario Son Llatzer
Palma de Mallorca, Spain
RECRUITINGHospital Universitario Donostia
San Sebastián, Spain
RECRUITING