Immune Checkpoint Inhibitor-Related Myocarditis

ELDORA is a non-interventional observational data-science study aiming to develop and validate clinical-grade artificial intelligence tools applied to electrocardiogram (ECG) data. The project will standardize heterogeneous ECGs, create the ECGInsight harmonized database, and train interpretable models for life-threatening arrhythmia risk prediction, especially Torsades-de-Pointes/long QT syndrome and immune checkpoint inhibitor (ICI)-induced myocarditis. The project uses existing and ongoing national and international ECG cohorts with de-identified clinical metadata; AI outputs are intended for research/model development and are not used to drive patient care during the study.

G-COR is the first Global Prospective Cardio-Oncology Registry. It is a multinational, multicenter prospective observational cohort registry, with the goal of collecting clinical, laboratory, imaging, demographic, and socioeconomic data to identify risk factors associated with increased incidence of cancer therapy related cardiovascular toxicity (CTR-CVT) in different settings and to derive and validate risk scores for cardio oncology patients treated in different geographic locations throughout the world.

Immune checkpoint inhibitor-associated cardiac injury (ICIACI) is a low-incidence but highly fatal adverse event. A significant knowledge gap exists regarding the disease characteristics and recovery status of patients during the ICIACI convalescent phase. The objectives of this study are to establish a national, multicenter cohort for this patient population and to comprehensively describe their clinical profiles from an integrated Traditional Chinese and Western medicine standpoint, as well as their current rehabilitation status.