Clinical trials

Immune checkpoint inhibitors (ICIs) might induce high grade immune-related adverse events (irAEs) involving the cardio-vascular system. This study investigates reports of cardio-vascular toxicity associated with treatment including anti-PD1, Anti-PDL-1, and Anti CTLA4 classes using the World Health Organization (WHO) database VigiBase, Assistance Publique Hopitaux de Paris Entrepot de Données de Santé (APHP.EDS), French Système National Des Données de Santé (SNDS) Databases and a retrospective international multicenter registry of ICI-associated myocarditis

Several Drugs used in routine care in oncology induce rare but often severe or fatal cardiovascular or metabolic side effects. This study will investigate, evaluate, report and treat the cardiovascular side effects of anticancer drugs, through a specific cardiovascular routine checkup and follow-up taking place in several Cardio-oncology programs throughout France. The different including centers will be: Assistance Publique - Hôpitaux de Paris (APHP.6: Pitié-Salpétrière, Saint Antoine and Tenon's hospitals, Paris, France).

ATROPOS is an international, registry-based observational study of cancer patients with immune checkpoint inhibitor-associated myocarditis (ICI-M). The study evaluates whether immunosuppressive treatment strategies, including first-line glucocorticoids and subsequent second-line immunosuppressants, are associated with overall mortality, and whether these associations vary according to myocarditis severity. The target number of cases to be included is 1500 spanning from at least 160 centers, located in at least 18 countries. Analyses will adjust for clinically relevant confounders and may use time-dependent survival models where appropriate.

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.