ML Score Prediction of Cardiotoxicity in Cancer Patients Receiving Anthracycline Chemotherapy or HER2-Targeted Therapies

Cancer treatments have improved substantially over the past decades, but some effective therapies such as anthracyclines and HER2-targeted agents are associated with severe cardiovascular adverse effects, including heart failure. Existing cardiovascular risk prediction scores have limited evidence in this setting. The ML-CardioTox study is a prospective, multicenter, observational cohort conducted in 15 centers in France. The primary objective is to develop a one-year prediction score for cancer therapy-related cardiotoxicity using machine learning methods. A dedicated software platform will be used to standardize data collection and support integration of artificial intelligence tools. A total of 600 patients treated with anthracyclines or HER2-targeted therapies in cardio-oncology clinics will be enrolled over a one-year inclusion period starting in December 2024, with a 12-month follow-up. The primary endpoint is the occurrence of cardiotoxicity as defined by the 2022 European Society of Cardiology guidelines (hospitalization for heart failure, initiation or escalation of diuretic therapy, decline in cardiac function on imaging, or increase in cardiac biomarkers such as troponin or natriuretic peptides). Secondary objectives include comparison of the predictive performance of the machine learning-derived score with the established HFA-ICOS risk score. Patients will be managed according to routine clinical practice. This study aims to improve prognostic stratification t…

This description comes directly from the study's public registry record.

Damien Legallois, MD, PhD  ·  33231064418  ·  damien.legallois@unicaen.fr

Always discuss trial participation with your own doctor first.

Get one email when the public record changes — results posted, or the study's status changes. Nothing else, ever.

We email about this public record only. Unsubscribe anytime with one click. Never medical advice.