Why the study?
A reliable predictive model for cardiotoxicity in patients with breast cancer receiving chemotherapy is lacking, despite early detection and treatment being essential to reduce cardiac events.
Does the CHECK HEART score accurately predict the risk of cardiotoxicity in patients with breast cancer receiving chemotherapy?
Does the CHECK HEART score accurately predict the risk of cardiotoxicity in patients with breast cancer receiving chemotherapy?
A multivariable risk prediction model (the CHECK HEART score) utilizing baseline clinical and echocardiographic variables can accurately stratify and predict the 12-month risk of cardiotoxicity in breast cancer patients undergoing chemotherapy.
May support pretreatment risk stratification in breast cancer; leaves open prospective validation before clinical adoption.
BACKGROUND: Early detection and treatment of cardiotoxicity are essential for reducing cardiac events. However, a reliable predictive model for cardiotoxicity in patients with breast cancer receiving chemotherapy is lacking. OBJECTIVES: In this study, we aimed to develop a risk prediction model and establish effective surveillance for cardiotoxicity in patients with breast cancer undergoing chemotherapy. METHODS: Patients with breast cancer scheduled for neoadjuvant and/or adjuvant chemotherapy were prospectively screened at 25 participating institutions between August 2017 and March 2020. Cardiotoxicity was defined as a reduction in left ventricular ejection fraction of >10% from baseline to a value <53%. RESULTS: The study included 559 chemotherapy-naïve female patients. Cardiotoxicity was observed in 46 of 559 patients (8.2%) during a median follow-up period of 366 days (Q1-Q3: 365-367 days). The CHECK HEART (Comprehensive Heart Imaging to Evaluate Cardiac Damage Linked With Chemotherapy in Breast Cancer Patients) score consisted of 6 variables: heart rate, left ventricular global longitudinal strain, left ventricular end-systolic and end-diastolic diameters, right ventricular fractional area change, and treatment with anthracycline and trastuzumab. The time-dependent area under the receiver operating characteristic curve (AUC) at 12 months based on pretreatment data showed acceptable accuracy (AUC: 0.82; 95% CI: 0.76-0.89). CONCLUSIONS: The developed multivariable risk prediction models can accurately predict cardiotoxicity and support effective surveillance in patients with breast cancer receiving chemotherapy.
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Terui et al. (2025) studied this question.
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