Risk Prediction Models of Cardiotoxicity in Patients With Breast Cancer: Multicenter Prospective CHECK HEART-BC Study.
[BACKGROUND] Early detection and treatment of cardiotoxicity are essential for reducing cardiac events.
- 95% CI 0.76-0.89
- 추적기간 366 days
APA
Terui Y, Nochioka K, et al. (2026). Risk Prediction Models of Cardiotoxicity in Patients With Breast Cancer: Multicenter Prospective CHECK HEART-BC Study.. JACC. Asia, 6(2), 229-241. https://doi.org/10.1016/j.jacasi.2025.08.018
MLA
Terui Y, et al.. "Risk Prediction Models of Cardiotoxicity in Patients With Breast Cancer: Multicenter Prospective CHECK HEART-BC Study.." JACC. Asia, vol. 6, no. 2, 2026, pp. 229-241.
PMID
41031980
Abstract
[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.
[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.