Model for Predicting Risk of Heart Failure or Cardiomyopathy After Breast Cancer Treatment
November 11, 2025
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3 min
Barac et al. developed a 10-year risk prediction model for heart failure or cardiomyopathy (HF/CM) in women undergoing breast cancer treatment. Analyzing data from 26,044 patients in Kaiser Permanente Southern California from 2008-2020, the model utilized various predictors such as age, treatment type, and pre-existing health conditions. The study categorized patients into low, moderate, and high-risk cohorts, with significant differences in HF/CM risk percentages at 5 and 10 years. The model aims to enhance cardiac management for breast cancer patients.
1. Risk model aims to predict HF/CM in breast cancer patients. 2. Data analyzed from 26,044 patients. 3. Key predictors include age, treatment type, and health history. 4. Risks stratified into low, moderate, high categories. 5. High-risk patients had a 10-year HF/CM risk of 19.4%. 6. The model aids in tailored cardiac management. 7. Published in JAMA Oncology, study supported by NIH.
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