Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer
Patients
- URL: http://arxiv.org/abs/2201.13036v1
- Date: Mon, 31 Jan 2022 07:33:56 GMT
- Title: Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer
Patients
- Authors: Sicheng Zhou, Rui Zhang, Anne Blaes, Chetan Shenoy, Gyorgy Simon
- Abstract summary: The cardiotoxicity risk for breast cancer patients receiving different treatments remains unclear.
We developed and evaluated risk predictive models for cardiotoxicity in breast cancer patients using EHR data.
- Score: 7.253038065520483
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: Cardiotoxicity induced by the breast cancer treatments (i.e., chemotherapy,
targeted therapy and radiation therapy) is a significant problem for breast
cancer patients. The cardiotoxicity risk for breast cancer patients receiving
different treatments remains unclear. We developed and evaluated risk
predictive models for cardiotoxicity in breast cancer patients using EHR data.
The AUC scores to predict the CHF, CAD, CM and MI are 0.846, 0.857, 0.858 and
0.804 respectively. After adjusting for baseline differences in cardiovascular
health, patients who received chemotherapy or targeted therapy appeared to have
higher risk of cardiotoxicity than patients who received radiation therapy. Due
to differences in baseline cardiac health across the different breast cancer
treatment groups, caution is recommended in interpreting the cardiotoxic effect
of these treatments.
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