Abstract 16332: Novel Risk Model for Predicting Cardiovascular Outcome in Breast Cancer Survivors

• Published in: Circulation (New York, N.Y.) N.Y.), 2020-11, Vol.142 (Suppl_3 Suppl 3), p.A16332-A16332
• Main Authors: Kim, Do Young, Youn, Jong-chan, Park, Myung-Soo, Lee, Sunki, Choi, Jae Hyuk, Mi-Hyang, Jung, Ryu, Kyu-Hyung, Han, Seongwoo
• Format: Article
• Language: English
• ISSN: 0009-7322; 1524-4539
• DOI: 10.1161/circ.142.suppl_3.16332

IntroductionBoth conventional cardiovascular (CV) risk factors and breast cancer (BC) therapy-related CV risk factors play an important role in CV mortality among BC survivors. HypothesisA risk stratification scheme which is based on both conventional CV risk factors and cancer treatment-related risk factors may have a good performance toward estimating the risk of CV the event among these survivors. MethodsThe cohort of the study consists of 1,256 female BC patients from 4 medical centers in South Korea with a mean follow up duration of 51.6 ± 30.8 months. The cohort was randomized on a 1:1 ratio into the derivation group and validation group. A competing risk analysis model was used to derive the risk scheme. The primary endpoint was the composite of CV mortality, myocardial infarction (MI), congestive heart failure (CHF), and transient ischemic attack (TIA)/stroke. ResultsWe developed the CHEMO-RADIAT score (CHF [2 point], Elderly [age≥60; 1 point], prior MI/peripheral artery disease [2 points], Obesity [body mass index ≥30 kg/m2; 1 point], Renal failure [glomerular filtration rate