Independent predictors of MACE in patients with cancer

Abstract

Abstract Funding Acknowledgements None. Background/Introduction Cardiovascular disease and cancer are the leading causes of death worldwide. Both disease entities share common risk factors. More importantly, the main cause of death after disease progression is cardiovascular disease in patients with cancer. Despite the recent advancements in the field of cardio-oncology, the main prognostic factors of major adverse cardiovascular events (MACE) remain elusive. Purpose To investigate prognostic factors of MACE in a single center cardio-oncology registry. Methods Consecutive patients referred to the cardio-oncology outpatient clinic of a tertiary center for cardiologic consultation were included. All patients were followed up clinically or by telephone. Data from national records were also used. Results In total, 115 patients were included in the analysis. Of them, 60 (52.2%) were female and the majority of study population suffered from breast cancer (27%). Thirteen patients (11.3%) had hematologic malignancies and the rest solid tumors. Chemotherapy was received by a total of 94 patients (81,7%). The mean follow -up duration was 446 days. During follow up, 32 MACEs (27.8%) occurred. Death from any cause occurred in 21 patients (including 2 cardiac deaths), hospitalization due to heart failure in 6, myocardial infarction in 2, pulmonary embolism in 3 and stroke in 1 patient. In multivariate logistic regression analysis, diabetes mellitus was an independent predictor of MACE, after adjustment for cardiovascular risk factors and body mass index (OR=3.37, 95% CI 1.14-9.99). In Kaplan Meier plots patients with diabetes mellitus showed higher incidence of MACE (log rank p=0.03). Conclusions In the present single center study, diabetes mellitus emerged as an independent predictor of MACE. This finding confirms the important and primary role of cardio-oncology units in the strict management of cardiovascular risk factors, leading to improved prognosis of this patient-population.Kaplan Meier Curve