4.2 Article

Cardiovascular Diseases Following Breast Cancer Towards a Case-by-Case Assessment Through a Prediction Risk Score Model in 943 Patients

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LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1097/COC.0000000000000904

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breast cancer; cardiovascular disease; survival; prevention; cardiotoxicity

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Identification of risk factors and assessment of risk prediction model in a large population of breast cancer patients. Factors associated with cardiovascular events include high blood pressure, acute coronary syndrome, and Scarff-Blool-Richardson grade. Abdel-Qadir score was not fully validated in this population.
Objectives: To identify patients at high risk of developing cardiovascular disease through the identification of risk factors among a large population of breast cancer women and to assess the performance of Abdel-Qadir risk prediction model score. Materials and Methods: The medical records and baseline characteristics of all patients/tumors diagnosed with breast cancer from 2010 to 2011 in a French comprehensive cancer center were collected. Cardiovascular events were defined as arterial and cardiac events, atrial fibrillation and venous thromboembolism occurring during the 5-year follow-up. Abdel-Qadir multivariable prediction model for major adverse cardiovascular events were used with the concordance index (c-index) score to assess calibration by comparing predicted risks to observed probabilities. Results: Among the 943 breast cancer patients included, 83 patients (8.8%) presented with at least one cardiovascular event, leading to a cumulative incidence of 0.07 at 5 years (95% confidence interval [CI], 0.055-0.088). The cumulative incidence of atrial fibrillation at 5 years was 0.01 (95% CI, 0.005-0.018). Factors associated with the occurrence of cardiovascular events were pre-existing cardiovascular diseases including high blood pressure (hazard ratio [HR]=1.78, 95% CI=1.07-2.97, P=0.028), acute coronary syndrome (HR=5.28, 95% CI: 2.16-12.88, P<0.05) and grade 3 Scarff-Blool-Richardson (HR=1.95, 95% CI: 1.21-3.15, P=0.006). With a c-index inferior to 0.7, the Abdel-Qadir score was not fully validated in our population. Conclusion: These findings call for the assessment of the performance of risk prediction models such as Abdel-Qadir score coupled with other factors such as Scarff Bloom and Richardson grading in order to identify patients at high risk of experiencing cardiotoxicity.

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