Development and validation of a multivariable prediction model for major adverse cardiovascular events after early stage breast cancer: a population-based cohort study. (18th July 2019)

• Record Type: Journal Article
• Authors: Abdel-Qadir, Husam; Thavendiranathan, Paaladinesh; Austin, Peter C; Lee, Douglas S; Amir, Eitan; Tu, Jack V; Fung, Kinwah; Anderson, Geoffrey M
• Is Part Of: European heart journal. Volume 40:Number 48(2019)
• Page Start: 3913
• Page End: 3920
• Publication Date: 2019-07-18
• Subjects: Breast cancer -- Cardio-oncology -- Risk stratification -- Competing risks -- Cardiovascular disease -- Hospitalization -- Death; Cardiology -- Periodicals; Heart -- Diseases -- Periodicals; 616.12005
• DOI: 10.1093/eurheartj/ehz460
• Languages: English
• ISSNs: 0195-668X

Abstract

Abstract: Aims: Develop a score to predict the risk of major adverse cardiovascular events (MACE) after early stage breast cancer (EBC) to facilitate personalized decision-making about potentially cardiotoxic treatments and interventions to reduce cardiovascular risk. Methods and results: Using administrative databases, we assembled a cohort of women diagnosed with EBC in Ontario between 2003 and 2014, with follow-up through 2015. Two-thirds of the cohort were used for risk score derivation; the remainder were reserved for its validation. The outcome was a composite of hospitalizations for acute myocardial infarction, unstable angina, transient ischaemic attack, stroke, peripheral vascular disease, heart failure (HF), or cardiovascular death. We developed the score by regressing MACE incidence against candidate predictors in the derivation sample using a Fine–Gray model. Discrimination was assessed in the validation sample using Wolber's c-index for prognostic models with competing risks, while calibration was assessed by comparing predicted and observed MACE incidence. The risk score was derived in 60 294 women and validated in 29 810 women. Age, hypertension, diabetes, ischaemic heart disease, atrial fibrillation, HF, cerebrovascular disease, peripheral vascular disease, chronic obstructive pulmonary disease, and chronic kidney disease were significantly associated with MACE incidence and incorporated into the score. Ten-year MACE incidence was >40-fold higher for patients in the highest score decile compared to the lowest. The c-index was 81.9% (95% confidence interval 80.9–82.9%) at 5 years and 79.8% (78.8–80.8%) at 10 years in the validation cohort, with good agreement between predicted and observed MACE incidence. Conclusion: Cardiovascular prognosis after EBC can be estimated using patients' pre-treatment characteristics.