Annals Internal Medicine, Author Interviews, Cleveland Clinic, Heart Disease, Social Issues / 30.08.2017

MedicalResearch.com Interview with: [caption id="attachment_36654" align="alignleft" width="180"]Jarrod Dalton PhD Department of Quantitative Health Sciences Cleveland Clinic , Cleveland  Dr. Dalton[/caption] Jarrod Dalton PhD Department of Quantitative Health Sciences Cleveland Clinic , Cleveland MedicalResearch.com: What is the background for this study? What are the main findings? Response: Accurate risk assessment is critical for identifying patients who are at high risk of cardiovascular events such as heart attacks and strokes. We evaluated the performance of a widely-used risk assessment tool against the socioeconomic position of patients’ neighborhoods of residence. This tool, called the Pooled Cohort Equations Risk Model, or PCERM, was developed in 2013 jointly by the American College of Cardiology and the American Heart Association (ACC/AHA). We found that the PCERM model accurately characterized risk among patients from affluent communities, but performed more poorly among patients from disadvantaged communities. In particular, for these patients, major cardiovascular events occurred at rates that were as much as 2-3 times than predicted from the PCERM model.