People with heart disease may receive different care because of how race is interpreted in health risk calculators and other tools that help clinicians make treatment decisions.
Apr 29 2024American Heart Association The American Heart Association, a global force for healthier lives for all celebrating 100 years of lifesaving service, awarded four new grants this month to support scientific research that will evaluate the use of race in predicting heart disease risk and in turn help develop tools that are free of bias.
The newly funded principal investigators join six previous awardees who are part of a two-year scientific research strategy funded by a grant from the Doris Duke Foundation to study the complex issue of how race and ethnicity factor into clinical care algorithms and risk prediction tools. The grants are $50,000 each.
Clinical algorithms are formulas used to analyze health data and help determine a person's risk for disease or guide their treatment decisions. Age, weight, information from blood or imaging tests, personal health history and health habits -; like physical activity and smoking -; are among the many types of data used by clinical algorithms.
These innovative research projects are focused on testing many different risk models that include a variety of health variables in an effort to remove racial bias from clinical algorithms. Our hope is that this research helps change the discourse about how race is considered in risk calculation.
Heart Disease Research Atherosclerosis Calcium Cardiovascular Disease Computed Tomography Coronary Heart Disease CT Health Disparities Imaging Ph Stroke Tomography
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