Effects of Race and Gender Classifications on Atherosclerotic Cardiovascular Disease Risk Estimates for Clinical Decision-Making in a Cohort of Black Transgender Women

Abstract

Introduction: Despite their dynamic, socially constructed, and imprecise nature, both race and gender are included in common risk calculators used for clinical decision-making about statin therapy for atherosclerotic cardiovascular disease (ASCVD) prevention. Methods and Materials: We assessed the effect of manipulating six different race-gender categories on ASCVD risk scores among 90 Black transgender women. Results: Risk scores varied by operationalization of race and gender and affected the proportion for whom statins were recommended. Discussion: Race and gender are social constructs underpinning racialized and gendered health inequities. Their rote use in ASCVD risk calculators may reinforce and perpetuate existing inequities.