TY - JOUR
T1 - Race as a Component of Cardiovascular Disease Risk Prediction Algorithms
AU - Vasan, Ramachandran S.
AU - Rao, Shreya
AU - van den Heuvel, Edwin
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
PY - 2023/10
Y1 - 2023/10
N2 - Purpose of Review: Several prediction algorithms include race as a component to account for race-associated variations in disease frequencies. This practice has been questioned recently because of the risk of perpetuating race as a biological construct and diverting attention away from the social determinants of health (SDoH) for which race might be a proxy. We evaluated the appropriateness of including race in cardiovascular disease (CVD) prediction algorithms, notably the pooled cohort equations (PCE). Recent Findings: In a recent investigation, we reported substantial and biologically implausible differences in absolute CVD risk estimates upon using PCE for predicting CVD risk in Black and White persons with identical risk factor profiles, which might result in differential treatment decisions based solely on their race. Summary: We recommend the development of raceless CVD risk prediction algorithms that obviate race-associated risk misestimation and racializing treatment practices, and instead incorporate measures of SDoH that mediate race-associated risk differences.
AB - Purpose of Review: Several prediction algorithms include race as a component to account for race-associated variations in disease frequencies. This practice has been questioned recently because of the risk of perpetuating race as a biological construct and diverting attention away from the social determinants of health (SDoH) for which race might be a proxy. We evaluated the appropriateness of including race in cardiovascular disease (CVD) prediction algorithms, notably the pooled cohort equations (PCE). Recent Findings: In a recent investigation, we reported substantial and biologically implausible differences in absolute CVD risk estimates upon using PCE for predicting CVD risk in Black and White persons with identical risk factor profiles, which might result in differential treatment decisions based solely on their race. Summary: We recommend the development of raceless CVD risk prediction algorithms that obviate race-associated risk misestimation and racializing treatment practices, and instead incorporate measures of SDoH that mediate race-associated risk differences.
KW - Cardiovascular disease
KW - Cohort studies
KW - Prediction
KW - Race
KW - Risk
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U2 - 10.1007/s11886-023-01938-y
DO - 10.1007/s11886-023-01938-y
M3 - Review article
C2 - 37581773
AN - SCOPUS:85168271409
SN - 1523-3782
VL - 25
SP - 1131
EP - 1138
JO - Current Cardiology Reports
JF - Current Cardiology Reports
IS - 10
ER -