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Dataset Information

Risk Prediction for Atherosclerotic Cardiovascular Disease With and Without Race Stratification.


ABSTRACT:

Importance

Use of race-specific risk prediction in clinical medicine is being questioned. Yet, the most commonly used prediction tool for atherosclerotic cardiovascular disease (ASCVD)-pooled cohort risk equations (PCEs)-uses race stratification.

Objective

To quantify the incremental value of race-specific PCEs and determine whether adding social determinants of health (SDOH) instead of race improves model performance.

Design, setting, and participants

Included in this analysis were participants from the biracial Reasons for Geographic and Racial Differences in Stroke (REGARDS) prospective cohort study. Participants were aged 45 to 79 years, without ASCVD, and with low-density lipoprotein cholesterol level of 70 to 189 mg/dL or non-high-density lipoprotein cholesterol

SUBMITTER: Ghosh AK 

PROVIDER: S-EPMC10701663 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature