Rodriguez F, et al. - For a cohort of 231,622 adults (mean age was 53.1 years and 54.3% were women) including Asian (n=56,130; Chinese, Asian Indian, Filipino, Japanese, Vietnamese, and other Asian) and Hispanic (n=19,760, Mexican, Puerto Rican, and other Hispanic) patients, researchers used electronic health record data from a community-based, outpatient healthcare system in northern California in order to validate the Pooled Cohort Equations (PCE) in these disaggregated populations, with heterogeneous cardiovascular risk and outcomes. Findings revealed the overestimation of the risk by 20% to 60% for non-Hispanic whites, African Americans, Asians, and Hispanics, using PCE. By disaggregated racial/ethnic subgroups, variations were evident in the extent of overestimation of atherosclerotic cardiovascular disease (ASCVD) risk, with a predicted-to-observed ratio of ASCVD events ranging from 1.1 for Puerto Rican patients to 1.9 for Chinese patients. Adequate discrimination was yielded by PCE, albeit with significant variations across race/ethnic subgroups. No significant improvement in the performance of PCE was evident after its recalibration.