As expected, the longitudinal AUDIT-C metrics (age-adjusted mean AUDIT-C and AUDIT-C trajectories) were highly correlated (r=0.90), which did not differ by population group. The proportion of individuals with an AUD increased monotonically with increasing mean AUDIT-C scores, though the correlation differed by population group (AAs: r=0.38, EAs: r=0.26; p<0.001). Among individuals with a mean AUDIT-C score of 4 or higher, more than twice the percentage of AAs as EAs (73% vs. 36%; p<0.001) had an AUD diagnosis in the EHR (Figure 1a). Similarly, nearly twice the percentage of AAs as EAs assigned to the highest AUDIT-C trajectory had an AUD diagnostic code in the EHR (83% vs. 44%; p<0.001) (Figure 1b).
