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. 2022 Mar 16;17(3):e0265498. doi: 10.1371/journal.pone.0265498

Table 3. Prevalence and incidence of EHR-derived AF by age, sex, and race/ethnicity, All of Us Research Program, 2017–2019.

Prevalent AF Incident AF
Age group AF cases Total Prevalence (%) Odds Ratio (95% CI)* AF cases Person-years Incidence** Hazard Ratio (95% CI)***
    <40 71 23,285 0.3 1 (Ref.) <20 32,271 <0.6 1 (Ref.)
    40–49 160 12,609 1.3 4.2 (3.2, 5.6) <20 17,006 <1.2 2.9 (1.4, 5.9)
    50–59 466 19,326 2.4 8.0 (6.2, 10.3) 57 25,830 2.2 6.0 (3.2, 11.2)
    60–69 1150 21,016 5.5 17.8 (14.0, 22.6) 110 26,893 4.1 10.4 (5.7, 19.0)
    70–79 1445 12,979 11.1 35.8 (28.1, 45.5) 116 15,314 7.6 17.4 (9.6, 31.7)
    80–89 593 3,103 19.1 66.2 (51.5, 85.1) 41 3,232 12.3 28.1 (14.7, 53.7)
Sex
    Female 1,751 57,439 3.0 1 (Ref.) 170 76,083 2.2 1 (Ref.)
    Male 2,134 34,879 6.1 1.9 (1.8, 2.0) 184 44,464 4.1 1.7 (1.4, 2.1)
Race / ethnicity
    Hispanic 46 2,496 1.8 0.89 (0.66, 1.2) <20 3,372 <5.9 1.4 (0.71, 2.9)
    NH Asian 62 3,444 1.8 0.63 (0.49, 0.82) <20 4,850 <4.1 0.41 (0.15, 1.1)
    NH Black 544 24,435 2.2 0.64 (0.58, 0.71) 48 31,102 1.5 0.55 (0.40, 0.76)
    NH White 3,233 61,943 5.2 1 (Ref.) 294 81,222 3.6 1 (Ref.)

* Results from binary logistic regression including age category, sex and race as independent variables in the same model.

** Per 1,000 person-years.

*** Results from Cox regression including age category, sex and race as independent variables in the same model.