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Table 3. Characteristics of patients in the proof-of-concept implementation

From: Development, validation, and proof-of-concept implementation of a two-year risk prediction model for undiagnosed atrial fibrillation using common electronic health data (UNAFIED)

  UNAFIED patients Non-UNAFIED patients All
No. 7916 14356 22272
Race, no. (%)
 Black or African American 4129 (52.16%) 6065 (42.25%) 10194 (45.77%)
  White 3009 (38.01%) 5189 (36.15%) 8198 (36.81%)
  Unknown 451 (5.70%) 2114 (14.73%) 2565 (11.52%)
  More than one race 155 (1.96%) 530 (3.69%) 685 (3.08%)
  Native Hawaiian or other Pacific Islander 45 (0.57%) 202 (1.41%) 247 (1.11%)
  Asian 109 (1.38%) 217 (1.51%) 326 (1.46%)
  American Indian or Alaska Native 18 (0.23%) 39 (0.27%) 57 (0.26%)
Ethnicity, no. (%)
 Not Hispanic, Latino/a, or Spanish origin 7171 (90.59%) 10913 (76.02%) 18084 (81.20%)
 Hispanic or Latino 595 (7.52%) 2982 (20.77%) 3577 (16.06%)
 Unknown 150 (1.89%) 461 (3.21%) 611 (2.74%)
Age, no. (%), years
 40–44 117 (1.48%) 3222 (22.44%) 3339 (14.99%)
 45–54 445 (5.62%) 5968 (41.57%) 6413 (28.79%)
 55–64 2981 (37.66%) 4203 (29.28%) 7184 (32.26%)
 65–74 2815 (35.56%) 750 (5.22%) 3565 (16.01%)
 75–84 1175 (14.84%) 152 (1.06%) 1327 (5.96%)
 85+ 383 (4.84%) 61 (0.42%) 444 (1.99%)
Age, mean (SD), years 66.46 (9.82) 51.99 (8.53) 57.14 (11.37)
Sex, no. (%)
 Female 3930 (49.65%) 9113 (63.48%) 13043 (58.56%)
 Male 3986 (50.35%) 5243 (36.52%) 9229 (41.44%)
CHA2DS2-VASc, mean (SD) 2.557 (1.83) 1.213 (1.40) 1.691 (1.69)