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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)