TABLE 1.
Sample Characteristics
| Overall (N = 16,937) | Screened (n = 7,989) | Control (n = 8,948) | |
|---|---|---|---|
| Age, y | 74.7 ± 7.0 | 74.6 ± 6.9 | 74.8 ± 7.1 |
|
| |||
| Race | |||
| White | 13,985 (83) | 6,577 (82) | 7,408 (83) |
| Black | 863 (5.1) | 436 (5.5) | 427 (4.8) |
| Hispanic | 369 (2.2) | 196 (2.5) | 173 (1.9) |
| Other | 1,404 (8.3) | 639 (8.0) | 765 (8.5) |
| Unknown | 316 (1.9) | 141 (1.8) | 175 (2.0) |
|
| |||
| Sex | |||
| Female | 9,654 (57) | 4,624 (58) | 5,030 (56) |
| Male | 7,283 (43) | 3,365 (42) | 3,918 (44) |
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| |||
| Height, cm | 164.8 ± 10.7 | 164.9 ± 10.8 | 164.8 ± 10.7 |
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| |||
| Weight, kg | 76.9 ± 17.8 | 76.7 ± 17.7 | 77.1 ± 17.8 |
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| |||
| Systolic blood pressure, mm Hg | 131.1 ± 16.4 | 131.3 ± 16.2 | 130.9 ± 16.6 |
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| |||
| Diastolic blood pressure, mm Hg | 73.9 ± 8.7 | 74.4 ± 8.5 | 73.4 ± 8.8 |
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| |||
| Current smoker | 856 (5.1) | 367 (4.6) | 489 (5.5) |
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| |||
| Primary care visits in preceding year | 5.2 ± 5.2 | 5.0 ± 5.1 | 5.5 ± 5.4 |
|
| |||
| Use of antihypertensive medication | 13,427 (79) | 6,308 (79) | 7,119 (80) |
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| |||
| Diabetes | 4,707 (28) | 2,220 (28) | 2,487 (28) |
|
| |||
| History of myocardial infarction | 1,866 (11) | 893 (11) | 973 (11) |
|
| |||
| History of heart failure | 2,648 (16) | 1,257 (16) | 1,391 (16) |
|
| |||
| CHARGE-AF scorea | 13.7 ± 0.99 | 13.6 ± 0.98 | 13.7 ± 1.00 |
|
| |||
| ECG-AI scorea | −0.57 ± 0.75 | −0.59 ± 0.75 | −0.55 ± 0.76 |
|
| |||
| CH-AI scorea | 4.6 ± 0.79 | 4.6 ± 0.78 | 4.6 ± 0.79 |
Values are mean ± SD or n (%).
a
Scores can be converted to 2-y risk of AF in VITAL-AF as follows: CHARGE-AF: 1 – 0.9627745exp(ΣβX−13.65969); ECG-AI: 1 – 0.9640965exp(ΣβX+0.5710836); CH-AI: 1 – 0.9662516 exp(ΣβX−4.59939), where ΣβX refers to the listed score value.
AF = atrial fibrillation; CH-AI = Cohorts for Aging Research in Genomic Epidemiology-Atrial Fibrillation plus electrocardiogram-based artificial intelligence; CHARGE-AF = Cohorts for Aging Research in Genomic Epidemiology-Atrial Fibrillation; ECG-AI = electrocardiogram-based artificial intelligence.