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. Author manuscript; available in PMC: 2017 Dec 2.
Published in final edited form as: Pacing Clin Electrophysiol. 2016 Dec 2;39(12):1373–1378. doi: 10.1111/pace.12969

Table 1.

Comparison of baseline characteristics of the MESA participants according to the occurrence of subsequent atrial fibrillation

Baseline variable No AF
(N = 906)
AF
(N = 77)
P value
Age (years) 59 ± 9.5 67.7 ± 7.6 < 0.001
Gender Female 530 (58.5%) 30 (39.0%) 0.001
Male 376 (41.5%) 47 (61.0%)
Race/Ethnicity Caucasian 410 (45.3%) 41 (53.3%) 0.26
Chinese-
American
94 (10.4%) 20 (26%)
African-
American
190 (21.0%) 16 (20.8%)
Hispanic 212 (23.4%) 17 (22.1%)
BMI (Kg/m2) 28.5 ± 5.7 27.7 ± 5.0 0.24
Smoking status Never 460 (50.9%) 31 (40.2%) 0.19
Former smoker 308 (34.1%) 31 (40.3)
Current smoker 136 (15.0%) 15 (19.5%)
Education status < High school 148 (16.4%) 15 (19.5%) 0.48
≥ High school 756 (83.6%) 62 (80.5%)
Health insurance 819 (90.6%) 71 (92.2%) 0.64
Systolic BP (mm Hg) 123.3 ± 21.0 129.6 ± 20.7 0.012
Diastolic BP (mm Hg) 71.4 ± 10.3 70.9 ± 10.5 0.64
Total cholesterol (mg/dl) 195.4 ± 34.7 190.8 ± 39.2 0.27
HDL (mg/dl) 51.4 ± 14.4 48.5 ± 14.5 0.093
Lipid medications Yes 115 (12.7%) 12 (15.6%) 0.47
Hypertension medications Yes 295 (32.6%) 34 (44.2%) 0.039
Diabetes mellitus Yes 98 (10.8%) 12 (15.6%) 0.20
Ln HSP-60 (ng/ml) 9.60 ± 0.86 9.62 ± 0.76 0.87
Ln IL-6 (pg/ml) 0.12 ± 0.39 0.39 ± 0.62 0.006
Ln CRP (ng/ml) 0.68 ± 1.22 0.76 ± 1.27 0.59
Ln NT-proBNP
(pg/ml)
3.73 ± 1.15 4.62 ± 1.30 < 0.001
FGF-23 (pg/ml) 38.7 ± 14.2 44.2 ± 18.4 0.003

This table reflects univariate comparison between the two subgroups: “No AF” versus “AF”. BMI: Body mass index (Kg/m2), Systolic and diastolic blood pressure are expressed in mm HG, presence of health insurance is compared between the two subgroups, Log-transformed values of HSP-60, IL-6, CRP and NT-proBNP are used (Ln). Serum levels of FGF-23 are reflected in pg/ml, HDL: High density lipoprotein, IL-6: Interleukin 6, CRP: C-reactive protein, FGF-23: Fibroblast growth factor 23.

P values from ANOVA test for continuous variables and Chi-square for categorical variables.