Multiple Biomarkers and Atrial Fibrillation in the General Population

2014 
Background: Different biological pathways have been related to atrial fibrillation (AF). Novel biomarkers capturing inflammation, oxidative stress, and neurohumoral activation have not been investigated comprehensively in AF. Methods and Results: In the population-based Gutenberg Health Study (n=5000), mean age 56611 years, 51% males, we measured ten biomarkers representing inflammation (C-reactive protein, fibrinogen), cardiac and vascular function (midregional pro adrenomedullin [MR-proADM], midregional pro atrial natriuretic peptide [MR-proANP], N-terminal pro-Btype natriuretic peptide [Nt-proBNP], sensitive troponin I ultra [TnI ultra], copeptin, and C-terminal pro endothelin-1), and oxidative stress (glutathioneperoxidase-1, myeloperoxidase) in relation to manifest AF (n=161 cases). Individuals with AF were older, mean age 64.968.3, and more often males, 71.4%. In Bonferroni-adjusted multivariable regression analyses strongest associations per standard deviation increase in biomarker concentrations were observed for the natriuretic peptides Nt-proBNP (odds ratio [OR] 2.89, 99.5% confidence interval [CI] 2.14–3.90; P,0.0001), MR-proANP (OR 2.45, 99.5% CI 1.91–3.14; P,0.0001), the vascular function marker MR-proADM (OR 1.54, 99.5% CI 1.20–1.99; P,0.0001), TnI ultra (OR 1.50, 99.5% CI 1.19–1.90; P,0.0001) and. fibrinogen (OR 1.44, 99.5% CI 1.19–1.75; P,0.0001). Based on a model comprising known clinical risk factors for AF, all biomarkers combined resulted in a net reclassification improvement of 0.665 (99.3% CI 0.441–0.888) and an integrated discrimination improvement of .13%. Conclusions: In conclusion, in our large, population-based study, we identified novel biomarkers reflecting vascular function, MR-proADM, inflammation, and myocardial damage, TnI ultra, as related to AF; the strong association of natriuretic peptides was confirmed. Prospective studies need to examine whether risk prediction of AF can be enhanced beyond clinical risk factors using these biomarkers.
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