Fifth, Chua et al.34 used the Olink antibody-based proteomics platform to predict AF and found that the addition of the plasma biomarkers BNP and FGF-23 to the clinical characteristics age, sex, and body mass index improved AF prediction with an AUC improvement of 0.11. Here, FGF23 is linked to atrial fibrillation.