Fig. 2: Relative importance of predictors from combined Cox models.

This figure shows the relative importance of each clinical variable and backward-selected biomarkers for different adverse cardiac outcomes, derived from combined multivariable Cox models. A shows relative importance of variables for the association with the composite outcome of cardiovascular death, nonfatal ischemic stroke, nonfatal systemic embolism, or nonfatal myocardial infarction. B shows relative importance of variables for the association with heart failure hospitalization. C shows relative importance of variables for the association with major bleeding. D shows relative importance of variables for the association with all strokes. E shows relative importance of variables for the association with ischemic stroke. F shows relative importance of variables for the association with myocardial infarction. G shows relative importance of variables for the association with cardiovascular death. H shows relative importance of variables for the association with all-cause death. I shows the relative importance of variables for the association with any bleeding. J shows relative importance of variables for the association with clinically relevant non-major (NM) bleeding. All outcomes were assessed in N = 3817 AF patients. Dots represent the partial χ2 – degree of freedom values. Source data are provided as a Source Data file. ALAT Alanine aminotransferase, ANG-2 Angiopoetin-2, BMI body mass index, CAD coronary artery disease, CKD chronic kidney disease, eGFR estimated glomerular filtration rate, GDF-15 growth differentiation factor‑15, hsTropT high-sensitivity troponin T, IGFBP-7 Insulin-like growth factor-binding protein-7, IL-6 Interleukin-6, NT-proBNP N-terminal pro-B-type natriuretic peptide, OPN Osteopontin, SBP Systolic blood pressure.