Nine predictors were significant in both models, and after recombination of the data subsets the final prediction model with predictors in rank order of predictive strength included: (1) age, (2) coronary artery disease, (3) blood urea nitrogen, (4) atrial fibrillation, (5) hemoglobin A1c, (6) blood albumin, (7) systolic blood pressure, (8) chronic kidney disease, and (9) smoking history (Table 2). Here, ALB is linked to atrial fibrillation.