Objective To investigate independent risk factors for bleeding events within 1-year after percutaneous coronary intervention (PCI) in patients with coronary heart disease (CHD) and atrial fibrillation (AF) and to establish a predictive model. Methods A retrospective study was conducted to collect clinical data from 100 patients with CHD and AF who underwent PCI between January 2021 and December 2025. Patients were followed for one year and categorized into a bleeding group (n＝20) and a non-bleeding group (n＝80) based on bleeding events. A logistic regression analysis was performed to screen and construct a nomogram model. The model""s performance was evaluated using receiver operator characteristic (ROC) curve, calibration curves, and decision curve analysis (DCA). Results The incidence of bleeding within one year post-surgery was 20.00% (20/100). Multivariable analysis demonstrated that prior bleeding history, D-dimer (D-D), HAS-BLED score, international normalized ratio (INR), and serum creatinine (Scr) were independent risk factors of postoperative bleeding (all P＜0.05). The area under the curve (AUC) of the nomogram model was 0.932, with a C-index of 0.856. Internal validation using the Bootstrap method indicated good consistency between the predicted probability and the actual incidence. Furthermore, DCA confirmed that the model possessed high clinical net benefit. Conclusion Independent factors influencing postoperative bleeding within 1-year after PCI in patients with CHD and AF include prior bleeding history, D-D, HAS-BLED score, INR, and Scr. The predictive model established in this study demonstrates excellent discriminatory ability, providing scientific basis for early identification of postoperative bleeding risk, development of individualized anticoagulation strategies, and long-term follow-up management in this patient population.