BACKGROUND: Patients with decompensated liver cirrhosis suffering from esophagogastric variceal bleeding (EGVB) face high mortality. AIM: To investigate the risk factors for EGVB in patients with liver cirrhosis and establish a diagnostic nomogram. METHODS: Patients with liver cirrhosis who met the inclusion criteria were randomly divided into training and validation cohorts in a 6:4 ratio in this retrospective research. Univariate analysis, least absolute shrinkage and selection operator regression, and multivariate analysis were employed to establish the nomogram model. Calibration curve, the area under the receiver operating characteristic curve (AUC), and decision curve analysis (DCA) were applied to assess the discrimination, accuracy, and clinical practicability of the nomogram, respectively. RESULTS: A total of 1115 patients were enrolled in this study. The nomogram was established based on white blood cells ( CONCLUSION: This research constructed and validated a nomogram with perfect performance for predicting EGVB events in patients with liver cirrhosis, which could help clinicians with timely diagnosis, individualized treatment, and follow-up.