Published online Mar 7, 2025. doi: 10.3748/wjg.v31.i9.102714
Revised: January 6, 2025
Accepted: January 18, 2025
Published online: March 7, 2025
Processing time: 114 Days and 17.8 Hours
Patients with decompensated liver cirrhosis suffering from esophagogastric variceal bleeding (EGVB) face high mortality.
To investigate the risk factors for EGVB in patients with liver cirrhosis and establish a diagnostic nomogram.
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.
A total of 1115 patients were enrolled in this study. The nomogram was estab
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.
Core Tip: This research retrospectively investigated the risk factors for esophagogastric variceal bleeding in patients with liver cirrhosis and established a diagnostic nomogram based on white blood cells, hemoglobin, fibrinogen, total bilirubin, activated partial thromboplastin time, total bile acid, and ascites. This model was further verified in the validation cohort and proved to perform well. The factors included in this model are non-invasive, inexpensive, and readily available on admission, which has excellent clinical promotion value.