Non-invasive prediction models for esophageal varices in cirrhotic patients
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Abstract
Objective: To describe the clinical and laboratory characteristics of patients with liver cirrhosis, examine the correlation between these characteristics and the presence of esophageal varices, and subsequently develop a prediction model for esophageal varices in these patients. Subject and method: We conducted a cross-sectional study that enrolled 100 cirrhotic patients from November 2022 to June 2023 at the Gastroenterology Clinic of Cho Ray Hospital. Result: The study population consisted of 100 cirrhosis patients, with 62 males and 38 females, aged from 28 to 87 years (mean age of 56.11 ± 11.22 years). Alcohol intake and hepatitis B, C virus remain the leading causes of liver fibrosis, acount for 79%. The rate of esophageal varices was 46%. There was a significant difference in the amount of hemoglobin, plateles, AST, total bilirubin, INR and albumin in the group of patients with and without esophageal varices (p<0.05). Non-invasive prediction models for esophageal varices in cirrhotic patients combined hemoglobin, platelets, total bilirubin and clinical ascites. The ROC curve analysis demonstrated that the model had an AUC of 0.839. Conclusion: The results of our study demonstrate that the non-invasive prediction models is a reliable predictor of esophageal varices in patients with liver cirrhosis.
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