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A non-invasive nomogram for high-risk esophageal varices in cirrhosis without transient elastography: development and
Yi Wu1,2, Junyang Luo3, Shuixian Yang1
1Department of Infectious Diseases, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Background:
Gastroesophageal varices (GOV) and variceal hemorrhage are major life-threatening complications of cirrhosis. Although esophagogastroduodenoscopy (EGD) remains the diagnostic gold standard, its invasiveness, cost, and limited patient adherence underscore the need for reliable non-invasive risk-stratification tools. We aimed to identify independent predictors of high-risk esophageal varices (HREV) and develop and validate a simple, cost-effective nomogram integrating routinely available clinical and ultrasonographic parameters.
Methods:
In this retrospective cohort study, we enrolled 575 cirrhotic patients hospitalized between January 2010 and December 2019. All participants underwent contemporaneous EGD and abdominal color Doppler ultrasonography during the same hospitalization. A nomogram was constructed based on independent predictors identified by multivariate analysis. Model performance was evaluated using the area under the receiver operating characteristic curve (AUROC), calibration curves, decision-curve analysis (DCA), and compared with established non-invasive scores (APRI, AAR, FIB-4, PC/SD) and with each individual predictor; the training-derived threshold was fixed and applied unchanged to the validation cohort.
Results:
Endoscopy identified HREV in 71.8% (413/575) of patients. Multivariate analysis revealed six independent predictors: male sex, hemoglobin (HGB), platelet count (PLT), right liver thickness (RLT), portal vein diameter (PVD), and spleen diameter (SD). The developed nomogram demonstrated satisfactory discrimination, with AUROCs of 0.803 (95% CI: 0.755-0.850) in the training cohort and 0.807 (95% CI: 0.734-0.880) in the validation cohort, outperforming the biochemical scores APRI and AAR, and significantly improving risk reclassification over both FIB-4 and the platelet count-to-spleen diameter (PC/SD) ratio (NRI and IDI, all P < 0.05). It also outperformed each single component in the training cohort (spleen diameter alone, 0.742; P = 0.003) but not in validation (P = 0.061); at the fixed threshold of 0.770 the negative predictive value was 48.2%. Calibration and DCA confirmed satisfactory predictive accuracy and clinical utility.
Conclusions:
A simple nomogram based on routine clinical and ultrasonographic variables stratified HREV risk and outperformed established biochemical scores. Its negative predictive value in this high-prevalence cohort was insufficient to defer endoscopy safely; the nomogram is therefore proposed for prioritising endoscopy where transient elastography is unavailable, rather than as a substitute for Baveno-based rule-out strategies. External validation in lower-prevalence populations is required.
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