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Assessment of nomogram model for the prediction of esophageal variceal hemorrhage in hepatitis B-induced hepatic cirrhosis by Jing Xu; Lin Tan; Ning Jiang; Fengcheng Li; Jinling Wang; Beibei Wang; Shasha Li is a Medicine article available to read on EtoBox.

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## Background Esophageal variceal (EV) hemorrhage is a life-threatening consequence of portal hypertension in hepatitis B virus (HBV) -induced cirrhotic patients. Screening upper endoscopy and endoscopic variceal ligation to find EVs for treatment have complications, contraindications, and high costs. We sought to identify the nomogram models (NMs) as alternative predictions for the risk of EV hemorrhage. ## Methods In this case-control study, we retrospectively analyzed 241 HBV-induced liver cirrhotic patients treated for EVs at the Second People’s Hospital of Fuyang City, China from January 2021 to April 2023. We applied univariate analysis and multivariate logistic regression to assess the accuracy of various NMs in EV hemorrhage. The area under the curve (AUC) and calibration curves of the receiver’s operating characteristics were used to evaluate the predictive accuracy of the nomogram. Decision curve analysis (DCA) was used to determine the clinically relevant of nomograms. ## Results In the prediction group, multivariate logistic regression analysis identified platelet distribution and spleen length as independent risk factors for EVs. We applied NMs as the independent risk

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Author

Jing Xu; Lin Tan; Ning Jiang; Fengcheng Li; Jinling Wang; Beibei Wang; Shasha Li

Publisher

Ovid Technologies (Wolters Kluwer Health)

Published

2024

Language

EN

Field

Medicine (Health Sciences)