Analysis of risk factors for recurrence of Budd-Chiari syndrome: A retrospective study with zero-inflated model.

ABSTRACT: This study aims to identify an optimal model for assessing the recurrence frequency of Budd-Chiari syndrome (BCS) and further analyze the factors contributing to BCS recurrence. A total of 754 patients who were admitted to the Affiliated Hospital of Xuzhou Medical University between January 2015 and July 2022 were included. We constructed 4 different count outcome models: Poisson, negative binomial (NB) model, zero-inflated Poisson (ZIP) model, and zero-inflated negative binomial (ZINB) model. We selected the model with the best fitting performance to explore factors associated with BCS recurrence. Of 754 respondents, 511 reported no recurrence. Log-likelihood ratio tests indicated that the NB model performed better than the Poisson regression model (χ2 = 124.91, P < .001), and the ZINB mo

SUBMITTER: Li S 

PROVIDER: S-EPMC12643598 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature