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ABSTRACT: Background
The clinical course of inflammatory bowel disease (IBD) varies widely, and identifying factors associated with severe disease is essential for risk stratification. Diabetes has been proposed as a potential determinant of adverse outcomes, yet its independent role in disease progression remains unclear.Methods
We retrospectively analyzed clinical data from patients with mild and severe IBD. Demographic, inflammatory, hepatic, and metabolic parameters were compared between groups. Logistic regression was used to identify independent predictors of severe IBD. Model performance was assessed using receiver operating characteristic curves, calibration analysis, and cross-validation. An inflammation-metabolism-liver coupling index (IMLCI) was constructed to integrate ke
SUBMITTER: Huang B
PROVIDER: S-EPMC12747988 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature