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ABSTRACT: Background
Models to predict colectomy in ulcerative colitis (UC) are valuable for identification, clinical management, and follow-up of high-risk patients. Our aim was to develop a clinical predictive model based on admission data for one-year colectomy in adults hospitalized for severe UC.Methods
We performed a retrospective analysis of patients hospitalized at a tertiary academic center for management of severe UC from 1/2013 to 4/2018. Multivariate regression was performed to identify individual predictors of one-year colectomy. Outcome probabilities of colectomy based on the prognostic score were estimated using a bootstrapping technique.Results
Two hundred twenty-nine individuals were included in the final analytic cohort. Four independent variables were assoc
SUBMITTER: Zafer M
PROVIDER: S-EPMC9802419 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature