Ontology highlight
ABSTRACT: Background and aims
Crohn's disease [CD] is characterised by a heterogeneous disease course. Patient stratification at diagnosis using clinical, serological, or genetic markers does not predict disease course sufficiently to facilitate clinical decision making. The current study aimed to investigate the additive predictive value of histopathological features to discriminate between a long-term mild and severe disease course.Methods
Diagnostic biopsies from treatment-naïve CD patients with mild or severe disease courses in the first 10 years after diagnosis were reviewed by two gastrointestinal pathologists after developing a standardised form comprising 15 histopathological features. Multivariable logistic regression models were built to identify predictive features and com
SUBMITTER: Rezazadeh Ardabili A
PROVIDER: S-EPMC8575048 | biostudies-literature | 2021 Nov
REPOSITORIES: biostudies-literature