Development of Clinical Prediction Models for Surgery and Complications in Crohn's Disease.

ABSTRACT:

Background and aims

Crohn's disease-related complications account for a substantial proportion of inflammatory bowel disease-associated health care expenditure. Identifying patients at risk for complications may allow for targeted use of early therapeutic interventions to offset this natural course. We aimed to develop risk prediction models for Crohn's disease-related surgery and complications.

Methods

Using data from the Randomised Evaluation of an Algorithm for Crohn's Disease cluster-randomised clinical Trial [REACT], which involved 1898 patients from 40 community practices, separate prediction models were derived and internally validated for predicting Crohn's disease-related surgery and disease-related complications [defined as the first disease-related surgery, hospit

SUBMITTER: Guizzetti L 

PROVIDER: S-EPMC5881746 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature