Documentation scienceplus.abes.fr version Bêta

À propos de : Phenotype at diagnosis predicts recurrence rates in Crohn’s disease        

AttributsValeurs
type
Is Part Of
Subject
Title
  • Phenotype at diagnosis predicts recurrence rates in Crohn’s disease
has manifestation of work
related by
Abstract
  • Background: In Crohn’s disease (CD), studies associating phenotype at diagnosis and subsequent disease activity are important for patient counselling and health care planning. Aims: To calculate disease recurrence rates and to correlate these with phenotypic traits at diagnosis. Methods: A prospectively assembled uniformly diagnosed European population based inception cohort of CD patients was classified according to the Vienna classification for disease phenotype at diagnosis. Surgical and non-surgical recurrence rates throughout a 10 year follow up period were calculated. Multivariate analysis was performed to classify risk factors present at diagnosis for recurrent disease. Results: A total of 358 were classified for phenotype at diagnosis, of whom 262 (73.2%) had a first recurrence and 113 patients (31.6%) a first surgical recurrence during the first 10 years after diagnosis. Patients with upper gastrointestinal disease at diagnosis had an excess risk of recurrence (hazard ratio 1.54 (95% confidence interval (CI) 1.13-2.10)) whereas age ⩾40 years at diagnosis was protective (hazard ratio 0.82 (95% CI 0.70-0.97)). Colonic disease was a protective characteristic for resective surgery (hazard ratio 0.38 (95% CI 0.21-0.69)). More frequent resective surgical recurrences were reported from Copenhagen (hazard ratio 3.23 (95% CI 1.32-7.89)). Conclusions: A mild course of disease in terms of disease recurrence was observed in this European cohort. Phenotype at diagnosis had predictive value for disease recurrence with upper gastrointestinal disease being the most important positive predictor. A phenotypic North-South gradient in CD may be present, illustrated by higher surgery risks in some of the Northern European centres.
article type
is part of this journal
PubMed ID
  • 16361306



Alternative Linked Data Documents: ODE     Content Formats:       RDF       ODATA       Microdata