OP009 A combination of clinical, serological, and genetic factors predicts complicated disease course in paediatric-onset Crohn’s disease: results from a population-based study
H. Sarter1,2*, G. Savoye3, D. Turck2,4, F. Vasseur5, G. Marot6,7, B. Pariente2,8, S. Singh9, J.F. Colombel10, C. Gower-Rousseau1,2, M. Fumery11
1Lille Hospital and University, Public Health, Epidemiology and Economic Health, Epimad Registry, Regional House of Clinical Research, Lille, France, 2Lille University, Lille Inflammation Research International Center LIRIC-UMR 995 Inserm, Lille, France, 3Rouen Hospital and University, Gastroenterology Unit, Epimad Registry, Rouen, France, 4Lille University Jeanne de Flandre Children’s Hospital and Faculty of Medicine, Division of Gastroenterology, Hepatology and Nutrition, Department of Pediatrics, Lille, France, 5Lille University and Hospital, Biostatistics Unit, EA 2694, Lille, France, 6Lille University and Hospital, EA 2694 - Santé publique : épidémiologie et qualité des soins, Lille, France, 7Inria Lille Nord Europe, Modal, Lille, France, 8Gastroenterology Unit, Epimad Registry, Lille Hospital and University, Lille, France, 9Prometheus Laboratories Inc., San Diego, USA, 10Icahn School of Medicine at Mount Sinai, Division of Gastroenterology, New York, USA, 11Amiens Hospital and University, Gastroenterology Unit, EPIMAD Registry, Amiens, France
Identification of patients at high risk of progressing disease would be invaluable in guiding initial therapy in Crohn’s disease (CD). Clinical parameters at diagnosis are insufficient to predict a disabling course of CD.1 The objective of this study was to evaluate a combination of clinical, serological, and genetic factors to predict complicated disease course in paediatric-onset CD.
Paediatric-onset CD patients, diagnosed before 17 years between 1988 and 2004 and followed more than 5 years were extracted from the French population-based Epimad registry. Complicated disease course was defined by the evolution from an inflammatory (B1) to a complicated behaviour (stricturing B2, or penetrating B3); or an intestinal resection. Available data included clinical data at diagnosis, serological markers at inclusion (ASCA, ANCA, anti-OmpC, anti-Cbir1, anti-Fla2, anti-Flax) and 370 candidate single-nucleotide polymorphisms (SNP) associated with CD or other immune-mediated diseases or with a role in inflammation pathways, interaction with micro-organisms, or modulation of innate immunity. Lasso logistic regression models with stability selection were used to select variants associated with severe disease. A final logistic adaptive lasso regression model was performed including clinical, serological and selected variants.
A total of 219 patients were included in this study with a median age at diagnosis of 14.3 years (IQR 11.9–16.0). One-third (
In this population-based paediatric-onset CD cohort, a combination of clinical, serotypic, and genotypic variables is able to predict disease progression with a high accuracy. After validation in an independent cohort, this prediction score will be helpful to identify patients needing early biological therapy.