Prévalence des marqueurs biologiques de la maladie cœliaque dans une cohorte d’enfants et d’adolescents diabétiques de type I

International audienceThe aim of this study was to determine the prevalence of celiac disease (CD) markers in a French cohort of 84 children type 1 diabetics. Detection of antitransglutaminase (AtTG), antiendomysium (AEA) and antigliadin (AGA) antibodies was performed. Group 1 included 81 (96.4%) diabetic patients with negative antibodies. Group 2 included 3 patients (3.6%) with positive serological markers: 1 AGA-AEA-AtTG and 1 AEA-AtTG with proved histological diagnosis and 1 AGA positive with negative histology. No statistically significant difference was observed between the groups with regard to age, duration of diabetes, familial target stature, and ratios Height/Age and Weight/Height. Presence of CD serological markers was related to a lower level of HbA1c. Prevalence of CD serological markers is important in this French cohort but lower than other countries

A Novel 8-Predictors Signature to Predict Complicated Disease Course in Pediatric-onset Crohn’s Disease: A Population-based Study

International audienceBackground The identification of patients at high risk of a disabling disease course would be invaluable in guiding initial therapy in Crohn’s disease (CD). Our objective was to evaluate a combination of clinical, serological, and genetic factors to predict complicated disease course in pediatric-onset CD. Methods Data for pediatric-onset CD patients, diagnosed before 17 years of age between 1988 and 2004 and followed more than 5 years, were extracted from the population-based EPIMAD registry. The main outcome was defined by the occurrence of complicated behavior (stricturing or penetrating) and/or intestinal resection within the 5 years following diagnosis. Lasso logistic regression models were used to build a predictive model based on clinical data at diagnosis, serological data (ASCA, pANCA, anti-OmpC, anti-Cbir1, anti-Fla2, anti-Flax), and 369 candidate single nucleotide polymorphisms. Results In total, 156 children with an inflammatory (B1) disease at diagnosis were included. Among them, 35% (n = 54) progressed to a complicated behavior or an intestinal resection within the 5 years following diagnosis. The best predictive model (PREDICT-EPIMAD) included the location at diagnosis, pANCA, and 6 single nucleotide polymorphisms. This model showed good discrimination and good calibration, with an area under the curve of 0.80 after correction for optimism bias (sensitivity, 79%, specificity, 74%, positive predictive value, 61%, negative predictive value, 87%). Decision curve analysis confirmed the clinical utility of the model. Conclusions A combination of clinical, serotypic, and genotypic variables can predict disease progression in this population-based pediatric-onset CD cohort. Independent validation is needed before it can be used in clinical practice