Fine-scale geographical distribution and ecological risk factors for Crohn's disease in France (2007-2014)

Michaël Genin (1, 2) , Mathurin Fumery (3, 4) , Florent Occelli (5) , Guillaume Savoye (6, 7, 8, 9, 3) , Benjamin Pariente (10, 3) , Luc Dauchet (11) , Jonathan Giovannelli (12, 3) , Cécile Vignal (13) , Mathilde Body-Malapel (13) , Hélène Sarter (12, 13) , Corinne Gower-Rousseau (3, 12, 13) , Grégoire Ficheur (1, 2)

1 METRICS - Evaluation des technologies de santé et des pratiques médicales - ULR 2694
2 Unité de Méthodologie et Biostatistique [Centre Oscar Lambret, Lille]
3 Registre EPIMAD
4 Service d'Hépato Gastroenterologie [CHU Amiens-Picardie]
5 IMPECS - Impact de l'environnement chimique sur la santé humaine - ULR 4483
6 Service d'Hépato-Gastroentérologie [CHU Rouen]
7 ADEN - Nutrition, inflammation et dysfonctionnement de l'axe intestin-cerveau
8 IRIB - Institute for Research and Innovation in Biomedicine
9 UNIROUEN UFR Santé - UNIROUEN - UFR Santé
10 CHRU Lille - Centre Hospitalier Régional Universitaire [Lille]
11 RID-AGE - Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167
12 Service d'Epidémiologie et de Santé Publique [Lille]
13 INFINITE (Ex-Liric) - Institute for Translational Research in Inflammation - U 1286

Geographical variations in Crohn's disease (CD) suggest that the environment has a role in the pathogenesis of this condition. AIMS: To describe the spatial distribution and the clustering of CD cases in France, and to assess the relationship between the prevalence of CD and environmental risk factors. METHODS: We identified all patients with CD included in the French hospital discharge database from 2007 to 2014. Age- and gender-smoothed standardised prevalence ratios over this period were computed for 5610 spatial units. An ecological regression analysis was used to assess the relationship between the risk of CD and ecological variables (health care, latitude, socio-economic deprivation, urbanisation, proportion of agricultural surfaces and density of industries). Local spatial clusters of high-CD prevalence were searched for using elliptic spatial scan statistics and characterised in a hierarchical ascendant classification based on the same ecological variables. RESULTS: About 129 089 patients with CD were identified, yielding a crude prevalence of 203 per 100 000 inhabitants. The overall spatial heterogeneity was statistically significant (P < .001). An elevated risk of CD was found to be significantly associated with high-social deprivation (relative risk [95% confidence interval] = 1.05 [1.02-1.08]) and high urbanisation (1.09 [1.04-1.14]). Sixteen significant spatial clusters of high-CD prevalence were identified; there were no common ecological variables. CONCLUSIONS: The geographical distribution of CD prevalence in France is not uniform, and is associated with high levels of social deprivation and urbanisation. Larger ecological databases integrating more detailed environmental and clinical information are needed.

Domains: Life Sciences [q-bio]; Human health and pathology; Hépatology and Gastroenterology

Michaël Genin, Mathurin Fumery, Florent Occelli, Guillaume Savoye, Benjamin Pariente, et al.. Fine-scale geographical distribution and ecological risk factors for Crohn's disease in France (2007-2014). Alimentary Pharmacology & Therapeutics (Suppl), 2020, 51 (1), pp.139-148. ⟨10.1111/apt.15512⟩. ⟨hal-02474470⟩