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

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

Aliment Pharmacol Ther. 2019 Oct 06;:

Authors: Genin M, Fumery M, Occelli F, Savoye G, Pariente B, Dauchet L, Giovannelli J, Vignal C, Body-Malapel M, Sarter H, Gower-Rousseau C, Ficheur G

Abstract
BACKGROUND: 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.

PMID: 31588597 [PubMed – as supplied by publisher]

PubMed Link: https://www.ncbi.nlm.nih.gov/pubmed/31588597?dopt=Abstract