Investigating the link between the presence of enteroaggregative Escherichia coli and infectious intestinal disease in the United Kingdom, 1993 to 1996 and 2008 to 2009

Euro Surveill. 2013 Sep 12;18(37):20582. doi: 10.2807/1560-7917.es2013.18.37.20582.

Abstract

There are an estimated 17 million human diarrhoea cases annually in the United Kingdom. In 2008 and 2009, enteroaggregative E. coli (EAEC) were identified in 1.9% of stools. However, it remains unclear whether there is a causal link between presence of EAEC and disease. This study used bacterial load, the presence of co-infections and demographic data to assess if EAEC was independently associated with intestinal infectious disease. Quantitative real-time PCR data (Ct values) generated directly from stool specimens for several pathogen targets were analysed to identify multiple pathogens, including EAEC, in the stools of cases and healthy controls. Sensitivity and specificity using Ct value (60% and 60%) was not useful for identifying cases or controls, but an independent association between disease and EAEC presence was demonstrated: multivariate logistic regression for EAEC presence (odds ratio: 2.41; 95% confidence interval: 1.78–3.26; p<0.001). The population-attributable fraction was 3.3%. The group of bacteria known as EAEC are associated with gastrointestinal disease in at least half of the cases with EAEC positive stools. We conclude that the current definition of EAEC, by plasmid gene detection, includes true pathogens as well as non-pathogenic variants.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Case-Control Studies
  • Coinfection
  • Escherichia coli / genetics
  • Escherichia coli / isolation & purification*
  • Escherichia coli Infections / epidemiology
  • Escherichia coli Infections / microbiology*
  • Feces / microbiology
  • Female
  • Humans
  • Incidence
  • Intestinal Diseases / epidemiology
  • Intestinal Diseases / microbiology*
  • Logistic Models
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Real-Time Polymerase Chain Reaction
  • United Kingdom / epidemiology
  • Young Adult