Literature DB >> 26423778

A trend analysis of antimicrobial resistance in commensal Escherichia coli from several livestock species in Belgium (2011-2014).

Jean-Baptiste Hanon1, Stijn Jaspers2, Patrick Butaye3, Pierre Wattiau4, Estelle Méroc4, Marc Aerts2, Hein Imberechts4, Katie Vermeersch5, Yves Van der Stede6.   

Abstract

A temporal trend analysis was performed on antimicrobial resistance data collected over 4 consecutive years (2011-2014) in the official Belgian antimicrobial resistance monitoring programme. Commensal Escherichia coli strains were isolated from faecal samples of four livestock categories (veal calves, young beef cattle, broiler chickens and slaughter pigs) and the trends of resistance profiles were analysed. The resistance prevalence remained high (>50%) during the study period for ampicillin in veal calves and chickens, for ciprofloxacin and nalidixic acid in chickens, for sulfamethoxazole in veal calves, chickens and pigs and for tetracycline in veal calves. Using logistic regression and Generalized Estimating Equation and after p value adjustment for multiple testing (Linear step-up method), statistically significant decreasing temporal trends were observed for several of the 11 tested antimicrobials in several livestock categories: in veal calves (10/11), in chickens (6/11) and in pigs (5/11). A significant increasing trend was observed for the prevalence of resistance to ciprofloxacin in chickens. Multi-resistance, considered as the resistance to at least three antimicrobials of different antibiotic classes, was observed in the four livestock categories but was significantly decreasing in veal calves, chickens and pigs. Overall, the prevalence of resistance and of multi-resistance was lowest in the beef cattle livestock category and highest in broiler chickens. These decreasing temporal trends of antimicrobial resistance might be due to a decrease of the total antimicrobial consumption for veterinary use in Belgium which was reported for the period between 2010 and 2013. The methodology and statistical tools developed in this study provide outputs which can detect shifts in resistance levels or resistance trends associated with particular antimicrobial classes and livestock categories. Such outputs can be used as objective evidence to evaluate the possible efficacy of measures taken by animal health authorities and stakeholders in the livestock sector to limit antimicrobial resistance occurrence.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Antimicrobial resistance; Commensal bacteria; E. coli; Monitoring; Surveillance; Trend analysis

Mesh:

Substances:

Year:  2015        PMID: 26423778     DOI: 10.1016/j.prevetmed.2015.09.001

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  12 in total

1.  Dissecting microbial communities and resistomes for interconnected humans, soil, and livestock.

Authors:  Alexandre Maciel-Guerra; Michelle Baker; Yue Hu; Wei Wang; Xibin Zhang; Jia Rong; Yimin Zhang; Jing Zhang; Jasmeet Kaler; David Renney; Matthew Loose; Richard D Emes; Longhai Liu; Junshi Chen; Zixin Peng; Fengqin Li; Tania Dottorini
Journal:  ISME J       Date:  2022-09-23       Impact factor: 11.217

2.  Lactic Acid Bacteria as Biological Control of Staphylococcus aureus in Coalho Goat Cheese.

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Journal:  Food Technol Biotechnol       Date:  2018-09       Impact factor: 3.918

3.  Monitoring antimicrobial resistance trends in commensal Escherichia coli from livestock, the Netherlands, 1998 to 2016.

Authors:  Ayla Hesp; Kees Veldman; Jeanet van der Goot; Dik Mevius; Gerdien van Schaik
Journal:  Euro Surveill       Date:  2019-06

4.  Co-resistance to Amoxicillin and Tetracycline as an Indicator of Multidrug Resistance in Escherichia coli Isolates From Animals.

Authors:  Clémence Bourély; Géraldine Cazeau; Nathalie Jarrige; Eric Jouy; Marisa Haenni; Agnese Lupo; Jean-Yves Madec; Agnès Leblond; Emilie Gay
Journal:  Front Microbiol       Date:  2019-10-09       Impact factor: 5.640

5.  Antimicrobial use policy change in pre-weaned dairy calves and its impact on antimicrobial resistance in commensal Escherichia coli: a cross sectional and ecological study.

Authors:  Josephine A Afema; Margaret A Davis; William M Sischo
Journal:  BMC Microbiol       Date:  2019-09-12       Impact factor: 3.605

6.  A hierarchical Bayesian latent class mixture model with censorship for detection of linear temporal changes in antibiotic resistance.

Authors:  Min Zhang; Chong Wang; Annette O'Connor
Journal:  PLoS One       Date:  2020-01-31       Impact factor: 3.240

7.  Occurrence of Escherichia coli non-susceptible to quinolones in faecal samples from fluoroquinolone-treated, contact and control pigs of different ages from 24 Swiss pig farms.

Authors:  Morena Amsler; Katrin Zurfluh; Sonja Hartnack; Xaver Sidler; Roger Stephan; Dolf Kümmerlen
Journal:  Porcine Health Manag       Date:  2021-04-02

Review 8.  Antibiotics and Antibiotic Resistance Genes in Animal Manure - Consequences of Its Application in Agriculture.

Authors:  Magdalena Zalewska; Aleksandra Błażejewska; Agnieszka Czapko; Magdalena Popowska
Journal:  Front Microbiol       Date:  2021-03-29       Impact factor: 5.640

9.  A Bayesian approach to modeling antimicrobial multidrug resistance.

Authors:  Min Zhang; Chong Wang; Annette O'Connor
Journal:  PLoS One       Date:  2021-12-29       Impact factor: 3.240

10.  Resistance Reservoirs and Multi-Drug Resistance of Commensal Escherichia coli From Excreta and Manure Isolated in Broiler Houses With Different Flooring Designs.

Authors:  Bussarakam Chuppava; Birgit Keller; Amr Abd El-Wahab; Christian Sürie; Christian Visscher
Journal:  Front Microbiol       Date:  2019-11-08       Impact factor: 5.640

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