Cefotaxime-resistant Escherichia coli in broiler farms—A cross-sectional investigation in Germany

Hering, Johanna; Frömke, Cornelia; Münchhausen, Christiane von; Hartmann, Maria; Schneider, B.; Friese, Anika; Rösler, Uwe; Kreienbrock, Lothar; Hille, Katja

doi:10.1016/j.prevetmed.2016.01.003

Cited by 30 publications

(38 citation statements)

References 16 publications

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“…In contrast to the results by Hering et al (17), the factors associated with antibiotic consumption presented here are slightly different. Variables that were applied to backward selection both, in Hering et al (17) and in the present publication were: “Separate pen for diseased pigs,” “Moving single pigs,” “Water birds in 1 km radius of farm,” “Disinfection of livestock trail,” and “Disinfection with chlorine.” The only factor with a p -value < 0.05 in both publications was “Separate pen for diseased pigs,” which is a measure of hygiene indeed.…”

Section: Results: Application To the Reset Studycontrasting

confidence: 99%

“…Variables that were applied to backward selection both, in Hering et al (17) and in the present publication were: “Separate pen for diseased pigs,” “Moving single pigs,” “Water birds in 1 km radius of farm,” “Disinfection of livestock trail,” and “Disinfection with chlorine.” The only factor with a p -value < 0.05 in both publications was “Separate pen for diseased pigs,” which is a measure of hygiene indeed. Additional factors with a p -value < 0.05 in the multiple Poisson regression by Hering et al (17) were “Ventilation” and “Control of flies with toxin” while in the analyses presented here the variables “Moving single pigs,” “Use of purchased feed,” “Disinfection of livestock trail,” and “Number of fattening pigs (>1,500)” were identified also. In fact, the factors identified here, seem to be more in line with the biology of antibiotic resistance transmission.…”

Section: Results: Application To the Reset Studymentioning

confidence: 90%

“…This problem often appears in resistance research, where a lot of samples are negative [e.g., in broiler chicken, see Ref. (16, 17)] or vice versa [e.g., Ref. (18)].…”

Section: Methodsmentioning

confidence: 99%

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Antibiotic Resistances in Livestock: A Comparative Approach to Identify an Appropriate Regression Model for Count Data

et al. 2017

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Antimicrobial resistance in livestock is a matter of general concern. To develop hygiene measures and methods for resistance prevention and control, epidemiological studies on a population level are needed to detect factors associated with antimicrobial resistance in livestock holdings. In general, regression models are used to describe these relationships between environmental factors and resistance outcome. Besides the study design, the correlation structures of the different outcomes of antibiotic resistance and structural zero measurements on the resistance outcome as well as on the exposure side are challenges for the epidemiological model building process. The use of appropriate regression models that acknowledge these complexities is essential to assure valid epidemiological interpretations. The aims of this paper are (i) to explain the model building process comparing several competing models for count data (negative binomial model, quasi-Poisson model, zero-inflated model, and hurdle model) and (ii) to compare these models using data from a cross-sectional study on antibiotic resistance in animal husbandry. These goals are essential to evaluate which model is most suitable to identify potential prevention measures. The dataset used as an example in our analyses was generated initially to study the prevalence and associated factors for the appearance of cefotaxime-resistant Escherichia coli in 48 German fattening pig farms. For each farm, the outcome was the count of samples with resistant bacteria. There was almost no overdispersion and only moderate evidence of excess zeros in the data. Our analyses show that it is essential to evaluate regression models in studies analyzing the relationship between environmental factors and antibiotic resistances in livestock. After model comparison based on evaluation of model predictions, Akaike information criterion, and Pearson residuals, here the hurdle model was judged to be the most appropriate model.

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Section: Results: Application To the Reset Studycontrasting

confidence: 99%

Section: Results: Application To the Reset Studymentioning

confidence: 90%

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Antibiotic Resistances in Livestock: A Comparative Approach to Identify an Appropriate Regression Model for Count Data

et al. 2017

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“…In addition, the differences found in the frequencies of the ESBL-producing isolates in the present and in the aforementioned studies (Schmid et al, 2013;Hering et al, 2016;Von Salviati et al, 2014) may be related to differences in the animal hosts, the animal production systems, the design of the studies, or the protocols for the isolation and screening of the ESBL-producing isolates. Being aware of all these factors, especially the sampling strategy of the GERM-Vet monitoring program, the low frequencies of the clinical ESBL-producing isolates detected in diseased members of each animal species per year in the present study cannot be regarded as the overall frequencies of ESBL producers in the respective livestock in Germany.…”

Section: Identification Of Esbl-producing Isolates and Their Distribumentioning

confidence: 62%

“…In contrast, distinctly higher numbers of cattle samples from faeces (1003/2896; 34.6%) or from intestinal content (394/2896; 13.6%), as well as of pig samples from faeces (290/1562; 18.6%) or intestinal tissue (838/ 1562; 53.6%) were investigated in the GERM-Vet monitoring program. As such, the very low percentages of ESBL-producing isolates from poultry contrasted also with the high frequency of cefotaxime-resistant E. coli isolates (82.0%, 80.0% or 63.0% among isolates from faeces, boot swabs or dust, respectively) found in broiler farms in Germany (Hering et al, 2016). High rates of ESBLproducing E. coli isolates (45%, 29% and 36%) have also been detected in faecal samples from fattening pigs (Von Salviati et al, 2014) and from calves (56.2%), dairy cattle (41.1%) and beef cattle (21.4%) (Schmid et al, 2013).…”

Section: Identification Of Esbl-producing Isolates and Their Distribumentioning

confidence: 97%

Extended-spectrum β-lactamase (ESBL)-producing Escherichia coli isolates collected from diseased food-producing animals in the GERM-Vet monitoring program 2008–2014

Michael

Kaspar

Siqueira

et al. 2017

Veterinary Microbiology

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Therapierelevante Antibiotikaresistenzen im One-Health-Kontext

Werner

Sin

Bahrs

et al. 2023

Bundesgesundheitsbl

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Zusammenfassung„One Health“ bezeichnet ein Konzept, das die Gesundheit von Menschen, Tieren und der Umwelt miteinander verbindet. In Deutschland gibt es umfangreiche Daten zur Antibiotikaresistenz (AMR) und multiresistenten Erregern (MRE) in der Human- und Veterinärmedizin sowie aus Untersuchungen in verschiedenen Umweltkompartimenten (Boden, Wasser, Abwasser). Die Erhebung erfolgt nach unterschiedlichen Vorgaben und Standards, was den Vergleich von Daten erschwert. Ein Fokus auf humantherapeutisch wichtige AMR und MRE ist hilfreich, um eine gewisse Orientierung vorzugeben. Die meisten Daten liegen sektorübergreifend zu Methicillin-resistenten Staphylococcus aureus und multiresistenten Enterobacterales wie Escherichia coli und Klebsiella pneumoniae vor. Hier sind die Trends der Resistenzen heterogen. Der Einsatz von Antibiotika führt zur Selektion von MRE, was gut dokumentiert ist. Erfolge bei der Minimierung des Antibiotikaeinsatzes konnten in zurückliegenden Jahren für einzelne Sektoren dargestellt und z. T. mit Erfolgen in der Eindämmung von AMR und MRE korreliert werden (Rückgang MRSA in der Humanmedizin). Auch sektorspezifische Maßnahmen zur Senkung der Last durch MRE und AMR sind notwendig, da Resistenzprobleme nicht generell eine Verknüpfung mit anderen Sektoren aufweisen. Carbapenemresistenzen sind vor allem bei pathogenen Erregern vom Menschen nachweisbar. Colistinresistenzen kommen in verschiedenen Sektoren vor, zeigen aber dort jeweils verschiedene Mechanismen. Resistenzen gegen Reservesubstanzen wie Linezolid sind in Deutschland selten, sie zeigen aber einen konkreten One-Health-Bezug. Bestrebungen zur Harmonisierung von Methoden, z. B. im Bereich der antimikrobiellen Empfindlichkeitstestung und genombasierten Erreger- und AMR-Surveillance, sind ein wichtiger erster Schritt zu einer Vergleichbarkeit der verschiedenen Datenerhebungen.

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Cefotaxime-resistant Escherichia coli in broiler farms—A cross-sectional investigation in Germany

Cited by 30 publications

References 16 publications

Antibiotic Resistances in Livestock: A Comparative Approach to Identify an Appropriate Regression Model for Count Data

Antibiotic Resistances in Livestock: A Comparative Approach to Identify an Appropriate Regression Model for Count Data

Extended-spectrum β-lactamase (ESBL)-producing Escherichia coli isolates collected from diseased food-producing animals in the GERM-Vet monitoring program 2008–2014

Therapierelevante Antibiotikaresistenzen im One-Health-Kontext

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