Antimicrobial Susceptibility Profiles of <i>Escherichia coli</i> Isolates from Clinical Cases of Ducks in Hungary Between 2022 and 2023
<b>Background</b>: Antimicrobial resistance (AMR) poses a growing threat to veterinary medicine and food safety. This study examines <i>Escherichia coli</i> antibiotic resistance patterns in ducks, focusing on multidrug-resistant (MDR) strains. Understanding resistance patter...
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MDPI AG
2025-05-01
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| author | Ádám Kerek Ábel Szabó Ákos Jerzsele |
| author_facet | Ádám Kerek Ábel Szabó Ákos Jerzsele |
| author_sort | Ádám Kerek |
| collection | DOAJ |
| description | <b>Background</b>: Antimicrobial resistance (AMR) poses a growing threat to veterinary medicine and food safety. This study examines <i>Escherichia coli</i> antibiotic resistance patterns in ducks, focusing on multidrug-resistant (MDR) strains. Understanding resistance patterns and predicting MDR occurrence are critical for effective intervention strategies. <b>Methods</b>: <i>E. coli</i> isolates were collected from duck samples across multiple regions. Descriptive statistics and resistance frequency analyses were conducted. A decision tree classifier and a neural network were trained to predict MDR status. Cross-resistance relationships were visualized using graph-based models, and Monte Carlo simulations estimated MDR prevalence variations. <b>Results</b>: Monte Carlo simulations estimated an average MDR prevalence of 79.6% (95% CI: 73.1–86.1%). Key predictors in MDR classification models were enrofloxacin, neomycin, amoxicillin, and florfenicol. Strong cross-resistance associations were detected between neomycin and spectinomycin, as well as amoxicillin and doxycycline. <b>Conclusions</b>: The high prevalence of MDR strains underscores the urgent need to revise antibiotic usage guidelines in veterinary settings. The effectiveness of predictive models suggests that machine learning tools can aid in the early detection of MDR, contributing to the optimization of treatment strategies and the mitigation of resistance spread. The alarming MDR prevalence in <i>E. coli</i> isolates from ducks reinforces the importance of targeted surveillance and antimicrobial stewardship. Predictive models, including decision trees and neural networks, provide valuable insights into resistance trends, while Monte Carlo simulations further validate these findings, emphasizing the need for proactive antimicrobial management. |
| format | Article |
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| institution | OA Journals |
| issn | 2079-6382 |
| language | English |
| publishDate | 2025-05-01 |
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| spelling | doaj-art-7df43f7247fa4fa8a63cb77aaef3bf1e2025-08-20T01:56:17ZengMDPI AGAntibiotics2079-63822025-05-0114549110.3390/antibiotics14050491Antimicrobial Susceptibility Profiles of <i>Escherichia coli</i> Isolates from Clinical Cases of Ducks in Hungary Between 2022 and 2023Ádám Kerek0Ábel Szabó1Ákos Jerzsele2Department of Pharmacology and Toxicology, University of Veterinary Medicine, István utca 2, HU-1078 Budapest, HungaryDepartment of Pharmacology and Toxicology, University of Veterinary Medicine, István utca 2, HU-1078 Budapest, HungaryDepartment of Pharmacology and Toxicology, University of Veterinary Medicine, István utca 2, HU-1078 Budapest, Hungary<b>Background</b>: Antimicrobial resistance (AMR) poses a growing threat to veterinary medicine and food safety. This study examines <i>Escherichia coli</i> antibiotic resistance patterns in ducks, focusing on multidrug-resistant (MDR) strains. Understanding resistance patterns and predicting MDR occurrence are critical for effective intervention strategies. <b>Methods</b>: <i>E. coli</i> isolates were collected from duck samples across multiple regions. Descriptive statistics and resistance frequency analyses were conducted. A decision tree classifier and a neural network were trained to predict MDR status. Cross-resistance relationships were visualized using graph-based models, and Monte Carlo simulations estimated MDR prevalence variations. <b>Results</b>: Monte Carlo simulations estimated an average MDR prevalence of 79.6% (95% CI: 73.1–86.1%). Key predictors in MDR classification models were enrofloxacin, neomycin, amoxicillin, and florfenicol. Strong cross-resistance associations were detected between neomycin and spectinomycin, as well as amoxicillin and doxycycline. <b>Conclusions</b>: The high prevalence of MDR strains underscores the urgent need to revise antibiotic usage guidelines in veterinary settings. The effectiveness of predictive models suggests that machine learning tools can aid in the early detection of MDR, contributing to the optimization of treatment strategies and the mitigation of resistance spread. The alarming MDR prevalence in <i>E. coli</i> isolates from ducks reinforces the importance of targeted surveillance and antimicrobial stewardship. Predictive models, including decision trees and neural networks, provide valuable insights into resistance trends, while Monte Carlo simulations further validate these findings, emphasizing the need for proactive antimicrobial management.https://www.mdpi.com/2079-6382/14/5/491<i>Escherichia coli</i>antimicrobial resistanceminimum inhibitory concentrationMICwaterfowlducks |
| spellingShingle | Ádám Kerek Ábel Szabó Ákos Jerzsele Antimicrobial Susceptibility Profiles of <i>Escherichia coli</i> Isolates from Clinical Cases of Ducks in Hungary Between 2022 and 2023 Antibiotics <i>Escherichia coli</i> antimicrobial resistance minimum inhibitory concentration MIC waterfowl ducks |
| title | Antimicrobial Susceptibility Profiles of <i>Escherichia coli</i> Isolates from Clinical Cases of Ducks in Hungary Between 2022 and 2023 |
| title_full | Antimicrobial Susceptibility Profiles of <i>Escherichia coli</i> Isolates from Clinical Cases of Ducks in Hungary Between 2022 and 2023 |
| title_fullStr | Antimicrobial Susceptibility Profiles of <i>Escherichia coli</i> Isolates from Clinical Cases of Ducks in Hungary Between 2022 and 2023 |
| title_full_unstemmed | Antimicrobial Susceptibility Profiles of <i>Escherichia coli</i> Isolates from Clinical Cases of Ducks in Hungary Between 2022 and 2023 |
| title_short | Antimicrobial Susceptibility Profiles of <i>Escherichia coli</i> Isolates from Clinical Cases of Ducks in Hungary Between 2022 and 2023 |
| title_sort | antimicrobial susceptibility profiles of i escherichia coli i isolates from clinical cases of ducks in hungary between 2022 and 2023 |
| topic | <i>Escherichia coli</i> antimicrobial resistance minimum inhibitory concentration MIC waterfowl ducks |
| url | https://www.mdpi.com/2079-6382/14/5/491 |
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