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Antimicrobial Susceptibility Testing of Porcine Bacterial Pathogens: Investigating the Prospect of Testing a Representative Drug for Each Antimicrobial Family.

Anna VilaróElena NovellVicens Enrique-TaranconJordi BaliellesLourdes Migura-GarcíaLorenzo José Fraile
Published in: Antibiotics (Basel, Switzerland) (2022)
Antimicrobial susceptibility testing is necessary to carry out antimicrobial stewardship but a limited number of drugs belonging to each antimicrobial family has to be tested for technical limitations and economic resources. In this study, we have determined the minimal inhibitory concentration, using microdilution following international standards (CLSI), for 490 Actinobacillus pleuropneumoniae , 285 Pasteurella multocida , 73 Bordetella bronchiseptica , 398 Streptococcus suis and 1571 Escherichia coli strains from clinical cases collected in Spain between 2018 and 2020. The antimicrobial susceptibility pattern was deciphered using a principal component analysis for each bacterium and a matrix correlation (high > 0.8, medium 0.5-0.8 and low < 0.5) was obtained for each pair of antimicrobials. No significant associations were observed between MIC patterns for different antimicrobial families, suggesting that co-selection mechanisms are not generally present in these porcine pathogens. However, a high correlation was observed between the fluroquinolones (marbofloxacin and enrofloxacin) for all mentioned pathogens and for ceftiofur and cefquinome for E. coli and S. suis . Moreover, a significant association was also observed for tetracyclines (doxycycline and oxytetracycline) and B. bronchiseptica and tildipirosin/tulathromycin for P. multocida . These results suggest that generally, a representative drug per antimicrobial class cannot be selected, however, for some drug-bug combinations, MIC values from one representative drug could be extrapolated to the whole antimicrobial family.
Keyphrases
  • escherichia coli
  • staphylococcus aureus
  • gram negative
  • cross sectional
  • biofilm formation
  • antimicrobial resistance
  • drug induced
  • candida albicans
  • microbial community
  • pseudomonas aeruginosa
  • electronic health record