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Antimicrobial susceptibility of Actinobacillus pleuropneumoniae, Pasteurella multocida, Streptococcus suis, and Bordetella bronchiseptica isolated from pigs in the United States and Canada, 2011 to 2015
Susceptibilidad antimicrobiana del Actinobacillus pleuropneumoniae, la Pasteurella multocida, el Streptococcus suis, y la Bordetella bronchiseptica aislados de cerdos en los Estados Unidos y Canadá, 2011 a 2015
Sensibilité antimicrobienne d’isolats porcins d’Actinobacillus pleuropneumoniae, de Pasteurella multocida, de Streptococcus suis et de Bordetella bronchiseptica provenant des États-Unis et du Canada, 2011 à 2015
Michael T. Sweeney, MS; Cynthia Lindeman, BS; Lacie Johansen, BS; Lisa Mullins, BS; Robert Murray, MS; Michael K. Senn, DVM, MS; Donald Bade, BS; Chandra Machin, BS; Susan F. Kotarski, PhD; Raksha Tiwari, DVM, PhD; Jeffrey L. Watts, PhD
MTS, CL, LJ, LM, RM, SFK, RT, JLW: Zoetis, Kalamazoo, Michigan. MKS: Zoetis, Newton, Kansas. DB, CM: Microbial Research, Inc, Fort Collins, Colorado. Corresponding author: Michael T. Sweeney, Veterinary Medicine Research and Development, Zoetis, 333 Portage St, Kalamazoo, MI 49007; Tel: 269-359-9533; E-mail: michael.t.sweeney@zoetis.com.

RIS citationCite as: Sweeney MT, Lindeman C, Johansen L, et al. Antimicrobial susceptibility of Actinobacillus pleuropneumoniae, Pasteurella multocida, Streptococcus suis, and Bordetella bronchiseptica isolated from pigs in the United States and Canada, 2011 to 2015. J Swine Health Prod. 2017;25(3):106–120. https://doi.org/10.54846/jshap/1002
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Summary

Objective: To report the susceptibility to veterinary antimicrobial agents of Actinobacillus pleuropneumoniae, Pasteurella multocida, Streptococcus suis, and Bordetella bronchiseptica isolated from pigs in the United States and Canada from 2011 to 2015.

Materials and methods: In vitro broth microdilution susceptibility testing for minimal inhibitory concentration values were performed using 10 antimicrobial agents (ampicillin, ceftiofur, danofloxacin, enrofloxacin, florfenicol, penicillin, tetracycline, tilmicosin, trimethoprim-sulfamethoxazole, and tulathromycin) with Actinobacillu pleuropneumoniae (n = 312), P multocida (n = 855), S suis (n = 1201), and B bronchiseptica (n = 572) following methods and susceptibility breakpoints approved by the Clinical and Laboratory Standards Institute.

Results: Actinobacillu pleuropneumoniae isolates were 100% susceptible to ceftiofur and florfenicol, and P multocida isolates were 100% susceptible to ceftiofur, enrofloxacin, and florfenicol. High rates of susceptibility (90% to > 99% susceptible) were observed for A pleuropneumoniae to enrofloxacin and tulathromycin, for P multocida to ampicillin, penicillin, tilmicosin, and tulathromycin, for S suis to ampicillin, ceftiofur, and florfenicol, and for B bronchiseptica to tulathromycin. Tetracycline exhibited low susceptibility rates against A pleuropneumoniae (0% to 6% susceptibility), P multocida (22.3% to 35.3%), and S suis (0% to 1.3%). No susceptibility of B bronchiseptica to ampicillin (0%) and low rates of susceptibility to florfenicol (5.4% to 23.5%) were also observed.

Implications: Under the conditions of this study, high rates of susceptibility to most veterinary antimicrobial agents continue to be seen for A pleuropneumoniae, P multocida, S suis, and B bronchiseptica, the predominant pathogens associated with swine respiratory disease in the United States and Canada.

Resumen

Objetivo: Reportar la susceptibilidad contra agentes antimicrobianos veterinarios del Actinobacillus pleuropneumoniae, la Pasteurella multocida, el Streptococcus suis, y la Bordetella bronchiseptica aislados de cerdos en los Estados Unidos y Canadá del 2011 al 2015.

Materiales y métodos: Se realizaron pruebas de susceptibilidad in vitro de microdilución en caldo para encontrar valores de concentración inhibitorios mínimos utilizando 10 agentes antimicrobianos (ampicilina, ceftiofur, danofloxacina, enrofloxacina, florfenicol, penicilina, tetraciclina, tilmicosina, trimetoprim-sulfametoxazol, y tulatromcina) con A pleuropneumoniae (n = 312), P multocida (n = 855), S suis (n = 1201), y B bronchiseptica (n = 572) siguiendo los métodos y los puntos de rompimiento de la susceptibilidad aprobados por el Instituto de Estándares Clínicos y de Laboratorio.

Resultados: Los aislamientos del A pleuropneumoniae fueron 100% susceptibles al ceftiofur y al florfenicol, y los aislados del P multocida fueron 100% susceptibles al ceftiofur, enrofloxacina, y al florfenicol. Se observaron altos índices de susceptibilidad (90% a > 99% susceptibles) del A pleuropneumoniae a la enrofloxacina y la tulatromicina, de la P multocida a la ampicilina, la penicilina, la tilmicosina, y la tulatromicina, del S suis a la ampicilina, el ceftiofur, y el florfenicol, y de la B bronchiseptica a la tulatromicina. La tetraciclina exhibió índices bajos de susceptibilidad contra el A pleuropneumoniae (0% a 6% de susceptibilidad), la P multocida (22.3% a 35.3%), y el S suis (0% a 1.3%). No hubo susceptibilidad de la B bronchiseptica a la ampicilina (0%) y además se observaron índices bajos de susceptibilidad al florfenicol (5.4% a 23.5%).

Implicaciones: Bajo las condiciones de este estudio, continúan observándose índices altos de susceptibilidad a la mayoría de los agentes antimicrobianos veterinarios contra el A pleuropneumoniae, la P multocida, el S suis, y la B bronchiseptica, los patógenos predominantes asociados con las enfermedades respiratorias porcinas en los Estados Unidos y Canadá.

Resumé

Objectif: Faire rapport de la sensibilité à des antimicrobiens vétérinaires d’isolats porcins d’Actinobacillus pleuropneumoniae, de Pasteurella multocida, de Streptococcus suis, et de Bordetella bronchiseptica provenant des États-Unis et du Canada de 2011 à 2015.

Matériels et méthodes: Les valeurs de concentration minimale inhibitrice furent déterminées in vitro par la méthode de microdilution en bouillon pour 10 agents antimicrobiens (ampicilline, ceftiofur, danofloxacine, enrofloxacine, florfénicol, pénicilline, tétracycline, tilmicosin, trimethoprime-sulfamethoxazole, et tulathromycine) pour A pleuropneumoniae (n = 312), P multocida (n = 855), S suis (n = 1201) et B bronchiseptica (n = 572) en suivant les directives et les valeurs seuils de sensibilité approuvées par le Clinical and Laboratory Standards Institute.

Résultats: Les isolats d’A pleuropneumoniae étaient sensibles à 100% au ceftiofur et au florfénicol, et les isolats de P multocida sensibles à 100% au ceftiofur, à l’enrofloxacine et au florfénicol. Des taux élevés de sensibilité (90% à > 99% de sensibilité) ont été notés pour A pleuropneumoniae envers l’enrofloxacine et la tulathromycine, pour P multocida envers l’ampicilline, la pénicilline, le tilmicosin et la tulathromycine, pour S suis envers l’ampicilline, le ceftiofur et le florfénicol, et pour B bronchiseptica envers la tulathromycine. La tétracycline présentait des taux faibles de sensibilité contre A pleuropneumoniae (0% à 6%), P multocida (22,3% à 35,3%), et S suis (0% à 1,3%). Aucune sensibilité de B bronchiseptica envers l’ampicilline (0%) et de faibles taux de sensibilité envers le florfénicol (5,4% à 23,5%) furent également observés.

Implications: Dans les conditions de la présente étude, de hauts taux de sensibilité à la plupart des agents antimicrobiens vétérinaires continuent d’être observés pour A pleuropneumoniae, P multocida, S suis, et B bronchiseptica, les principaux agents pathogènes associés avec les maladies respiratoires porcines aux États-Unis et au Canada.

Keywords: swine, surveillance, antimicrobial susceptibility, respiratory disease, Actinobacillus pleuropneumoniae, Pasteurella multocida, Streptococcus suis, Bordetella bronchiseptica, App, S. suis
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Received: September 13, 2016
Accepted: November 22, 2016


Antimicrobial agents are important for the humane and efficient production of swine and other food animals in order to meet the challenges of a sustainable food supply for a growing world population.1 According to the National Animal Health Monitoring System, swine respiratory disease (SRD) is a prevalent cause of nursery pig and grower-finisher deaths in swine in which multiple infectious agents are often involved.2 Primary pathogens for SRD include Mycoplasma hyopneumoniae, Actinobacillus pleuropneumoniae, and Bordetella bronchiseptica, as well as viral agents. Common secondary pathogens include Pasteurella multocida, Streptococcus suis, Hemophilus parasuis, Actinobacillus suis, and Salmonella Choleraesuis.3 These primary and secondary pathogens act together to increase the severity and duration of SRD.

Antimicrobial surveillance among veterinary bacterial pathogens obtained from clinical specimens provides a platform from which to detect emergence of resistance in animal populations. While veterinary diagnostic laboratories throughout North America provide important antimicrobial susceptibility information for clinical isolates submitted by the attending veterinarian or animal caretaker, the susceptibility results are not typically examined or summarized nationally or regionally. Few surveillance programs monitor susceptibility in swine pathogens nationally.4,5 Portis et al4 reported minimal inhibitory concentration (MIC) values for seven antimicrobial agents against A pleuropneumoniae, P multocida, and S suis isolated from diseased swine in the United States and Canada over a 10-year period (2001 to 2010) and concluded that most isolates showed high rates of susceptibility to all antimicrobial agents tested except tetracycline. Continuing this surveillance program, we report herein the percentages of A pleuropneumoniae, P multocida, S suis, and B bronchiseptica pathogens isolated from swine in the United States and Canada from 2011 to 2015 that were susceptible to the veterinary antimicrobial agents ampicillin, ceftiofur, danofloxacin, enrofloxacin, florfenicol, penicillin, tetracycline, tilmicosin, trimethoprim-sulfamethoxazole (TMP-SMX), and tulathromycin. This paper presents the findings of that second surveillance period (2011-2015).

Materials and methods

Laboratory participants and isolate characterization

Veterinary laboratories from the United States and Canada participated in this surveillance study. The regions from which isolates were obtained are shown in Table 1. All A pleuropneumoniae, P multocida, S suis, and B bronchiseptica isolates were recovered from diseased or dead pigs. Laboratories selected isolates on the basis of their own protocols and were requested not to use antimicrobial susceptibility as a criterion for selection. Laboratories were also requested to submit no more than eight isolates per quarter year in order to prevent over-representation from any one geographic area. Each participating laboratory was also requested to send no more than one isolate of each bacterial species from a herd each quarter year in order to prevent the over-representation of bacterial clones from one region.

Table 1: Origin and number of bacterial isolates per year by region for a 5-year study of antimicrobial susceptibility of Actinobacillus pleuropneumoniae, Pasteurella multocida, Streptococcus suis, and Bordetella bronchiseptica from pigs in the United States and Canada*
Region 2011 2012 2013 2014 2015 Total
Actinobacillus pleuropneumoniae
Canada 12 13 14 14 16 69
Northeast 0 0 4 2 1 7
Midwest 40 31 46 32 35 184
South 7 11 4 7 3 32
West 8 5 1 6 0 20
Total 67 60 69 61 55 312
Pasteurella multocida
Canada 43 47 39 36 57 222
Northeast 1 6 0 8 6 21
Midwest 103 91 101 107 143 545
South 4 5 3 2 6 20
West 6 10 10 10 11 47
Total 157 159 153 163 223 855
Streptococcus suis
Canada 60 54 62 62 100 338
Northeast 3 9 0 6 8 26
Midwest 143 129 147 146 162 727
South 7 5 15 8 15 50
West 13 8 11 12 16 60
Total 226 205 235 234 301 1201
Bordetella bronchiseptica
Canada 24 17 21 17 32 111
Northeast 1 6 4 1 2 14
Midwest 72 67 75 84 92 390
South 2 8 9 7 7 33
West 3 5 3 7 6 24
Total 102 103 112 116 139 572
*   Provinces and states that submitted isolates originating from within the regions included Canada: Alberta, British Columbia, Manitoba, Nova Scotia, Ontario, Quebec, Saskatchewan; Northeast: Maryland, New Jersey, New York, Pennsylvania, Vermont; Midwest: Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin; South: Arkansas, Kentucky, Louisiana, Mississippi, North Carolina, Oklahoma, Texas, Virginia; West: Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, Oregon, Utah, Washington.

Bacterial isolates were identified to the species level by each participating laboratory before shipment to a central laboratory for susceptibility testing. Any further identification or characterization of bacterial species were performed at Zoetis (Kalamazoo, Michigan) using standard biochemical tests, commercially available identification systems (such as API Microbial Identification Kits, bioMerieux, Durham, North Carolina; and Biolog Microbial Identification Systems, Hayward, California), or Matrix Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry (MALDI-ToF MS, Bruker, Billerica, Massachusetts). All isolates were stored in approximately 1.0 mL trypticase soy broth (BD Biosciences, Sparks, Maryland) supplemented with 10% glycerol and stored at approximately -70°C until tested.

Determination of minimal inhibitory concentration values

In vitro susceptibility data were generated annually by performing MIC tests at two laboratories (Microbial Research Inc, Fort Collins, Colorado; and Zoetis) to minimize testing bias.6,7 Both laboratories followed Clinical and Laboratory Standards Institute (CLSI) standardized methods and quality-control guidelines during susceptibility testing.8The MIC values for all isolates were determined using a dehydrated broth microdilution system (Sensititre System; Thermo Fisher Scientific, Waltham, Massachusetts) which conforms to CLSI standards for testing of veterinary pathogens.8 Direct colony suspensions were used and prepared at a final bacterial concentration of approximately 5 × 105 colony forming units per mL. Custom-made 96-well microtitre panels included serial doubling dilutions of the antimicrobial agents ampicillin, ceftiofur, danofloxacin, enrofloxacin, florfenicol, penicillin, tetracycline, tilmicosin, TMP-SMX, and tulathromycin. All concentration ranges for antimicrobials were chosen to encompass appropriate quality-control ranges and published clinical breakpoints, and appropriate quality-control organisms were included with each testing date.9 Ampicillin was added to the surveillance program starting in 2012, and no susceptibility data were available for 2011 alone.

Results

Quality control

Although not shown for this study, MIC values for all appropriate quality-control organisms were acceptable when all study isolates were tested against antimicrobial agents on each date of testing.

Actinobacillus pleuropneumoniae

The MIC distributions, MIC50 values, and MIC90 values for 10 antimicrobial agents tested against A pleuropneumoniae (n = 312) are reported in Table 2. The CLSI has established clinical breakpoints for A pleuropneumoniae against ampicillin, ceftiofur, enrofloxacin, florfenicol, tetracycline, tilmicosin, and tulathromycin. Actinobacillus pleuropneumoniae susceptibility to ampicillin increased from 85% in 2012 (susceptible breakpoint ≤ 0.5 µg per mL) to 91.3% in 2013, but decreased to 85.4% in 2015. The percentage of isolates susceptible to ceftiofur over the 5-year study period was 100% (susceptible breakpoint ≤ 2 µg per mL) and the MIC90 values were ≤ 0.03 µg per mL. The highest ceftiofur MIC value against A pleuropneumoniae was 1 µg per mL (2.9% of the isolates) in 2013. The percentage of susceptibility to enrofloxacin was very high (95.7% to 100%; breakpoint ≤ 0.25 µg per mL), and the MIC90 values over the study period were 0.06 to 0.12 µg per mL; florfenicol was 100% susceptible (breakpoint ≤ 2 µg per mL), with MIC90 values at 0.5 µg per mL. Actinobacillus pleuropneumoniae susceptibility to tetracycline (breakpoint ≤ 0.5 µg per mL) was very low, with 6.0% susceptibility in 2011 and 0% susceptibility in 2012, 2013, and 2015, while tilmicosin susceptibility (breakpoint ≤ 16 µg per mL) ranged from 83.6% in 2011 to 100% in 2015. There was 100% percent susceptibility of A pleuropneumoniae to tulathromycin (breakpoint ≤ 64 µg per mL) from 2012 to 2015, and MIC90 values ranged from 32 to 64 µg per mL. Clinical and Laboratory Standards Institute-approved susceptible breakpoints have not been established for danofloxacin, penicillin, or TMP-SMX, but the MIC90 values were determined as 0.12 to 0.25 µg per mL, 2 to ≥ 32 µg per mL, and ≤ 0.06 to 0.12 µg per mL, respectively, from 2011 to 2015.

Table 2: Summary of minimal inhibitory concentration (MIC) values and frequency distributions for 10 antimicrobial agents tested with Actinobacillus pleuropneumoniae (n = 312) isolated from swine in the United States and Canada from 2011 to 2015*
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Ampicillin MIC frequency distribution (% of isolates)
≤ 0.06 0.12 0.25 0.5 1 2 4 8 ≥ 16
2011 NT
2012 60 0.12 ≥ 16 85 1.7 48.3 33.3 1.7 0 0 0 0 15
2013 69 0.25 0.5 91.3 2.9 23.2 56.5 8.7 0 1.4 0 0 7.3
2014 61 0.25 ≥ 16 86.9 0 41 45.9 0 0 1.6 0 0 11.5
2015 55 0.25 ≥ 16 85.4 3.6 41.8 40 0 0 0 1.8 0 12.8
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Ceftiofur MIC frequency distribution (% of isolates)
≤ 0.03 0.06 0.12 0.25 0.5 1 2 4 ≥ 8
2011 67 ≤ 0.03 ≤ 0.03 100 98.5 1.5 0 0 0 0 0 0 0
2012 60 ≤ 0.03 ≤ 0.03 100 93.3 6.7 0 0 0 0 0 0 0
2013 69 ≤ 0.03 ≤ 0.03 100 95.7 1.4 0 0 0 2.9 0 0 0
2014 61 ≤ 0.03 ≤ 0.03 100 95.1 4.9 0 0 0 0 0 0 0
2015 55 ≤ 0.03 ≤ 0.03 100 98.2 1.8 0 0 0 0 0 0 0
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Danofloxacin MIC frequency distribution (% of isolates)
≤ 0.016 0.03 0.06 0.12 0.25 0.5 1 2 ≥ 4
2011 67 0.06 0.12 NA 0 0 64.2 31.3 1.5 1.5 1.5 0 0
2012 60 0.06 0.12 NA 0 0 53.3 43.3 1.7 0 1.7 0 0
2013 69 0.12 0.25 NA 1.5 0 34.8 53.6 5.8 1.5 2.9 0 0
2014 61 0.12 0.12 NA 0 0 32.8 65.6 1.6 0 0 0 0
2015 55 0.12 0.12 NA 0 1.8 36.4 60 1.8 0 0 0 0
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Enrofloxacin MIC frequency distribution (% of isolates)
≤ 0.008 0.016 0.03 0.06 0.12 0.25 0.5 1 ≥ 2
2011 67 0.06 0.06 98.5 0 0 25.4 68.6 3 1.5 1.5 0 0
2012 60 0.06 0.12 98.3 0 0 23.3 65 10 0 0 1.7 0
2013 69 0.06 0.12 95.7 1.4 0 20.3 59.5 14.5 0 4.3 0 0
2014 61 0.06 0.12 100 0 0 21.3 67.2 11.5 0 0 0 0
2015 55 0.06 0.06 100 0 1.8 29.1 61.8 7.3 0 0 0 0
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Florfenicol MIC frequency distribution (% of isolates)
≤ 0.06 0.12 0.25 0.5 1 2 4 8 ≥ 16
2011 67 0.25 0.5 100 0 0 52.2 47.8 0 0 0 0 0
2012 60 0.5 0.5 100 0 1.7 36.7 61.6 0 0 0 0 0
2013 69 0.5 0.5 100 0 0 30.4 68.1 0 1.5 0 0 0
2014 61 0.5 0.5 100 0 0 42.6 57.4 0 0 0 0 0
2015 55 0.5 0.5 100 0 0 25.5 74.5 0 0 0 0 0
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Penicillin MIC frequency distribution (% of isolates)
≤ 0.12 0.25 0.5 1 2 4 8 16 ≥ 32
2011 67 0.5 ≥ 32 NA 7.5 19.4 47.8 7.5 1.5 0 0 1.5 14.9
2012 60 0.5 ≥ 32 NA 5 15 51.7 13.3 0 0 0 0 15
2013 69 0.5 2 NA 7.2 24.6 56.5 1.5 1.5 1.5 0 0 7.2
2014 61 0.25 ≥ 32 NA 8.2 47.5 28 1.6 1.6 0 1.6 0 11.5
2015 55 0.5 ≥ 32 NA 7.3 30.9 47.3 0 0 1.8 0 0 12.8
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Tetracycline MIC frequency distribution (% of isolates)
≤ 0.25 0.5 1 2 4 8 ≥ 16
2011 67 ≥ 16 ≥ 16 6 1.5 4.5 11.9 0 3 17.9 61.2
2012 60 ≥ 16 ≥ 16 0 0 0 16.7 3.3 0 18.3 61.7
2013 69 ≥ 16 ≥ 16 0 0 0 10.1 1.5 0 17.4 71
2014 61 ≥ 16 ≥ 16 3.3 0 3.3 16.4 1.6 0 24.6 51.4
2015 55 ≥ 16 ≥ 16 0 0 0 9.1 0 0 21.8 69.1
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Tilmicosin MIC frequency distribution (% of isolates)
≤ 0.25 0.5 1 2 4 8 16 32 ≥ 64
2011 67 16 32 83.6 0 0 0 0 0 10.5 73.1 16.4 0
2012 60 8 16 98.3 0 0 0 0 3.3 73.3 21.7 1.7 0
2013 69 16 32 89.9 0 0 0 0 1.5 36.2 52.2 10.1 0
2014 61 16 16 96.7 0 0 0 0 0 14.7 82 3.3 0
2015 55 8 16 100 0 0 0 0 1.8 56.4 41.8 0 0
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S TMP-SMX MIC frequency distribution (% of isolates)
≤ 0.06 0.12 0.25 0.5 1 2 4 8 ≥ 16
2011 67 ≤ 0.06 ≤ 0.06 NA 92.5 7.5 0 0 0 0 0 0 0
2012 60 ≤ 0.06 ≤ 0.06 NA 98.3 1.7 0 0 0 0 0 0 0
2013 69 ≤ 0.06 ≤ 0.06 NA 92.8 7.2 0 0 0 0 0 0 0
2014 61 ≤ 0.06 0.12 NA 83.6 16.4 0 0 0 0 0 0 0
2015 55 ≤ 0.06 0.12 NA 67.3 30.9 1.8 0 0 0 0 0 0
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Tulathromycin MIC frequency distribution (% of isolates)
≤ 0.5 1 2 4 8 16 32 64 ≥ 128
2011 67 64 64 98.5 0 0 0 0 0 0 11.9 86.6 1.5
2012 60 16 32 100 0 0 0 0 1.7 48.3 50 0 0
2013 69 32 64 100 0 0 0 0 0 7.2 66.7 26.1 0
2014 61 64 64 100 0 0 0 0 0 4.9 37.7 57.4 0
2015 55 32 64 100 0 0 0 0 1.8 9.1 78.2 12.7 0
*  No. = the number of isolates tested per year; MIC50 = antibacterial drug concentration that inhibits 50% of the bacterial population; MIC90 = antibacterial drug concentration that inhibits 90% of the bacterial population; %S = the percentage of isolates that are susceptible to the antibacterial drug using Clinical and Laboratory Standards Institute (CLSI) criteria; NA = not applicable since there are no CLSI-approved clinical breakpoints for susceptibility in that swine respiratory disease pathogen; NT = not tested; vertical bold lines indicate the CLSI-approved breakpoint for susceptible, intermediate, and resistant in that swine respiratory disease pathogen; TMP-SMX = trimethoprim-sulfamethoxazole; numbers in the lowest concentration of the tested antibacterial drug range represents the percentage of isolates that had MICs less than or equal to the lowest drug concentration tested per year, while numbers above the highest antibacterial drug concentration represent the percentage of isolates that had MICs greater than the highest drug concentration tested that year. Percent MIC frequency rows may not add to 100% due to rounding.

Pasteurella multocida

The MIC distributions, MIC50 values, and MIC90 values for 10 antimicrobial agents tested against P multocida (n = 855) are reported in Table 3. The CLSI has established clinical breakpoints for P multocida against ampicillin, ceftiofur, enrofloxacin, florfenicol, penicillin, tetracycline, tilmicosin, and tulathromycin. Pasteurella multocida susceptibility to ampicillin was very high (97.6% to 98.7%; susceptible breakpoint ≤ 0.5 µg per mL) from 2012 to 2015, while the percentage of susceptibility to ceftiofur was 100% (breakpoint ≤ 2 µg per mL), with MIC90 values at ≤ 0.03 µg per mL. Pasteurella multocida was 100% susceptible to enrofloxacin (breakpoint ≤ 0.25 µg per mL) with MIC90 values at 0.016 to 0.03 µg per mL, and also 100% susceptible to florfenicol (breakpoint ≤ 2 µg per mL) with MIC90 values at 0.5 µg per mL. Pasteurella multocida isolates were highly susceptible to penicillin (97.6% to 99.4%; breakpoint ≤ 0.25 µg per mL), tilmicosin (97.5% to100%; breakpoint ≤ 16 µg per mL), and tulathromycin (98.8% to 100%; breakpoint ≤ 16 µg per mL) in which the tulathromycin MIC90 value ranged from 2 to 4 µg per mL. Clinical and Laboratory Standards Institute-approved susceptible clinical breakpoints have not been established for danofloxacin or TMP-SMX, but MIC90 values were determined as 0.03 to 0.06 µg per mL and 0.12 to 0.25 µg per mL, respectively.

Table 3: Summary of minimal inhibitory concentration (MIC) values and frequency distributions for 10 antimicrobial agents tested with Pasteurella multocida (n = 855) isolated from swine in the United States and Canada from 2011 to 2015*
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Ampicillin MIC frequency distribution (% of isolates)
≤ 0.06 0.12 0.25 0.5 1 2 4 8 ≥ 16
2011 NT
2012 159 0.12 0.12 98.6 32 64.2 2.5 0 0 0 0 0 1.2
2013 153 0.12 0.25 98 19.6 67.3 11.1 0 0 0 0 0 2
2014 163 0.12 0.12 97.6 41.1 49.1 7.4 0 0 0 0.6 0 1.8
2015 223 0.12 0.12 98.7 41.7 53.4 3.6 0 0 0 0 0 1.3
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Ceftiofur MIC frequency distribution (% of isolates)
≤ 0.03 0.06 0.12 0.25 0.5 1 2 4 ≥ 8
2011 157 ≤ 0.03 ≤ 0.03 100 100 0 0 0 0 0 0 0 0
2012 159 ≤ 0.03 ≤ 0.03 100 97.4 1.3 1.3 0 0 0 0 0 0
2013 153 ≤ 0.03 ≤ 0.03 100 90.2 3.9 5.2 0.7 0 0 0 0 0
2014 163 ≤ 0.03 ≤ 0.03 100 100 0 0 0 0 0 0 0 0
2015 223 ≤ 0.03 ≤ 0.03 100 100 0 0 0 0 0 0 0 0
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Danofloxacin MIC frequency distribution (% of isolates)
≤ 0.016 0.03 0.06 0.12 0.25 0.5 1 2 ≥ 4
2011 157 ≤ 0.016 0.03 NA 54.8 38.9 5.1 1.2 0 0 0 0 0
2012 159 ≤ 0.016 0.03 NA 62.9 34 3.1 0 0 0 0 0 0
2013 153 0.03 0.06 NA 42.5 46.4 11.1 0 0 0 0 0 0
2014 163 ≤ 0.016 0.03 NA 60.2 30.6 8 0.6 0.6 0 0 0 0
2015 223 0.015 0.03 NA 53.8 42.6 3.6 0 0 0 0 0 0
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Enrofloxacin MIC frequency distribution (% of isolates)
≤ 0.008 0.016 0.03 0.06 0.12 0.25 0.5 1 ≥ 2
2011 157 0.016 0.03 100 14.6 66.3 15.9 3.2 0 0 0 0 0
2012 159 0.016 0.03 100 30.2 56 13.8 0 0 0 0 0 0
2013 153 0.016 0.03 100 18.9 54.9 24.2 2 0 0 0 0 0
2014 163 ≤ 0.008 0.03 100 57.7 31.3 7.4 3.1 0.5 0 0 0 0
2015 223 ≤ 0.008 0.016 100 61.9 32.3 5.4 0.4 0 0 0 0 0
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Florfenicol MIC frequency distribution (% of isolates)
≤ 0.06 0.12 0.25 0.5 1 2 4 8 ≥ 16
2011 157 0.5 0.5 100 0 0.6 7.6 89.8 2 0 0 0 0
2012 159 0.5 0.5 100 1.3 0 13.2 84.3 1.3 0 0 0 0
2013 153 0.5 0.5 100 0 0 6.5 93.5 0 0 0 0 0
2014 163 0.5 0.5 100 0.6 0 6.8 86.5 6.1 0 0 0 0
2015 223 0.5 0.5 100 0.9 0 2.2 90.6 5.8 0.5 0 0 0
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Penicillin MIC frequency distribution (% of isolates)
≤ 0.12 0.25 0.5 1 2 4 8 16 ≥ 32
2011 157 ≤ 0.12 ≤ 0.12 99.4 91.8 7.6 0 0 0 0.6 0 0 0
2012 159 ≤ 0.12 ≤ 0.12 98.8 98.2 0.6 0 0 0 0 0 0.6 0.6
2013 153 ≤ 0.12 ≤ 0.12 98.1 93.5 4.6 0 0 0 0 0 0 1.9
2014 163 ≤ 0.12 ≤ 0.12 97.6 95.8 1.8 0 0 0 0 0.6 0 1.8
2015 223 ≤ 0.12 ≤ 0.12 98.6 98.6 0 0 0 0 0 0 0 1.4
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Tetracycline MIC frequency distribution (% of isolates)
≤ 0.25 0.5 1 2 4 8 ≤ 16
2011 157 2 ≤ 16 28.7 1.9 26.8 15.3 33.1 6.4 1.2 15.3
2012 159 2 ≥ 16 35.3 5.7 29.6 12 27 2.5 3.1 20.1
2013 153 2 ≥ 16 22.3 0.7 21.6 10.5 42.4 2.6 2 20.2
2014 163 2 ≥ 16 27.6 5.5 22.1 13.5 35.6 4.3 3.7 15.3
2015 223 2 ≥ 16 31.4 1.4 30 5.4 39 3.6 2.2 18.4
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Tilmicosin MIC frequency distribution (% of isolates)
≤ 0.25 0.5 1 2 4 8 16 32 ≥ 64
2011 157 4 16 100 0 0 3.2 19.8 38.2 24.8 14 0 0
2012 159 4 8 97.5 1.3 0 1.9 18.9 39.6 28.9 6.9 0.6 1.9
2013 153 4 16 99.3 0 0 2.6 18.3 44.4 21.6 12.4 0 0.7
2014 163 4 16 98.2 0 0 5.5 9.2 36.8 24.5 22.1 0.6 1.2
2015 223 8 16 97.8 0 0.4 0.9 8.5 38.1 29.6 20.2 2.2 0
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S TMP-SMX MIC frequency distribution (% of isolates)
≤ 0.06 0.12 0.25 0.5 1 2 4 8 ≥ 16
2011 157 ≤ 0.06 0.12 NA 75.8 17.2 4.5 0.6 0.6 1.3 0 0 0
2012 159 ≤ 0.06 0.12 NA 68.6 27 3.8 0.6 0 0 0 0 0
2013 153 ≤ 0.06 0.25 NA 69.3 19.6 7.8 1.3 0 0 0 0 2
2014 163 ≤ 0.06 0.12 NA 73.6 20.3 4.3 1.2 0.6 0 0 0 0
2015 223 ≤ 0.06 0.12 NA 62.3 30.9 4 1.3 0 0.4 0 0 1
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Tulathromycin MIC frequency distribution (% of isolates)
≤ 0.5 1 2 4 8 16 32 64 ≥ 128
2011 157 2 4 100 6.4 24.2 44.6 15.2 9.6 0 0 0 0
2012 159 1 2 98.8 24.5 32.1 35.2 6.9 0 0 0.6 0.6 0
2013 153 1 2 100 13.7 49 30.1 7.2 0 0 0 0 0
2014 163 2 4 100 11.7 31.3 30.7 22.7 3.7 0 0 0 0
2015 223 2 4 100 6.7 22.9 38.1 28.7 3.5 0 0 0 0
*  No. = the number of isolates tested per year; MIC50 = antibacterial drug concentration that inhibits 50% of the bacterial population; MIC90 = antibacterial drug concentration that inhibits 90% of the bacterial population; %S = the percentage of isolates that are susceptible to the antibacterial drug using Clinical and Laboratory Standards Institute (CLSI) criteria; NA = not applicable since there are no CLSI-approved clinical breakpoints for susceptibility in that swine respiratory disease pathogen; NT = not tested; vertical bold lines indicate the CLSI-approved breakpoint for susceptible, intermediate, and resistant in that swine respiratory disease pathogen; TMP-SMX = trimethoprim-sulfamethoxazole; numbers in the lowest concentration of the tested antibacterial drug range represent the percentage of isolates that had MICs less than or equal to the lowest drug concentration tested per year, while numbers above the highest antibacterial drug concentration represent the percentage of isolates that had MICs greater than the highest drug concentration tested that year. Percent MIC frequency rows may not add to 100% due to rounding.

Streptococcus suis

The MIC distributions, MIC50 values, and MIC90 values for 10 antimicrobial agents tested against S suis (n = 1201) are reported in Table 4. The CLSI has established clinical breakpoints for S suis against ampicillin, ceftiofur, enrofloxacin, florfenicol, penicillin, and tetracycline. Streptococcus suis susceptibility to ampicillin was very high (susceptible breakpoint ≤ 0.5 µg per mL) and ranged from 98.0% to 99.2%, while the percentage of susceptibility to ceftiofur was also high (93.6% to 96.6%; breakpoint ≤ 2 µg per mL) over the 5-year study period in which MIC90 values ranged from 1 to 2 µg per mL. The percentage of S suis susceptible to enrofloxacin (breakpoint ≤ 0.5 µg per mL) increased from 82.3% in 2011 to 94% in 2015, in which MIC90 values were 0.5 to 1 µg per mL. The percentage of S suis susceptibility to florfenicol was very high (breakpoint ≤ 2 µg per mL) and dropped slightly from 100% in 2012 to 97.1% in 2015, in which MIC90 values were 2 µg per mL. The percentage of S suis susceptibility to penicillin (breakpoint ≤ 0.25 µg per mL) dropped from 84% in 2011 to 73.6% in 2013, but increased to 82.1% in 2014, in which MIC90 values ranged from 1 to 2 µg per mL. No S suis isolates were susceptible to tetracycline (breakpoint ≤ 1 µg per mL) in 2012 and 2015, with 0.8% susceptibility in 2011 and 1.3% susceptibility in 2013 and 2014. Susceptible breakpoints were not available for danofloxacin, tilmicosin, TMP-SMX, or tulathromycin, but MIC90 values were determined as 1 µg per mL, ≥ 64 µg per mL, 0.12 to 0.25 µg per mL, and ≥ 128 µg per mL, respectively.

Table 4: Summary of minimal inhibitory concentration (MIC) values and frequency distributions for 10 antimicrobial agents tested with Streptococcus suis (n = 1201) isolated from swine in the United States and Canada from 2011 to 2015*
Year No. MIC50 (µ/mL) MIC90 (µg/mL) %S Ampicillin MIC frequency distribution (% of isolates)
≤ 0.06 0.12 0.25 0.5 1 2 4 8 ≥ 16
2011 NT
2012 205 ≤ 0.03 0.12 98.6 86.9 7.3 4.4 0 0 0.5 0.5 0.5 0
2013 235 ≤ 0.03 0.12 98 83.4 8.1 5.5 0.9 0.9 0.8 0.4 0 0
2014 234 ≤ 0.03 0.12 99.2 88.9 6.8 3 0.4 0.9 0 0 0 0
2015 301 ≤ 0.03 0.12 99.1 89.4 6 3 0.6 0.3 0.3 0 0.3 0
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Ceftiofur MIC frequency distribution (% of isolates)
≤ 0.03 0.06 0.12 0.25 0.5 1 2 4 ≥ 8
2011 226 0.12 1 96.5 15 34.5 20.4 7.1 11.1 6.2 2.2 2.2 1.3
2012 205 0.12 1 96.6 9.3 35.1 26.3 3.9 8.8 8.8 4.4 1 2.5
2013 235 0.12 2 93.6 38.3 20.9 7.2 8.1 10.6 8.5 3 1.3 2.1
2014 234 0.12 1 96.2 5.1 37.6 32.1 5.6 4.7 6 5.1 1.3 2.5
2015 301 0.12 1 93.9 6.3 36.2 28.9 5.3 7.6 7.3 2.3 0.7 5.4
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Danofloxacin MIC frequency distribution (% of isolates)
≤ 0.015 0.03 0.06 0.12 0.25 0.5 1 2 ≥ 4
2011 226 0.5 1 NA 0 0 1.3 3.1 21.2 52.7 18.1 2.2 1.4
2012 205 0.5 1 NA 0 0 0.5 4.4 22.4 52.7 18 2 0
2013 235 0.5 1 NA 0 0 0.9 2.1 16.2 51.9 23.8 2.6 2.6
2014 234 0.5 1 NA 0 0 0.9 3.8 13.2 62.4 16.2 2.1 1.3
2015 301 0.5 1 NA 0.3 0.3 0.3 2.3 10.6 59.1 25.3 0.3 1.3
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Enrofloxacin MIC frequency distribution (% of isolates)
≤ 0.008 0.016 0.03 0.06 0.12 0.25 0.5 1 ≥ 2
2011 226 0.5 1 82.3 0 0 0 1.8 6.6 23.5 50.4 15 2.7
2012 205 0.5 1 84 0 0 0 0.5 5.4 25.4 52.7 13.6 2.4
2013 235 0.5 1 84.3 0 0 0.4 0.4 5.5 30.6 47.2 11.2 4.7
2014 234 0.5 0.5 95.3 0 0 0.4 0.9 8.1 39.7 46.2 3.4 1.3
2015 301 0.5 0.5 94 0 0 0.3 0.7 7.3 33.2 52.5 4.7 1.3
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Florfenicol MIC frequency distribution (% of isolates)
≤ 0.06 0.12 0.25 0.5 1 2 4 8 ≥ 16
2011 226 2 2 99.1 0 0.4 0 6.6 42.5 49.6 0.9 0 0
2012 205 2 2 100 0 0 0 3.9 34.6 61.5 0 0 0
2013 235 2 2 99.6 0 0 0.4 3 33.2 63 0.4 0 0
2014 234 2 2 97.9 0 0 0.4 3.4 27.4 66.7 2.1 0 0
2015 301 2 2 97.1 0 0 0 2.7 20.9 73.5 2.3 0 0.6
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Penicillin MIC frequency distribution (% of isolates)
≤ 0.12 0.25 0.5 1 2 4 8 16 ≥ 32
2011 226 ≤ 0.12 1 84 80.5 3.5 2.7 4 4.9 4 0 0.4 0
2012 205 ≤ 0.12 1 81.5 77.6 3.9 3.9 5.4 3.4 4.4 1 0.5 0
2013 235 ≤ 0.12 2 73.6 69.8 3.8 5.1 6.8 6.8 5.5 1.3 0.9 0
2014 234 ≤ 0.12 2 82.1 79.5 2.6 3 3.8 4.8 3.8 1.7 0.4 0.4
2015 301 ≤ 0.12 2 80.1 75.8 4.3 5.6 3.7 3 5.6 1.7 0 0.3
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Tetracycline MIC frequency distribution (% of isolates)
≤ 0.25 0.5 1 2 4 8 ≥ 16
2011 226 ≥ 16 ≥ 16 0.8 0.4 0.4 0 0 3.2 1.8 94.2
2012 205 ≥ 16 ≥ 16 0 0 0 2 0.5 1.5 1.5 94.5
2013 235 ≥ 16 ≥ 16 1.3 1.3 0 0.9 2.1 1.7 0.9 93.1
2014 234 ≥ 16 ≥ 16 1.3 0.4 0.9 0 0.9 2.6 0.9 94.3
2015 301 ≥ 16 ≥ 16 0 0 0 0.3 1 2.7 1.7 94.3
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Tilmicosin MIC frequency distribution (% of isolates)
≤ 0.25 0.5 1 2 4 8 16 32 ≥ 64
2011 226 ≥ 64 ≥ 64 NA 1.8 0 3.5 16.8 2.7 0.9 0 0 74.3
2012 205 ≥ 64 ≥ 64 NA 1.5 2.4 7.8 10.7 1 0.5 0 0 76.1
2013 235 ≥ 64 ≥ 64 NA 1.3 0 0 0.9 10.6 13.6 0.4 0 73.2
2014 234 ≥ 64 ≥ 64 NA 0 0 0.4 0.4 14.5 6.8 0 0 77.9
2015 301 ≥ 64 ≥ 64 NA 0 0.3 0 0.7 7 9.6 0.7 0 81.7
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S TMP-SMX MIC frequency distribution (% of isolates)
≤ 0.06 0.12 0.25 0.5 1 2 4 8 ≥ 16
2011 226 ≤ 0.06 0.12 NA 86.7 8.4 1.3 1.3 1.8 0 0 0.4 0
2012 205 ≤ 0.06 0.12 NA 86.8 10.2 2 0.5 0 0.5 0 0 0
2013 235 ≤ 0.06 0.25 NA 63 25.1 3 2.1 2.6 0.9 0.9 0.4 2.1
2014 234 ≤ 0.06 0.12 NA 83 9.4 1.3 0.9 1.7 0.9 0.4 0.4 2
2015 301 ≤ 0.06 0.12 NA 73.8 17.6 3.3 0 1 0 1.3 0.3 2.7
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Tulathromycin MIC frequency distribution (% of isolates)
≤ 0.5 1 2 4 8 16 32 64 ≥ 128
2011 226 ≥ 128 ≥ 128 NA 15.5 6.2 3.1 0.4 0.9 0.9 1.8 5.7 65.5
2012 205 ≥ 128 ≥ 128 NA 18.5 4.9 0.5 0 2 2 3.9 12.7 55.6
2013 235 ≥ 128 ≥ 128 NA 1.7 3 8.9 13.2 0.9 0 0.4 1.3 70.6
2014 234 ≥ 128 ≥ 128 NA 1.3 3 9.8 8.6 0 0 1.3 3.4 72.6
2015 301 ≥ 128 ≥ 128 NA 0.6 1.3 5.3 10.3 0.7 0.3 0.3 2.7 78.4
*  No. = the number of isolates tested per year; MIC50 = antibacterial drug concentration that inhibits 50% of the bacterial population; MIC90 = antibacterial drug concentration that inhibits 90% of the bacterial population; %S = the percentage of isolates that are susceptible to the antibacterial drug using Clinical and Laboratory Standards Institute (CLSI) criteria; NA = not applicable since there are no CLSI-approved clinical breakpoints for susceptibility in that swine respiratory disease pathogen; NT = not tested; vertical bold lines indicate the CLSI-approved breakpoint for susceptible, intermediate, and resistant in that swine respiratory disease pathogen; TMP-SMX = trimethoprim-sulfamethoxazole; numbers in the lowest concentration of the tested antibacterial drug range represents the percentage of isolates that had MICs less than or equal to the lowest drug concentration tested per year, while numbers above the highest antibacterial drug concentration represent the percentage of isolates that had MICs greater than the highest drug concentration tested that year. Percent MIC frequency rows may not add to 100% due to rounding.

Bordetella bronchiseptica

The MIC distributions, MIC50 values, and MIC90 values for 10 antimicrobial agents tested against B bronchiseptica (n = 572) are reported in Table 5. The CLSI has established clinical breakpoints for B bronchiseptica against ampicillin, florfenicol, and tulathromycin. Bordetella bronchiseptica isolates in this study had no in vitro activity to ampicillin (0% susceptibility; susceptible breakpoint ≤ 0.5 µg per mL) in which MIC90 values were ≥ 16 µg per mL. Bordetella bronchiseptica susceptibility to florfenicol (breakpoint ≤ 2 µg per mL) was low and decreased from 23.5 % in 2011 to 5.4% in 2013, but increased to 11.2% in 2014, in which MIC90 values were 4 µg per mL over the 5-year study period. The percentage of B bronchiseptica susceptible to tulathromycin was 99% to 100% (breakpoint ≤ 16 µg per mL) and the MIC90 value ranged from 8 to 16 µg per mL. Clinical and Laboratory Standards Institute-approved susceptible breakpoints were not available for ceftiofur, danofloxacin, enrofloxacin, penicillin, tetracycline, tilmicosin, or TMP-SMX, but MIC90 values were determined as ≥ 8 µg per mL, 1 µg per mL, 0.5 to 1 µg per mL, ≥ 32 µg per mL, 2 to 4 µg per mL, 32 to ≥ 64 µg per mL, and 8 to ≥ 16 µg per mL, respectively.

Table 5: Summary of minimal inhibitory concentration (MIC) values and frequency distributions for 10 antimicrobial agents tested with Bordetella bronchiseptica (n = 572) isolated from swine in the United States and Canada from 2011 to 2015*
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Ampicillin MIC frequency distribution (% of isolates)
≤ 0.06 0.12 0.25 0.5 1 2 4 8 ≥ 16
2011 NT
2012 103 ≥ 16 ≥ 16 0 0 0 0 0 0 0 1 2.9 96.1
2013 112 ≥ 16 ≥ 16 0 0 0 0 0 0 0 0 6.3 93.7
2014 116 ≥ 16 ≥ 16 0 0 0 0 0 0 1.7 0.9 3.5 93.9
2015 139 ≥ 16 ≥ 16 0 0 0 0 0 0 0 2.2 4.3 93.6
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Ceftiofur MIC frequency distribution (% of isolates)
≤ 0.03 0.06 0.12 0.25 0.5 1 2 4 ≥ 8
2011 102 ≥ 8 ≥ 8 NA 0 0 0 0 0 0 0 0 100
2012 103 ≥ 8 ≥ 8 NA 0 0 0 0 0 0 0 0 100
2013 112 ≥ 8 ≥ 8 NA 0 0 0 0 0 0 0 0 100
2014 116 ≥ 8 ≥ 8 NA 0 0 0 0 0 0 0 0 100
2015 139 ≥ 8 ≥ 8 NA 0 0 0 0 0 0 0 0 100
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Danofloxacin MIC frequency distribution (% of isolates)
≤ 0.015 0.03 0.06 0.12 0.25 0.5 1 2 ≥ 4
2011 102 1 1 NA 0 0 0 0 2 20.6 77.4 0 0
2012 103 1 1 NA 0 0 0 0 2 18.4 79.6 0 0
2013 112 1 1 NA 0 0 0 0 4.5 7.1 87.5 0.9 0
2014 116 1 1 NA 0.9 0 0.9 0 2.6 17.2 78.5 0 0
2015 139 1 1 NA 0 0 0 0 5.8 7.2 87 0 0
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Enrofloxacin MIC frequency distribution (% of isolates)
≤ 0.008 0.016 0.03 0.06 0.12 0.25 0.5 1 ≥ 2
2011 102 0.5 1 NA 0 0 0 0 0 2.9 56.9 40.2 0
2012 103 0.5 0.5 NA 0 0 0 0 0 2.9 87.4 9.7 0
2013 112 0.5 1 NA 0 0 0 0 0.9 5.4 63.4 30.3 0
2014 116 0.5 1 NA 0.9 0 0 0.9 4.3 1.7 82 10.3 0
2015 139 0.5 1 NA 0 0 0 0 4.3 5 77.7 13 0
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Florfenicol MIC frequency distribution (% of isolates)
≤ 0.06 0.12 0.25 0.5 1 2 4 8 ≥ 16
2011 102 4 4 23.5 0 0 0 0 4.9 18.6 74.5 2 0
2012 103 4 4 14.5 0 0 0 0 1.9 12.6 83.5 2 0
2013 112 4 4 5.4 0 0 0 0 0 5.4 94.6 0 0
2014 116 4 4 11.2 0 0 0 0 0 11.2 88.8 0 0
2015 139 4 4 7.9 0 0 0 0 0 7.9 84.2 7.2 0
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Penicillin MIC frequency distribution (% of isolates)
≤ 0.12 0.25 0.5 1 2 4 8 16 ≥ 32
2011 102 ≥ 32 ≥ 32 NA 0 0 0 0 0 0 0 0 100
2012 103 ≥ 32 ≥ 32 NA 0 0 0 0 0 0 0 0 100
2013 112 ≥ 32 ≥ 32 NA 0 0 0 0 0 0 0 0 100
2014 116 ≥ 32 ≥ 32 NA 0 0 0 0 0 0 0 1.7 98.3
2015 139 ≥ 32 ≥ 32 NA 0 0 0 0 0 0 0 0.7 99.3
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Tetracycline MIC frequency distribution (% of isolates)
≤ 0.25 0.5 1 2 4 8 16 32 ≥ 64
2011 102 1 2 NA 4.9 42.2 38.2 8.8 4.9 0 1 0 0
2012 103 0.5 2 NA 7.8 51.5 29.1 4.8 4.8 0 1.9 0 0
2013 112 1 4 NA 0 6.3 75 8 8 0 2.7 0 0
2014 116 0.5 2 NA 0 59.5 25 12.1 2.6 0 0.9 0 0
2015 139 1 2 NA 0 45.3 44.6 7.9 1.4 0 0.7 0 0
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Tilmicosin MIC frequency distribution (% of isolates)
≤ 0.25 0.5 1 2 4 8 16 32 ≥ 64
2011 102 32 ≥ 64 NA 0 0 0 0 0 2 14.7 68.6 14.7
2012 103 32 32 NA 0 0 0 0 1 1 13.6 77.6 6.8
2013 112 32 ≥ 64 NA 0 0 0 0 0 4.5 9.8 63.4 22.3
2014 116 32 ≥ 64 NA 0 0 0 0 0.9 6.9 8.6 56 27.6
2015 139 32 ≥ 64 NA 0 0 0 0 0.7 5 2.9 48.2 43.2
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S TMP-SMX MIC frequency distribution (% of isolates)
≤ 0.06 0.12 0.25 0.5 1 2 4 8 ≥ 16
2011 102 8 8 NA 6.9 1.9 3.9 0 0 12.7 21.6 48 4.9
2012 103 8 8 NA 10.7 0 1 0 1.9 4.8 24.3 47.6 9.7
2013 112 8 ≥ 16 NA 7.1 1.8 0 0 0 3.6 6.3 43.8 37.4
2014 116 8 ≥ 16 NA 7.8 0 0.9 0 0.9 4.3 21.6 47.4 17.1
2015 139 8 ≥ 16 NA 5 0 0 0 0.7 4.3 8.6 71.9 9.4
Year No. MIC50 (µg/mL) MIC90 (µg/mL) %S Tulathromycin MIC frequency distribution (% of isolates)
≤ 0.5 1 2 4 8 16 32 64 ≥ 128
2011 102 8 16 100 0 0 2 2.9 54.9 40.2 0 0 0
2012 103 8 8 99 0 0 2.9 22.3 70.9 2.9 1 0 0
2013 112 8 8 99.1 0 0.9 4.5 19.6 71.4 2.7 0.9 0 0
2014 116 8 8 100 0 0.9 12.1 6.9 73.3 6.9 0 0 0
2015 139 8 16 100 1.4 2.2 2.9 3.6 71.2 18.7 0 0 0
*  No. = the number of isolates tested per year; MIC50 = antibacterial drug concentration that inhibits 50% of the bacterial population; MIC90 = antibacterial drug concentration that inhibits 90% of the bacterial population; %S = the percentage of isolates that are susceptible to the antibacterial drug using Clinical and Laboratory Standards Institute (CLSI) criteria; NA = not applicable since there are no CLSI-approved clinical breakpoints for susceptibility in that swine respiratory disease pathogen; NT = not tested; vertical bold lines indicate the CLSI-approved breakpoint for susceptible, intermediate, and resistant in that swine respiratory disease pathogen; TMP-SMX = trimethoprim-sulfamethoxazole; numbers in the lowest concentration of the tested antibacterial drug range represent the percentage of isolates that had MICs less than or equal to the lowest drug concentration tested per year, while numbers above the highest antibacterial drug concentration represent the percentage of isolates that had MICs greater than the highest drug concentration tested that year. Percent MIC frequency rows may not add to 100% due to rounding.

Discussion

The availability of antimicrobial agents to combat respiratory disease in veterinary medicine continues to have a beneficial effect on the health and welfare of swine and other livestock, and the use of antimicrobial agents helps support the safe, humane, and economical production of food.10The prevalence of A pleuropneumoniae, P multocida, S suis, and B bronchiseptica pathogens associated with SRD emphasizes the importance of maintaining high levels of susceptibility to antimicrobial agents that are available to veterinarians for treatment of these pathogens.11 Surveillance and monitoring studies for antimicrobial resistance in pathogenic bacteria of animal origin are necessary to understand any rates of change in the susceptibility of bacteria to antimicrobial agents, thereby serving as one component among many to help guide practitioners to select the most appropriate antimicrobial agent for treatment of disease.12 A limited number of recent studies have investigated in vitro susceptibilities of specific antimicrobial agents used to treat swine pathogens associated with respiratory disease on a national basis.4,5,13,14

The SRD surveillance program reported herein has continuously obtained swine pathogens for over 15 years from veterinary diagnostic laboratories in North America, that have then been tested for antimicrobial susceptibility. The purpose for this ongoing surveillance study was to summarize the antimicrobial susceptibility profiles of 2940 isolates of four different pathogenic bacterial species associated with SRD collected from laboratories in the United States and Canada over a 5-year period from 2011 to 2015. To our knowledge, when coupled with our published SRD surveillance data from 2001 to 2010,4 this is the only surveillance program that has collected and published 15 years of SRD susceptibility data against a total of 9043 isolates from the United States and Canada. Susceptibility data from this ongoing surveillance study may be used as an indicator for the emergence of bacterial resistance, a feature which is found in other antimicrobial susceptibility surveillance programs.5,13,15 In addition to presenting summarized values such as MIC50, MIC90, and range values for the antimicrobial drugs, this report also includes the MIC frequencies for all available years in order to provide evidence of potential antimicrobial susceptibility changes among the SRD pathogens collected from 2011 to 2015. The presentation of MIC frequencies allows for the observation of any MIC shifts that may not be reflected with MIC50, MIC90, or percent susceptibility values.

Retrospective studies have been published that investigated the antimicrobial susceptibility of A pleuropneumoniae isolates from swine. Archambault et al16 reported the antimicrobial susceptibilities of 43 isolates of A pleuropneumoniae from Canada in which all isolates were 100% susceptible to ceftiofur, florfenicol, enrofloxacin, erythromycin, clindamycin, TMP-SMX, and tilmicosin, but reported a low level of susceptibility to chlortetracycline and oxytetracycline (11.6% and 9.3% susceptibility, respectively). A study by Vanni et al17 also showed high antimicrobial susceptibility for 992 isolates of A pleuropneumoniae to amphenicols, fluoroquinolones, and ceftiofur, while low rates of susceptibility were observed for tetracycline (< 17%) and penicillin (< 15%). El Garch et al18 reported the susceptibilities of 158 A pleuropneumoniae isolates isolated from pigs in 2009 to 2012 that showed 100% susceptibility to amoxicillin-clavulanate, ceftiofur, tiamulin, and tulathromycin with 96% to > 99% susceptibility to enrofloxacin, florfenicol, and tilmicosin, while tetracycline susceptibility was reported at 70%. Finally, Dayao et al14 reported 100% susceptibility to ceftiofur, florfenicol, and tulathromycin for 71 isolates. Susceptibility data for A pleuropneumoniae from our 2001 to 2010 SRD surveillance program reported 100% susceptibility to ceftiofur, florfenicol, and tulathromycin.4The high susceptibility rates from these reports are consistent with observations reported herein in which 100% susceptibility to ceftiofur and florfenicol, high levels of susceptibility (> 90% to 100%) to enrofloxacin and tulathromycin, and low levels of susceptibility (0% to 6%) to tetracycline were observed for 312 isolates of A pleuropneumoniae from 2011 to 2015. Additionally, the MIC90 values for ceftiofur (≤ 0.06 µg per mL) and florfenicol (0.5 µg per mL) with A pleuropneumoniae have remained well below the susceptible breakpoints since 2001.4

For P multocida isolated from swine, Glass-Kaastra et al19 published results on 1464 isolates collected from 1998 to 2010 in which susceptibility to ampicillin remained high from 1998 to 2007, with slightly decreased susceptibility from 2007 to 2010, while tetracycline susceptibility ranged from 60% to 90%. Dayao et al14 reported 100% susceptibility to ceftiofur, tilmicosin, and tulathromycin for 51 isolates, and El Garch et al18 reported 100% susceptibility for 152 P multocida isolates from pigs to amoxicillin-clavulanate, ceftiofur, enrofloxacin, and tulathromycin and 65.8% susceptibility to tetracycline. Susceptibility data for 2001 to 20104 from our SRD surveillance program reported 100% susceptibility to ceftiofur with high rates of susceptibility (> 90% to 100%) to enrofloxacin, florfenicol, tilmicosin, and tulathromycin. This current report shows 100% susceptibility to ceftiofur, enrofloxacin, and florfenicol, and high levels of susceptibility (> 90% to 100%) to ampicillin, penicillin, tilmicosin, and tulathromycin, with low levels of susceptibility (22.3% to 35.3%) to tetracycline for 855 P multocida isolates from 2011 to 2015. The MIC90 values for ceftiofur (≤ 0.03 µg per mL), enrofloxacin (≤ 0.03 µg per mL), and florfenicol (0.5 µg per mL) have also remained well below the susceptible breakpoints since 2001.4

Numerous studies have been published on the susceptibility of S suis to antimicrobial agents.19-21 Additionally, Callens et al22 reported on the antimicrobial susceptibility to nine antimicrobial agents for S suis isolated from healthy pigs in which low rates of susceptibility (5%) were reported for tetracycline, and high rates of susceptibility were reported for florfenicol (99.7%) and enrofloxacin (99.7% ). El Garch et al18 reported high susceptibility (96% to100%) to amoxicillin-clavulanate, ceftiofur, enrofloxacin, and florfenicol and 4% susceptibility to tetracycline when tested against 151 isolates of S suis. Susceptibility data from our 2001-2010 SRD surveillance program reported high rates of susceptibility (> 90% to 100%) to ceftiofur and florfenicol,4 and this current report shows high levels of susceptibility (> 90% to 100%) to ampicillin, ceftiofur, and florfenicol, with low levels of susceptibility (0% to 1.3%) to tetracycline against 1201 S suis isolates from 2011 to 2015.

For B bronchiseptica, Dayao et al14 reported 100% susceptibility to tulathromycin for 18 isolates, while El Garch et al18 reported high susceptibility to amoxicillin-clavulanate (95.8%) and tulathromycin (99.2%) and lower susceptibility to florfenicol (52.5%) for 118 isolates. The inclusion of B bronchiseptica into this surveillance program did not occur until 2009. Three antimicrobial drugs used in this study have established CLSI clinical breakpoints for B bronchiseptica including ampicillin, florfenicol, and tulathromycin. For this study, 99% to 100% susceptibility to tulathromycin was observed, while no susceptibility (0%) to ampicillin and low susceptibility (5.4% to 23.5%) to florfenicol were observed against 572 B bronchiseptica isolates from 2011 to 2015.

A number of authors have highlighted the challenges of surveillance programs and the potential biases that may be encountered.6,23,24 While there is no “gold standard” for evaluating the antimicrobial surveillance of animal pathogens, a report is available that offers guidance on areas in which harmonization can be achieved in veterinary antimicrobial surveillance programs with the intent of facilitating comparison of data among surveillance programs.25 All surveillance studies still have certain biases and limitations to consider when interpreting susceptibility data. For this current study, 2940 clinical isolates were collected from 2011 to 2015 and analyzed, but this number of clinical isolates is still small when considering the number of cases of SRD in North America over the last 5 years. As the isolates in this current study originated from many veterinary diagnostic laboratories, the methods of sample selection, collection, and submission varied among laboratories. To help decrease regional sampling bias in this study, the number of isolates of a target species from any herd was restricted to one isolate during any quarter year period.4 However, the number of isolates submitted by each participating laboratory was different per year, and not all enrolled laboratories may have actually submitted isolates for susceptibility testing. The design of the survey, including limits on the number of isolates collected within a given time period from a single herd and from a single diagnostic laboratory, can help reduce but not eliminate selection bias. The use of just two laboratories to perform the MIC testing minimized potential testing bias, and both laboratories adhered strictly to standard microbiological methods for veterinary susceptibility testing and quality-control standards published by CLSI. Finally, biases reported in other programs, such as a passive surveillance design, non-consideration in differences between livestock farm types and sizes, or prior treatment of animals with antibacterial agents, are acknowledged in this and other studies.4,5 Furthermore, the lack of clinical breakpoints or interpretive criteria for certain antibacterial agents against pathogens to determine rates of susceptibility continue to be a limitation to veterinary surveillance. A greater collaborative effort among academic and industrial veterinary groups should be made to identify what gaps exist for available breakpoints and then establish CLSI-endorsed clinical breakpoints as long as a standardized approach is used.

The interpretation of MIC values from this study relies on clinical breakpoints to predict a potential susceptible, intermediate, or resistant outcome for use of an antibacterial agent to treat an infection.8 The category of “susceptible” implies that an infection due to a bacterial pathogen may be susceptible to treatment with an antibacterial agent, taking into consideration the dosage regimen; the “intermediate” category implies that an infection due to a bacterial pathogen may be susceptible to treatment where the agent is physiologically concentrated and serves as a buffer zone against technical factors that may cause discrepancies in interpretation; the “resistant” category implies that resistant strains are not inhibited by the achievable concentrations of an antibacterial agent and resistance mechanisms are likely present within the pathogen.8 In establishing veterinary-specific clinical breakpoints, a tripartite database, including minimal inhibitory concentration distribution data, pharmacokinetic-pharmacodynamic data, and clinical outcome data, are considered. It should be kept in mind that the purpose of antimicrobial susceptibility testing is not to mimic in vivo conditions, but to establish a method that provides reproducible results that may be correlated to clinical outcome, and that the in vitro antibacterial activity of an antimicrobial agent is only one component to consider for the likelihood of overall clinical efficacy in which pharmacokinetics and drug dosage also play a major role.26 Additionally, other factors, such as health status of the animal, virulence factors of a pathogen, co-infections, stage of respiratory disease, and time point of antibacterial drug administration, among many other variables, must also be considered regarding clinical outcome by the attending veterinarian.27

The data presented from this current study, especially data that show a continued lack of susceptibility to certain antimicrobial agents such as tetracycline, should serve to underscore the importance of prudent use of these drugs when treating SRD. Although tetracycline has traditionally served as the “class representative” agent for in vitro susceptibility testing for veterinary tetracyclines, extrapolation of tetracycline susceptibility results may not necessarily be predictive of activity or clinical outcome for other tetracycline agents, such as oxytetracycline or chlortetracycline, due to differences in blood and lung-tissue concentrations and differences in bioavailability. Even though there are CLSI-established clinical breakpoints for tetracycline that were used in evaluating data in this study, it should be pointed out that these breakpoint values were derived partly from oxytetracycline pharmacokinetic data.9

The high levels of antimicrobial susceptibility observed in this study and others may be attributed to specific health management practices within swine herds, such as the “all-in, all-out” management practice system. This practice involves the commingling of pigs of similar age and weight, as well as group housing and pen cleaning between housing episodes, among other key components, and has been successful in combating the spread of certain infectious diseases.28 Future studies may be able to determine if this management practice has an effect on antibiotic resistance changes over time, and if resistance reduction can be achieved through alternations in further enhanced housing and cleaning practices. Additionally, a pragmatic variation of the “all-in, all-out” model may represent an opportunity for other livestock practices to follow, especially since rates of antimicrobial resistance among cattle respiratory pathogens appear to be higher than those among swine respiratory pathogens.4,29

The results of this surveillance study using standardized susceptibility testing methods show high percentages of antimicrobial susceptibility among the major respiratory tract pathogens isolated from swine across the United States and Canada, except for tetracycline, and results from this 5-year SRD surveillance study are similar to those previously published.4 This surveillance study continues to be useful in identifying the development of antimicrobial resistance among SRD target pathogens, which is crucial for the prudent use of antimicrobial agents in veterinary medicine. Additionally, understanding the in vitro susceptibility of SRD pathogens isolated in the United States and Canada continues to be an important component of antimicrobial stewardship. Even though this study shows high rates of susceptibility for antimicrobial agents against SRD pathogens, public perceptions, as well as regulatory pressures, continue to drive the need for newer, alternative treatment options which may include novel antibacterial classes, re-evaluation of older or discontinued antibacterial agents, posology, and alternative approaches such as bacteriophages and peptides.30

Implications

•  Key antimicrobial agents approved for treatment of SRD in the United States and Canada have high rates of susceptibility for A pleuropneumoniae, P multocida, S suis, and B bronchiseptica.

•  Under the conditions of this study, the lowest rates of susceptibility are seen with tetracycline against A pleuropneumoniae, P multocida, and S suis, and with ampicillin and florfenicol against B bronchiseptica.

•  Continuous monitoring of antimicrobial susceptibility among swine pathogens provides up-to-date information about susceptibility trends for commonly used antimicrobial agents and is an important component of responsible use and antimicrobial stewardship.

Acknowledgements

The authors want to thank the following veterinary diagnostic laboratories for providing isolates for this study: Cornell University, Iowa State University, Kansas State University, Manitoba Agriculture Services, Michigan State University, North Carolina Department of Agriculture, Ohio Department of Agriculture, Oklahoma State University, Pennsylvania State University, South Dakota State University, Texas A&M (College Station), University of California Davis (Davis), University of California (Tulare), University of Guelph, University of Illinois, University of Minnesota, University of Montreal, University of Nebraska, University of Saskatchewan, University of Wisconsin (Barron), and Washington State University.

Conflict of interest

Authors MTS, CL, LJ, LM, MKS, RM, SFK, RT, and JLW were employed by Zoetis; and authors DB and CM were employed by Microbial Research, Inc, at the time this study was being planned and performed.

Disclaimer

Scientific manuscripts published in the Journal of Swine Health and Production are peer reviewed. However, information on medications, feed, and management techniques may be specific to the research or commercial situation presented in the manuscript. It is the responsibility of the reader to use information responsibly and in accordance with the rules and regulations governing research or the practice of veterinary medicine in their country or region.

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