Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-03T02:53:19.210Z Has data issue: false hasContentIssue false

Salmonella enterica serotypes and antibiotic susceptibility in New Zealand, 2002–2007

Published online by Cambridge University Press:  05 August 2009

E. I. BROUGHTON*
Affiliation:
Johns Hopkins School of Public Health, Department of International Health, Baltimore, MD, USA
H. M. HEFFERNAN
Affiliation:
ESR – Antibiotic Reference Laboratory, Porirua, Wellington, New Zealand
C. L. COLES
Affiliation:
Johns Hopkins School of Public Health, Department of International Health, Baltimore, MD, USA
*
*Author for correspondence: Dr E. I. Broughton, Johns Hopkins Bloomberg School of Public Health, International Health Department, 615 N. Wolfe Street, Baltimore, MD21205, USA. (Email: [email protected])
Rights & Permissions [Opens in a new window]

Summary

We analysed the serotypes and antibiotic susceptibility of 1560 human and 1505 non-human Salmonella isolated in New Zealand (NZ) between 2002 and 2007. The most common serotypes in humans were Salmonella enterica serovar Typhimurium, S. Enteritidis, S. Brandenburg and S. Infantis. Over the 6-year period human cases due to S. Agona and S. Enteritidis increased and cases due to S. Typhimurium decreased. The most common serotypes from non-human sources were S. Typhimurium, S. Brandenberg, S. Hindmarsh and S. Infantis, and there were no significant changes over time. More isolates were non-susceptible to streptomycin than to any other antibiotic. Almost all isolates were susceptible to ciprofloxacin and gentamicin. There were significant trends of increasing non-susceptibility to streptomycin and sulfonamides in isolates from human and non-human sources, while ampicillin, tetracycline and multidrug non-susceptibility also increased in human isolates. Despite these increases, rates of antibiotic non-susceptibility in Salmonella in NZ are still lower than in many international settings.

Type
Original Papers
Copyright
Copyright © Cambridge University Press 2009

INTRODUCTION

Non-typhoidal Salmonella enterica infection is one of the leading causes of gastrointestinal illness, responsible for several million human cases and thousands of deaths worldwide each year [1]. These Gram-negative zoonotic bacteria are transmitted to humans mostly by exposure to contaminated food. In most cases, the illness is self-limiting and treatment with antibiotics is not recommended. However, more severe invasive infections can occur, particularly in the very young, the elderly and immunocompromised individuals. Antibiotic therapy is often recommended in these cases. Studies have shown that the odds of invasive infection are up to four times higher with multidrug-resistant Salmonella compared to pan-susceptible Salmonella [Reference Martin2, Reference Varma3]. Salmonellosis caused by drug-resistant strains is also associated with a 30–50% longer duration of illness, a three times higher risk of hospitalization and a three times higher risk of death compared to pan-susceptible Salmonella [Reference Molbak4, Reference Holmberg, Wells and Cohen5].

While antibiotic resistance in Salmonella is a phenomenon that receives much research attention, there are relatively few studies that quantify changes in resistance over time in specific settings [Reference McDermott and Aarestrup6]. In Iran, clinical Salmonella isolates obtained between 1996 and 2006 showed increased resistance to nalidixic acid from 9% to 43% and to ceftazidime from 3% to 23% [Reference Ashtiani, Monajemzadeh and Kashi7]. Of non-human isolates in the USA between 1999 and 2003, there was increased sulfisoxazole resistance, decreased tetracycline resistance and fluctuating streptomycin resistance [Reference Kiessling8]. The proportion of resistance remained stable in human and non-human isolates in Austria from 1983 to 2007 [Reference Kornschober, Mikula and Springer9].

We describe the serovar distribution and antibiotic susceptibility in Salmonella collected from human and non-human sources in New Zealand (NZ) from 2002 to 2007. We also assess changes over time in serovar distribution and antibiotic susceptibility using logistic regression. This information is important for gauging the risk that Salmonella poses to human health and in aiding the development of rational guidelines for empiric therapy of Salmonella infections in humans and for therapeutic and non-therapeutic antibiotic use in animals.

METHODS

Sources and sampling

We analysed results from serotyping and antibiotic susceptibility testing conducted on isolates referred to NZ's Institute of Environmental Science and Research (ESR). All hospital and community laboratories in NZ are requested to refer all isolates from human salmonellosis cases. Salmonellosis is a notifiable disease in NZ and the notification form includes questions on overseas travel within the incubation period. Cases identified as likely to have originated outside NZ were excluded from our analysis. Salmonella isolates of non-human origin are referred to ESR from three sources: (1) diagnostic veterinary laboratories that refer isolates obtained predominantly from ill animals, including some post-mortem samples, (2) the NZ Food Safety Authority's programme that refers all isolates obtained from surveillance of processed meats from beef, sheep, poultry, deer and goats [10], and (3) commercial laboratories that refer isolates from food and environmental sources. These non-human samples were classified into three groups: (1) food animals, (2) other food sources, and (3) other sources. Isolates from imported foods were excluded. All isolates referred to ESR are serotyped. The antibiotic susceptibility of a sample of ~600 isolates is tested each year. This sample was obtained by testing every eighth referred isolate in 2002 and every fifth referred isolate from 2003 to 2007.

Laboratory analysis

Salmonella isolates were serotyped using the Kauffmann–White scheme [11]. The CLSI disc diffusion method was used to determine antimicrobial susceptibility [12, 13]. The antibiotics tested were ampicillin (Amp), cephalothin (Cep), chloramphenicol (Chl), ciprofloxacin (Cip), co-amoxiclav (amoxicillin/clavulanic acid, CoAm), cotrimoxazole (Cot), gentamicin (Gen), nalidixic acid (Nal), sulfonamides (Sul), streptomycin (Str), tetracycline (Tet) and trimethoprim (Tri). Co-amoxiclav and nalidixic acid have only been tested since 2004.

Isolates were considered non-susceptible if they were classified as intermediate or resistant according to CLSI interpretive standards [12, 13]. Multidrug non-susceptibility (MDNS) was defined as non-susceptibility to three or more of the tested antibiotics. Non-susceptibility to cotrimoxazole and trimethoprim was considered as a single non-susceptibility as was non-susceptibility to nalidixic acid and ciprofloxacin.

Statistical methods

Given the high number of serovars identified, only the top six were considered separate entities in the analyses and in logistic regression. Isolates identified as serovars not in these six were categorized as ‘other’ for the purpose of analysis and no conclusions can be drawn for individual isolates in this category.

Logistic regression was used to determine trends over time in serovar distribution and non-susceptibility. An odds ratio (OR) >1 indicates a higher odds of the variable of interest in successive years. For example, an OR of 1·69 for non-susceptibility to streptomycin indicates a 69% increase in the odds of non-susceptibility, on average per year, for each successive year between 2002 and 2007. All analyses were conducted using Stata Intercooled Version 9 (Stata Corp., USA).

RESULTS

Out of the 16640 Salmonella isolates referred to ESR from 2002 to 2007, we analysed 3065 (18%) isolates for which serotyping and susceptibility testing was conducted. A total of 1560 (51%) was from human sources and the remaining 1505 (49%) were from non-human sources. The six most common serovars were S. Typhimurium, which comprised more than half of human isolates, followed by S. Brandenburg, S. Infantis, S. Enteritidis, S. Hindmarsh and S. Agona (Table 1). S. Enteritidis isolates were almost exclusively from human sources while S. Hindmarsh and, to a lesser extent, S. Brandenburg were predominantly isolated from non-human sources (Table 1). There were no statistically significant trends over the 6 years in the distribution of the six most common serovars in non-human isolates. Of isolates from human sources, there were statistically significant increases in S. Agona and S. Enteritidis (OR 1·51 and 1·13, respectively) while there was a significant decrease in the odds of an isolate being S. Typhimurium by a factor of 0·89 over successive years (Table 1).

Table 1. Salmonella serovars by source, 2000–2007

OR, Odds ratio.

Statistically significant: * P<0·05, ** P<0·01.

Overall during the 6-year period, 22% of isolates from human sources and 25% of isolates from non-human sources were non-susceptible to streptomycin. Five percent or fewer of the human or non-human isolates were non-susceptible to any of the other antibiotics. Almost all isolates from all sources were susceptible to ciprofloxacin and gentamicin (Table 2). Between 2002 and 2007, there was a significant trend of increasing non-susceptibility to streptomycin and sulfonamides in isolates from both human and non-human sources, while ampicillin, tetracycline and MDNS also increased in human isolates (Table 2).

Table 2. Non-susceptible Salmonella isolates from human and non-human sources, 2002–2007

Amp, ampicillin; Cep, cephalothin; Chl, chloramphenicol; Cip, ciprofloxacin; CoAm, amoxicillin/clavulanic acid; Cot, cotrimoxazole; Gen, gentamicin; Nal, nalidixic acid; Sul, sulfonamides; Str, streptomycin, Tet, tetracycline; Tri, trimethoprim; MDNS, multidrug non-susceptibility to ⩾3 antibiotics; OR, odds ratio; H, human sources of Salmonella isolates; NH, non-human sources of Salmonella isolates;

Statistically significant: * P<0·05, ** P<0·01.

Table 3 shows the serovar distribution for the five most commonly occurring antibiotic non-susceptibilities and MDNS. There was a high prevalence of streptomycin non-susceptibility in all the common serovars except for the five S. Hindmarsh isolates from humans. Ninety percent (27/30) of MDNS S. Typhimurium from non-human sources were non-susceptible to sulfonamides, streptomycin and tetracycline with 26% (7/27) of these also non-susceptible to trimethoprim and ampicillin. Of human MDNS S. Typhimurium isolates, 87% (13/15) were non-susceptible to sulfonamides, streptomycin and tetracycline with 77% (10/13) of these also non-susceptible to ampicillin. Eight (5·8%) S. Enteritidis isolates were MDNS with variable non-susceptibility patterns. Although there were only ten human S. Agona isolates, there was a high rate of non-susceptibility in them with three being non-susceptible to chloramphenicol, nalidixic acid, sulfonamides, streptomycin and tetracycline. S. Hindmarsh was the most susceptible of the six most common serovars.

Table 3. Non-susceptibility to selected antibiotics by serovar and source

Amp, ampicillin; Sul, sulfonamides; Str, streptomycin, Tet, tetracycline; Nal, nalidixic acid; MDNS, multidrug non-susceptibility to ⩾3 antibiotics; H, human sources of Salmonella isolates; NH, non-human sources of Salmonella isolates.

* Nal susceptibility from non-human sources not included because there were only three: one S. Agona, one S. Infantis and one other serovar.

Table 4 shows non-susceptibilty, in the groups of non-human isolates, to the five antibiotics to which non-susceptibility was most common in all non-human isolates. Bovines had the highest levels of antibiotic non-susceptibility in the food animals. Ampicillin, tetracycline and trimethoprim non-susceptibility was rarely seen in ovine or poultry isolates.

Table 4. Non-susceptibility of non-human isolates to selected antibiotics by source

Amp, ampicillin; Sul, sulfonamides; Str, streptomycin, Tet, tetracycline; Tri, trimethoprim.

Other food animals includes isolates from 4 pigs, 2 deer and 1 goat.

Other sources includes isolates from environmental samples and other animals such as felines and canines.

DISCUSSION

In NZ salmonellosis is the second most commonly notified bacterial gastrointestinal illness after campylobacteriosis. The annual rate of notified cases of human salmonellosis averaged 34/100 000 population throughout the 2002–2007 period [1418]. The majority of cases were caused by S. Typhimurium, although the proportion of cases due to this serovar decreased during our study period. This predominance of S. Typhimurium in human isolates is different to the global pattern of serovar distribution identified in the WHO's Global Salm-Surv worldwide surveillance [Reference Galanis19], but consistent with findings in Australia and North America [Reference Galanis19, 20]. S. Typhimurium was also the predominant serovar in non-human isolates, which is consistent with the global pattern.

S. Brandenburg appears to be more common in NZ than in any other setting, due to its emergence and rapid spread in sheep from 1998 onwards. Accordingly, this serovar has been associated with sheep farmers in NZ [Reference Clark21]. We found no change in the proportion of S. Brandenburg since 2002 in human or non-human isolates.

NZ had a much lower proportion of non-susceptible Salmonella from humans in 2002 compared to many other settings [Reference Karon22, Reference Weill23]. Despite some significant increases in non-susceptibility during the study period, there is still a smaller proportion of non-susceptible isolates in NZ than in other countries [Reference Karon22, Reference Parry and Threlfall24]. The statistically significant increase in MDNS Salmonella since 2002 in human isolates was mostly due to the increased non-susceptibility to ampicillin, streptomycin and sulfonamides. These antibiotics are generally not used to treat clinical salmonellosis cases. While there was almost universal susceptibility to ciprofloxacin, the relatively high level of non-susceptibility to nalidixic acid, especially in S. Enteritidis, suggests caution should be used in treating invasive infection with fluoroquinolones [Reference Ruiz25].

The high level of non-susceptibility to streptomycin in Salmonella from non-human sources that we found is consistent with findings in several other countries [Reference Elgroud26Reference Yoke-Kqueen29]. Streptomycin is widely used in cattle and sheep farming in NZ, although this use has been declining since 2001 [30]. Tetracycline non-susceptibility was lower than that found elsewhere [Reference Elgroud26Reference Yoke-Kqueen29]. While tetracycline is used for prophylaxis and therapy, its use as a growth promotant is banned in NZ and the level of use is thought to be lower than in other settings [30]. Overall, there was a lower prevalence of non-susceptibility to ampicillin than reported in other surveys, possibly due to the very low levels of use in food animals [30]. The statistically significant increase in non-susceptibility to sulfonamides in this study was consistent with a study by Kiessling et al. [Reference Kiessling8] that found only limited changes in overall antibiotic susceptibility occurring over time, with increasing resistance to sulfisoxazole and decreasing resistance to tetracycline from 1999–2003 in isolates from imported and USA domestic samples.

S. Typhimurium was more likely to be MDNS than the other common serovars for non-human isolates. This serovar has been found to have high levels of MDNS in other studies in both human [Reference Oloya, Doetkott and Khaitsa31, Reference Meakins32] and non-human isolates [Reference Garcia-Feliz27, Reference Oloya, Doetkott and Khaitsa31]. Of human isolates here, a higher proportion of S. Agona and S. Enteritidis were MDNS than S. Typhimurium.

One weakness of this study is that humans infected with less virulent and pathogenic Salmonella will have more mild illness and be less likely to seek medical attention than those infected with more virulent and pathogenic serovars. Therefore the isolates represented here and in any similar surveillance system are likely to represent only the more pathogenic strains of the bacteria.

There may also have been biases in the reporting of both human and non-human isolates from foreign sources. While isolates from patients with a history of overseas travel and from imported foods were excluded when they were identified, it is possible that the reporting system did not identify all such isolates. There is generally a higher level of non-susceptibility found in foreign isolates, so failure to exclude all of these may result in higher non-susceptibility in this sample, although the possible impact of this is likely to be small. It is possible that samples from veterinary diagnostic sources may not represent a random sample of Salmonella isolates. Veterinarians may be more likely to send for further analysis those samples from cases in which first-line treatment has failed thereby increasing the proportion of non-susceptible isolates. Representativeness of the samples may also be compromised by changes in the proportions of animal species tested and the geographical location of the sources from year to year.

Pigs have been identified as an important source of Salmonella in several studies [Reference Garcia-Feliz27, Reference Benschop33, Reference Emborg, Baggesen and Aarestrup34]. However, only four porcine isolates were included in our study. This is partially a reflection of the relatively small size of the NZ pork industry in comparison to other livestock industries, and the fact that the NZ Food Safety Authority has not included pork in its processed meats surveillance programme. The Authority is planning to include pork in future surveillance [35].

Another potential weakness in the study is the inherent difficulty of susceptibility testing. Streptomycin testing can be a particular challenge because many Salmonella isolates may have inhibition zone diameters very close to the breakpoints [Reference Hendriksen, Karlsmorse and Aarestrup36, Reference Hendriksen37]. The ESR laboratory participates in the Global Salm-Surv's External Quality Assurance System and in 2007 obtained 100% agreement with streptomycin susceptibility results. However, this was not always the case in previous years.

In view of the growing threat to public health that drug-resistant bacteria pose, tracking changes in Salmonella serovars and antibiotic susceptibility is important to assess the risk of exposure to foodborne pathogens and to guide appropriate management of salmonellosis in humans and animals. This study demonstrates that antibiotic-resistant Salmonella in NZ presents a lower threat than in many international settings but this has increased during the 2002–2007 period. We recommend continued surveillance and ongoing analysis of these trends over time.

ACKNOWLEDGEMENTS

We thank Neil Kennington of the NZ Food Safety Authority for reviewing the manuscript and Carolyn Nicol of ESR for her helpful technical assistance. The Johns Hopkins Center for a Livable Future at the Bloomberg School of Public Health provided support to E.B. for the data analysis. Serotyping and antibiotic susceptibility testing undertaken at ESR was funded by the NZ Ministry of Health.

DECLARATION OF INTEREST

None.

References

REFERENCES

1.World Health Organization. Drug resistant Salmonella. Fact Sheet No. 139 (http://www.who.int/mediacentre/factsheets/fs139/en/print.html) Accessed 22 December 2008.Google Scholar
2.Martin, LJ, et al. Increased burden of illness associated with antimicrobial-resistant Salmonella enterica serotype Typhimurium infections. Journal of Infectious Diseases 2004; 189: 377384.CrossRefGoogle ScholarPubMed
3.Varma, JK, et al. Antimicrobial-resistant nontyphoidal Salmonella is associated with excess bloodstream infections and hospitalizations. Journal of Infectious Diseases 2005; 191: 554561.CrossRefGoogle ScholarPubMed
4.Molbak, K. Spread of resistant bacteria and resistance genes from animals to humans – the public health consequences. Journal of Veterinary Medicine. B, Infectious Diseases and Veterinary Public Health 2004; 51: 364369.CrossRefGoogle ScholarPubMed
5.Holmberg, SD, Wells, JG, Cohen, ML. Animal-to-man transmission of antimicrobial-resistant Salmonella: investigations of U.S. outbreaks, 1971–1983. Science 1984; 225: 833835.CrossRefGoogle ScholarPubMed
6.McDermott, PF. Antimicrobial resistance in nontyphoidal Salmonellae. In: Aarestrup, FM, ed. Antimicrobial Resistance in Bacteria of Animal Origin. Washington, DC: ASM Press, 2006, pp. 293314.Google Scholar
7.Ashtiani, MT, Monajemzadeh, M, Kashi, L. Trends in antimicrobial resistance of fecal shigella and Salmonella isolates in Tehran, Iran. Indian Journal of Pathology and Microbiology 2009; 52: 5255.Google ScholarPubMed
8.Kiessling, CR, et al. Antimicrobial susceptibility of Salmonella isolated from various products, from 1999 to 2003. Journal of Food Protection 2007; 70: 13341338.CrossRefGoogle ScholarPubMed
9.Kornschober, C, Mikula, C, Springer, B. Salmonellosis in Austria: situation and trends. Wiener Klinische Wochenschrift 2009; 121: 96–102.CrossRefGoogle ScholarPubMed
10.New Zealand Food Safety Authority. Schedule 1: national biological database programme (http://www.nzfsa.govt.nz/animalproducts/legislation/notices/animal-material-product/nmd/schedule-1-technical-procedures-nmd-final.pdf). Accessed 10 February 2008.Google Scholar
11.WHO Collaborating Centre for Reference and Research on Salmonella. Antigenic formulae of the Salmonella serovars. Paris: Pasteur Institute, 2001.Google Scholar
12.Clinical and Laboratory Standards Institute. Performance standards for antimicrobial disk susceptibility tests; approved standard – ninth edition. Villanova, PA, USA: CLSI, 2006.Google Scholar
13.Clinical and Laboratory Standards Institute. Performance standards for antimicrobial susceptibility testing, eighteenth informational supplement. Villanova, PA, USA: CLSI, 2008.Google Scholar
14.Institute of Environmental Science and Research. Notifiable and other diseases in New Zealand – 2007 Annual Surveillance Report: Appendix (http://www.surv.esr.cri.nz/PDF_surveillance/AnnualRpt/AnnualSurv/2007AnnualSurvTables.pdf). Accessed 30 April 2009.Google Scholar
15.Institute of Environmental Science and Research. Notifiable and other diseases in New Zealand – 2006 Annual Surveillance Report: Appendix (http://www.surv.esr.cri.nz/PDF_surveillance/AnnualRpt/AnnualSurv/2006AnnualSurvTables.pdf). Accessed 30 April 2009.Google Scholar
16.Institute of Environmental Science and Research. Notifiable and Other Diseases in New Zealand – 2004 Annual Surveillance Report: Appendix (http://www.surv.esr.cri.nz/PDF_surveillance/AnnualRpt/AnnualSurv/2004AnnualSurvTables.pdf). Accessed 30 April 2009.Google Scholar
17.Institute of Environmental Science and Research. Notifiable and Other Diseases in New Zealand – 2002 Annual Surveillance Report: Appendix (http://www.surv.esr.cri.nz/PDF_surveillance/AnnualRpt/AnnualSurv/2002AnnualSurvTables.pdf). Accessed 30 April 2009.Google Scholar
18.Institute of Environmental Science and Research. Public health surveillance: Annual surveillance summary. New Zealand Ministry of Health. (http://www.surv.esr.cri.nz/surveillance/annual_surveillance.php). Accessed 7 April, 2009.Google Scholar
19.Galanis, E, et al. Web-based surveillance and global Salmonella distribution, 2000–2002. Emerging Infectious Diseases 2006; 12: 381388.CrossRefGoogle ScholarPubMed
20.OzfoodNet Working Group. Reported foodborne illness and gastroenteritis in Australia: annual report of the OzfoodNet network, 2004. Communicable Disease Intelligence 2005; 29: 165192.Google Scholar
21.Clark, RG, et al. Salmonella Brandenburg – emergence of a new strain affecting stock and humans in the South Island of New Zealand. New Zealand Veterinary Journal 2004; 52: 2636.CrossRefGoogle ScholarPubMed
22.Karon, AE, et al. Human multidrug-resistant Salmonella Newport infections, Wisconsin, 2003–2005. Emerging Infectious Diseases 2007; 13: 17771780.CrossRefGoogle ScholarPubMed
23.Weill, FX, et al. Multidrug resistance in Salmonella enterica serotype Typhimurium from humans in France (1993 to 2003). Journal of Clinical Microbiology 2006; 44: 700708.CrossRefGoogle ScholarPubMed
24.Parry, CM, Threlfall, EJ. Antimicrobial resistance in typhoidal and nontyphoidal salmonellae. Current Opinion in Infectious Diseases 2008; 21: 531538.CrossRefGoogle ScholarPubMed
25.Ruiz, M, et al. Available options in the management of non-typhi Salmonella. Expert Opinion on Pharmacotherapy 2004; 5: 17371743.CrossRefGoogle ScholarPubMed
26.Elgroud, R, et al. Characteristics of Salmonella contamination of broilers and slaughterhouses in the region of Constantine (Algeria). Zoonoses and Public Health 2009; 56: 8493.CrossRefGoogle ScholarPubMed
27.Garcia-Feliz, C, et al. Antimicrobial resistance of Salmonella enterica isolates from apparently healthy and clinically ill finishing pigs in Spain. Zoonoses and Public Health 2008; 55: 195205.CrossRefGoogle ScholarPubMed
28.Parveen, S, et al. Prevalence and antimicrobial resistance of Salmonella recovered from processed poultry. Journal of Food Protection 2007; 70: 24662472.CrossRefGoogle ScholarPubMed
29.Yoke-Kqueen, C, et al. Characterization of multiple-antimicrobial-resistant Salmonella enterica Subsp. enterica isolated from indigenous vegetables and poultry in Malaysia. Letters in Applied Microbiology 2008; 46: 318324.CrossRefGoogle ScholarPubMed
30.Ministry of Agriculture and Forestry. Summary of antimicrobial use in animals in New Zealand; 2001 (http://www.nzfsa.govt.nz/acvm/publications/information-papers/summary-antimicrobial-use.pdf). Accessed 10 April 2009.Google Scholar
31.Oloya, J, Doetkott, D, Khaitsa, ML. Antimicrobial drug resistance and molecular characterization of Salmonella isolated from domestic animals, humans, and meat products. Foodborne Pathogens and Disease 2009; 6: 273284.CrossRefGoogle ScholarPubMed
32.Meakins, S, et al. Antimicrobial drug resistance in human nontyphoidal Salmonella isolates in Europe 2000–2004: a report from the Enter-net International Surveillance Network. Microbial Drug Resistance 2008; 14: 3135.CrossRefGoogle ScholarPubMed
33.Benschop, J, et al. Temporal and longitudinal analysis of Danish Swine Salmonellosis Control Programme data: implications for surveillance. Epidemiology and Infection 2008; 136: 15111520.CrossRefGoogle ScholarPubMed
34.Emborg, HD, Baggesen, DL, Aarestrup, FM. Ten years of antimicrobial susceptibility testing of Salmonella from Danish pig farms. Journal of Antimicrobial Chemotherapy 2008; 62: 360363.CrossRefGoogle ScholarPubMed
35.New Zealand Food Safety Authority. Inclusion of porcine in the NMD 2009 (http://www.nzfsa.govt.nz/animalproducts/publications/consultation/nmd-porcine/page-03.htm#P141_14751). Accessed 7 April 2009.Google Scholar
36.Hendriksen, RS, Karlsmorse, S, Aarestrup, FM.The external quality assurance system of the WHO Global Salm-Surv: Year 2007. Copenhagen. Denmark: National Food Institute, 2008.Google Scholar
37.Hendriksen, RS, et al. Results of use of WHO Global Salm-Surv external quality assurance system for antimicrobial susceptibility testing of Salmonella isolates from 2000 to 2007. Journal of Clinical Microbiology 2009; 47: 7985.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Salmonella serovars by source, 2000–2007

Figure 1

Table 2. Non-susceptible Salmonella isolates from human and non-human sources, 2002–2007

Figure 2

Table 3. Non-susceptibility to selected antibiotics by serovar and source

Figure 3

Table 4. Non-susceptibility of non-human isolates to selected antibiotics by source