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Ceftiofur-resistant Salmonella enterica serovar Heidelberg of poultry origin – a risk profile using the Codex framework

Published online by Cambridge University Press:  04 November 2019

Carolee Carson*
Affiliation:
Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph, Ontario, Canada
Xian-Zhi Li
Affiliation:
Veterinary Drugs Directorate, Health Products and Food Branch, Health Canada, Ottawa, Ontario, Canada
Agnes Agunos
Affiliation:
Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph, Ontario, Canada
Daleen Loest
Affiliation:
Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph, Ontario, Canada
Brennan Chapman
Affiliation:
National Microbiology Laboratory, Public Health Agency of Canada, Guelph, Ontario, Canada
Rita Finley
Affiliation:
Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph, Ontario, Canada
Manisha Mehrotra
Affiliation:
Veterinary Drugs Directorate, Health Products and Food Branch, Health Canada, Ottawa, Ontario, Canada
Lauren M. Sherk
Affiliation:
University of Guelph, Guelph, Ontario, Canada
Réjean Gaumond
Affiliation:
Market and Industry Services Branch, Agriculture and Agri-Food Canada, Ottawa, Ontario, Canada
Rebecca Irwin
Affiliation:
Centre for Food-borne, Environmental and Zoonotic Infectious Diseases, Public Health Agency of Canada, Guelph, Ontario, Canada
*
Author for correspondence: Carolee Carson, E-mail: carolee.carson@canada.ca
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Abstract

Codex published the ‘Guidelines for Risk Analysis of Foodborne Antimicrobial Resistance’ to standardise the approach for evaluating risk posed by foodborne antimicrobial-resistant bacteria. One of the first steps in the guidelines is to compile a risk profile, which provides the current state of knowledge regarding a food safety issue, describes risk management options and recommends next steps. In Canada, ceftiofur/ceftriaxone-resistant Salmonella enterica subsp. enterica serovar Heidelberg from poultry was identified as an antimicrobial resistance (AMR) food safety issue. The first objective of this article was to contextualise this food safety issue, using the risk profile format of the Codex Guidelines. A second objective was to evaluate the applicability of the Codex Guidelines. This risk profile indicated that ceftiofur/ceftriaxone-resistant S. Heidelberg (CSH) was commonly isolated from poultry and was associated with severe disease in humans. Ceftiofur use in poultry hatcheries temporally mirrored the prevalence of CSH from poultry meat at retail and from people with salmonellosis. The evidence was sufficient to indicate the need for risk management options, such as restricting the use of ceftiofur in poultry. The Codex Guidelines provided a useful approach to summarise data for decision-makers to evaluate an AMR food safety issue.

Type
Review
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © Crown Copyright. Published by Cambridge University Press 2019

Introduction

Antimicrobial resistance (AMR) is a worldwide health threat, as demonstrated by global AMR surveillance data [1]. Although the most significant human health impacts associated with AMR occur in the human clinical setting [2], impacts from human exposure to resistant bacteria from other sources, such as from animals or food, play an important role [Reference Andreoletti35]. In Canada, in 2017, ~77% of the antimicrobials distributed or sold for use in people, animals and crops were intended for use in production animals (including poultry) [6]. However, quantification of the association between AMR arising through the food chain on adverse human health impacts has proven to be challenging and has been the subject of debate for decades. This is due in part to the complexity of multiple foodborne AMR transmission pathways, the exchange of resistance determinants between bacterial species and the lack of standardised methods to conduct an evaluation of the risk.

To partly address the lack of a standardised approach, the Codex Alimentarius Commission adopted the ‘Guidelines for Risk Analysis of Foodborne Antimicrobial Resistance’ [7] (herein denoted the ‘Codex Guidelines’). One of the first steps in these guidelines is to complete a risk profile, which is intended to provide the current state of knowledge regarding a food safety issue and describe possible risk management options [7]. Based on the findings of a risk profile, subsequent steps in risk analysis are either to make an immediate (and/or provisional) decision for risk management, launch a full qualitative or quantitative risk assessment, maintain status quo or gather more data before making a preliminary decision [7].

Throughout this article, the definitions for the AMR food safety issue and AMR hazard of concern from the Codex Guidelines have been applied [7]; note that these definitions can be different from the common or colloquial usage of these terms. ‘Issues’ and ‘hazards’ in Codex do not equate to ‘risk’, unless determined to be so according to the findings of the risk profile or risk assessment.

For this risk profile, the AMR food safety issue under evaluation was ceftiofur-resistant Salmonella enterica subsp. enterica serovar Heidelberg (S. Heidelberg) arising from poultry, as identified by the Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS). Our attention was on this particular AMR food safety issue for several reasons. First, ceftiofur is a 3rd generation cephalosporin (3GC), a class of antimicrobials considered critically important to human medicine [8, 9]. Although ceftiofur is only registered for veterinary use, the 3GCs used in human medicine are related, such as ceftriaxone. Resistance to one advanced cephalosporin is closely associated with resistance to another and resistance to ceftiofur confers (almost 100%) resistance to ceftriaxone [Reference Li10]. Second, the bacterial strain under evaluation was S. Heidelberg, because it is a serovar that tends to cause more severe illness than other Salmonella serovars [Reference Clothier and Byrne11]. S. Heidelberg affects vulnerable segments of the human population, including pregnant women and children, for whom the 3GCs are one of the limited antimicrobials available for treatment [Reference Shane12]. Finally, the food commodity under evaluation was poultry as it is a meat source commonly consumed by Canadians and is a source of S. Heidelberg [13]. To date, there have been interventions to address this AMR food safety issue, but describing the issue using formal risk assessment methodology and evaluating whether additional measures should be taken from a risk perspective, had yet to be conducted.

The major objective of this article was to describe and contextualise the AMR food safety issue of ceftiofur/ceftriaxone-resistant S. Heidelberg (CSH) from consumption of poultry in Canada, using the risk profile format of the Codex Guidelines [7]. The second objective was to use this AMR food safety issue to critically evaluate the Codex Guidelines in terms of their applicability for constructing a risk profile.

Materials and methods

Data sources included published surveillance data from CIPARS, peer-reviewed literature, grey literature, expert opinion and demographic information as published by Statistics Canada or Agriculture and Agri-Food Canada. The data were collated and reported according to the headings in the Codex Guidelines' Appendix 1: Elements for Consideration in a Foodborne Antimicrobial Resistance Risk Profile [7]. Unless stated otherwise, all information pertains to Canadian data and the Canadian context. Information from international sources was included when Canadian data were lacking.

Where appropriate, and for summarising the results for uptake by policy makers, the data for each major section of the risk profile were categorised into levels of concern in reference to other antimicrobials, other foodborne antimicrobial-resistant pathogens and other food animal species, with scores of 1, 2 and 3 (1 = lowest concern; 3 = highest concern). There are no current standards, national, international, or otherwise, for these levels of concern; however, these qualitative indicators are defined as transparently as possible for each section in this article. Additionally, a measurement of data quality/relevance was provided for each section of the risk profile using the following criteria and scoring: (1) applicability of the data within a Canadian context based on the location of information collection (Canada = 3, United States = 2, other country = 1 and data gap = 0); (2) type of information (active surveillance = 5, passive surveillance = 4, large scale peer reviewed publication = 3, small scale peer reviewed publication = 2, empirical information = 1 and data gap = 0) and (3) year of data collection (⩾2015 = 4, 2010–2014 = 3, 2006–2009 = 2, <2006 = 1 and data gap = 0). Scores were summed to provide an overall measure of data quality. Higher summed scores indicated higher quality data and better applicability to the current evaluation of risk. The scoring for the level of concern and data quality/relevance was completed by two of our research team members.

Where appropriate and informative or when S. Heidelberg specific data were lacking, data for other Salmonella serovars and generic Escherichia coli were included. Salmonella spp. and E. coli are close relatives in the same family of Enterobacteriaceae, often sharing similar mechanisms of resistance. Shared plasmids may include those that impart resistance to β-lactams including cephalosporins [Reference Li10, Reference Rozwandowicz14]. Generic E. coli is considered a valuable indicator for measuring the pool of resistance elements available for exchange with other bacterial species.

Results (headings as per the Codex Guidelines)

Description of the AMR food safety issue

According to the Codex Guidelines, an AMR food safety issue is the defined combination of three components: the resistance hazard of concern (i.e. the resistant microorganism(s) and/or determinant(s) of resistance), the antimicrobial agent to which resistance is expressed and the food commodity in which the hazard is identified [7]. For this risk profile, the AMR food safety issue was 3GC-resistant S. Heidelberg arising from poultry. In addition to the rationale provided in the Introduction, further reasons for selecting this combination are as follows. The rationale for selecting resistance to 3GCs, is that this is considered as one of the ‘fastest emerging resistance problems worldwide’ [Reference Agersø15]. Part of the rationale for selecting Salmonella was that the most recent data from the Canadian National Enteric Disease Surveillance Program indicated that in 2016, Salmonella was the most common enteric pathogen submitted to this program, with an incidence rate of 21 laboratory-confirmed cases per 100 000 people [16]. Between 2000 and 2010, ~88 000 cases of domestically acquired, foodborne non-typhoidal Salmonella (NTS) occurred annually in Canada, leading to ~925 hospitalisations (8% of all hospitalisations due to foodborne illness) and 17 deaths (7% of all deaths due to foodborne illness) [Reference Thomas17, Reference Thomas18]. In comparison to all drug-resistant bacterial infections, drug-resistant NTS are one of the priority organisms identified for surveillance by the World Health Organisation [19] and are considered a ‘Serious Threat’ by the US Centres for Disease Prevention and Control (CDC) [2]. A Canadian AMR threat assessment ranked drug-resistant Salmonella as a Tier 3 pathogen (of four Tiers with Tier 1 being the most critically important) [Reference Garner20]. For the selection of the particular serovar, from 2014–2016 S. Heidelberg was the third most common Salmonella serovar isolated from Canadians who were sick and had a sample submitted for laboratory testing [16]. S. Heidelberg is a relatively more prevalent serovar in North America and Africa compared to other areas of the world [16, 21, 22, 23] (Supplementary Table S1). It is also not a new serovar and has been identified as early as 1962 in poultry and poultry products in Brazil [Reference Borsoi24].

Further rationale for choosing poultry as the food animal commodity of concern is that poultry is consumed in Canada more so than beef or pork [25, 26]; of the food animal commodities sampled by CIPARS, poultry was the predominant sector from which S. Heidelberg was isolated (Fig. 1) [13, 27, 28]. The prevalence of ceftiofur resistance was higher in Salmonella and in S. Heidelberg isolates from healthy poultry/poultry meat than from the other healthy food animals/meat sampled by CIPARS (Fig. 1) [13, 2739]. Ceftiofur resistance in Salmonella has been detected in clinical isolates from sick cattle and sick horses; sick animals are unlikely to enter the food chain. Salmonella is rarely detected in retail pork and beef in Canada.

Fig. 1. Percentages of isolates recovered and percentages of Salmonella spp. and S. Heidelberg isolates resistant to ceftiofur/ceftriaxone, by food animal species.

Summary level of concern and data quality

To summarise the information of this section, the antimicrobial is in a class of critical importance to human medicine, S. Heidelberg is of concern to human health, and frequently consumed poultry is the food animal sector where the 3GC resistance and the serovar were predominantly found. The level of concern is considered three and the data quality score is 12 (Canadian data = 3, active surveillance = 5, ⩾2015 = 4).

Information on the antimicrobial resistant organism and/or AMR determinant

Characteristics of the identified foodborne microorganism

Sources and transmission routes

This risk profile focussed on foodborne transmission; 80% of NTS cases in Canada are estimated to be foodborne [Reference Thomas17, Reference Majowicz40]. Non-foodborne transmission of S. Heidelberg, though rare, has been documented, such as transmission by direct human-to-human contact, nosocomial transmission and possibly via direct contact between animals and humans [Reference Lyons41, Reference Bank42]. S. Heidelberg has also been transmitted via cross-contamination of food products in the kitchen (e.g. contamination of tomato salad prepared on the same table as raw chicken) [Reference O'Mahony43].

In addition to the CIPARS data (Fig. 1) indicating poultry being the primary reservoir of S. Heidelberg of the sampled food/animals, in a Canadian case-control study, 34% of all human S. Heidelberg infections were attributable to eating chicken strips or nuggets and 16% were attributable to consuming eggs [Reference Currie44]. Within poultry, S. Heidelberg has been isolated from meat and faeces [27], crops of birds, reproductive tracts of hens (ovaries and oviducts), eggs and eggshells [Reference Chambers45Reference Gast50].

Pathogenicity, virulence and linkage to resistance of particular strains

Pathogenicity refers to the ability of an organism to cause disease and virulence to the severity of that disease [Reference Dorland William51]. The available data did not clearly differentiate between pathogenicity and virulence; as such, the Codex Guidelines subheadings for pathogenicity and virulence were combined. Although not requested in the Codex Guidelines, information regarding pathogenicity and virulence of CSH both in the animal species of interest (poultry) and in humans, was provided.

In poultry, S. Heidelberg displays variable pathogenicity and virulence. It can cause diseases such as peritonitis, hepatitis, pericarditis, pneumonia and enteritis, with mortality rates of up to 13% [Reference Roy52]. A study of broiler chicks in Brazil demonstrated damage to intestinal mucosa similar to that caused by Salmonella enterica subsp. enterica serovar Enteritidis, indicating that S. Heidelberg could have importance as a pathogen in young chicks [Reference Borsoi24].

While asymptomatic human cases have occurred [Reference Lintz53, Reference Rice, Craven and Wells54], S. Heidelberg is generally considered pathogenic to humans. S. Heidelberg has been described as being ‘disproportionately associated with invasive infections and mortality in humans’ [Reference Han55]. Infections may result in mild to moderate illness, but S. Heidelberg can also cause severe illness, with complications such as septicaemia and myocarditis [Reference Hoffmann56]. In Canada, in 2016, a larger proportion of S. Heidelberg from 2405 NTS isolates was obtained than the other NTS serovars in human blood and urine (sources that signify invasive infections), with 17% and 6% of 315 S. Heidelberg isolates, respectively, from blood and urine [13].

At the molecular level, virulence genes, located on chromosomes and plasmids, including those contained in Salmonella pathogenicity islands (on chromosomes), have been identified in Salmonella, such as S. Heidelberg [Reference Han55Reference Suez57]. These genes encode factors to facilitate endothelial uptake, as well as regulatory and effector virulence factors for adhesion, invasion and toxin production [Reference Edirmanasinghe58]. For example, in addition to the presence of multidrug resistance plasmids, S. Heidelberg isolates, including those from ground turkey-associated outbreak in the USA, were found to carry a variety of phages (such as prophages P22, Gifsy-2, P4 and P2-like), virulence genes including 62 pathogenicity and 13 fimbrial markers and/or IncX plasmids [Reference Hoffmann56]. The virulence factors can contribute to Salmonella colonisation and persistence [Reference Hoffmann56, Reference Antunes59]. Moreover, the co-presence of AMR and virulence genes has been demonstrated in S. Heidelberg isolated from broiler chickens [Reference Edirmanasinghe58]. The IncA/C plasmids, found in S. Heidelberg, have been found to encode up to eight resistance genes, including those imparting ceftriaxone resistance [Reference Hoffmann56]. The simultaneous presence of multiple plasmids, including IncA/C, IncFIB and IncX (VirD4/B4), that contain resistance genes and/or virulence genes have been observed in S. Heidelberg of porcine and turkey origin in the USA [Reference Han55, Reference Hoffmann56].

Distribution, frequency and concentrations of the AMR hazard(s) in the food chain

In Canada, S. Heidelberg has consistently been one of the top three serovars isolated from chicken at retail, at slaughter and from clinical isolates from chickens [13, 39]. Although the serovar types isolated from retail turkey vary considerably from year to year, S. Heidelberg and S. Enteritidis were consistently the top two serovars [13, 27, 28, 38, 39].

Based on CIPARS data, there has been a decline in the overall recovery of Salmonella from retail chicken. The average percentage of isolates recovered compared to the samples taken (percent recovery), across participating provinces, peaked in 2009 at 43% and decreased to 28% in 2016 [13]. The percent recovery of Salmonella and S. Heidelberg at different sampling points in the food chain also varies. For example, the percent recovery of Salmonella from chicken(s) (number of Salmonella isolates/total number of samples) for 2016 varied from 46% at the farm, to 14% at slaughter and to 28% at retail [13]. The corresponding percent recovery of S. Heidelberg (number of S. Heidelberg isolates/total number of Salmonella isolates) was 1% at farm, 5% at slaughter and 3% at retail [13]. It is unknown why there was a decrease in the recovery rate for Salmonella from the farm to slaughter and then an increase from slaughter to retail, or why this trend is the opposite for S. Heidelberg. For 2016, the percentage of S. Heidelberg resistant to ceftiofur/ceftriaxone was 4% at farm, 18% at slaughter and 12% at retail [13]. These data suggest a potential amplification of S. Heidelberg, and a potential amplification of resistance in S. Heidelberg, between farm and retail. Statistical significance testing of these point prevalence differences would be useful.

While Canadian data on the frequency of occurrence of S. Heidelberg and frequency of resistance to ceftiofur are available, the concentration of S. Heidelberg (number of colony forming units/gram of sampled material) at various stages throughout the food chain represents a large data gap; this information would be required for quantitative modelling of the hazard.

Supplementary Table S2 presents the temporal trends in the frequency of ceftiofur resistance among the most common serovars isolated from sampled retail poultry and people in Canada. The frequency of ceftiofur/ceftriaxone resistance among S. Heidelberg isolates from retail chicken over time has varied, from 41% in 2003, to 14% in 2006 and peaking at 58% in 2014. On average, from 2012 to 2015, 29% of S. Heidelberg isolated from retail turkey meat was resistant to ceftiofur. Ceftiofur/ceftriaxone resistance among S. Heidelberg isolates from retail poultry and from human clinical cases follow similar trends, as is illustrated in Figure 2. The average number of S. Heidelberg isolates identified was 71 from retail chicken (2003–2016), 29 from retail turkey (2011–2016) and 417 from human clinical cases (2003–2016); hence, more statistical power exists to detect temporal changes in ceftiofur/ceftriaxone resistance among CSH isolates of human origin. A decrease in 2005 of ceftiofur resistance and a subsequent increase reflects changes in ceftiofur use practices in Canadian hatcheries (more details are included in ‘Effectiveness of current management practices in place based on surveillance data or other sources of information’).

Fig. 2. Percentage of ceftiofur/ceftriaxone-resistant Salmonella Heidelberg from retail poultry and humans, and ceftiofur use in chicken flocks.

As shown in Supplementary Table S2, Salmonella enterica subsp. enterica serovar Kentucky from poultry is frequently resistant to ceftiofur. However, S. Kentucky is rarely isolated from Canadians; from 2011 to 2015, 62 isolates were submitted for susceptibility testing, with many thought to be travel related. Of the human S. Kentucky isolates, only five were resistant to β-lactams. A Canadian study has reported high-sequence identity (95–99%) of bla CMY−2 containing IncI1 plasmids from S. Heidelberg isolates of Canadian human and poultry sources in comparison with the IncI1 plasmid of an S. Kentucky from chicken product in the USA, suggesting a common reservoir and intra-species dissemination for ceftiofur/ceftriaxone resistance determinants in Salmonella spp. [Reference Edirmanasinghe58].

The regional frequency of CSH varies from year to year. In 2013, the frequency of ceftiofur/ceftriaxone resistance among S. Heidelberg from retail chicken ranged from 26% to 80% across the provinces participating in CIPARS (British Columbia > Québec > Maritime Provinces (New Brunswick, Nova Scotia and Prince Edward Island) > Saskatchewan > Ontario) [39]. In 2016, the percentage of isolates resistant to ceftiofur ranged from 0% (British Columbia and Ontario) to 15% in Québec. The reason for this regional variation is unclear, however from an analysis perspective, there are often very small numbers of S. Heidelberg isolated each year in some provinces [13, 39].

Growth and survivability, including inactivation in foods (D-value, minimum pH for growth) of the foodborne antimicrobial-resistant microorganism(s) in the food commodity production-to-consumption continuum

Inactivation factors such as the D-value (i.e. the time for a one log reduction in Salmonella numbers from an initial set concentration in log/mL) and minimum pH for growth are necessary to describe the growth and survivability of pathogens throughout the production-to-consumption continuum. Therefore, two original Codex subheadings (i.e. Growth and survivability of foodborne antimicrobial resistant microorganism(s) in the food commodity production to consumption continuum and Inactivation in foods (e.g. D-value and minimum pH for growth)) were combined.

Selection for resistant serovars takes place during the pre-harvest stage, due to antimicrobial use (AMU) and other farming practices. However, there are various points along the production-to-consumption continuum, both pre- and post-harvest, where practices can have an impact on the colonisation, prevalence and growth of Salmonella (i.e. pathogen load). Specific risk factors are discussed in ‘Description of the food production to consumption continuum (e.g. primary production, processing, storage, handling, distribution and consumption) and the risk factors that affect the microbiological safety of the food product of concern’ and risk mitigation options are elaborated upon in ‘Risk Management Information’. Thus far, studies have been unable to demonstrate that AMR, including ceftiofur/ceftriaxone resistance, changes Salmonella's ability to survive various slaughter and food preparation practices. For example, AMR did not have an effect on Salmonella's ability to withstand chlorination in chilled water during processing at an abattoir, or its ability to withstand heat during food preparation [Reference Stopforth60]. At a concentration of 30 ppm residual chlorine (with a pH of 6 and at 4 °C), resistance had no effect on the survival of Salmonella enterica subsp. enterica serovar Typhimurium (assuming that S. Heidelberg would behave similarly) in an artificial medium, as measured by changes in D-values [Reference Oscar, Tasmin and Parveen61]. The D-values ranged from 3.8–4.3 min, and did not differ between control and test groups [Reference Oscar, Tasmin and Parveen61]. This is consistent with D-values reported for S. Typhimurium in situ, of 3.4 and 5.8 min (30 ppm residual chlorine in chilled water) following 0 and 8 h of processing respectively [Reference Yang, Li and Johnson62].

Characteristics of the resistance expressed by the antimicrobial resistant microorganism(s) and/or AMR determinant(s)

Resistance mechanisms and location of the AMR determinants

Cephalosporin resistance is attributable to multiple mechanisms including inaccessibility of the drug to its targets (due to reduced membrane permeability and drug efflux), target alterations in penicillin-binding proteins and drug inactivation by β-lactamases. To date, β-lactamases have been considered the most frequent and important mechanism of cephalosporin resistance in Gram-negative bacteria [Reference Li10, Reference Bush63]. However, recent work has demonstrated that repurposed metabolic enzymes can decrease the susceptibility of S. Enteritidis to ceftiofur, independent of genetically driven β-lactamase activity [Reference Radford64].

When resistance to 3GC is due to β-lactamases, it is due to class C AmpC β-lactamases (e.g. CMY-2 – a cephalomycinase encoded by the bla CMY gene), class A extended-spectrum β-lactamases (ESBLs, such as certain TEM, SHV and CTX-M) or class A, B or D carbapenem-hydrolysing β-lactamases (carbapenemases) [Reference Li10, Reference Bush63]. Genes encoding these enzymes are generally located on plasmids. However, the integration of plasmidborne bla CMY gene into the chromosome of S. Heidelberg has been observed [Reference Edirmanasinghe58].

In isolates of animal origin, CMY enzymes are frequent globally, while ESBLs are emerging. In Canada, the analysis of animal and human NTS isolates from 2010 and 2011 found bla CTX−M genes in five (0.7%) isolates from turkeys, and in two (0.1%) isolates from humans. Among CMY enzymes, CMY-2 is the most frequently identified variant in Salmonella (including S. Heidelberg) [Reference Folster65Reference Smet68]. Genetically similar CMY-2 plasmids in Salmonella (of human origin) and E. coli (of human, animal and environmental origin) are distributed widely across Canada [Reference Mataseje69]. Another Canadian study supports these findings, but also identified CMY-2 plasmids primarily isolated from poultry [Reference Martin70].

Cross-resistance and/or co-resistance to other antimicrobial agents

Cephalosporin use, specifically ceftiofur, the only 3GC available for food animals, is considered to be a major driver of selection and development of 3GC resistance in food animals [Reference Seiffert67, Reference Daniels71Reference Liebana74]. Particularly in Canada, the majority of CSH poultry isolates displayed cross-resistance to other β-lactams, but little phenotypic co-resistance to antimicrobials in other classes (Supplementary Table S3). Between 2003 and 2016, for isolates from chicken, only nine (3%) CSH were identified as resistant to three or more antimicrobial classes, with eight of these identified prior to 2012. Six CSH (67%) were resistant to three antimicrobial classes: three were resistant to β-lactams, aminoglycosides and sulfonamides; two were resistant to β-lactams, aminoglycosides and tetracyclines and one was resistant to β-lactams, sulfonamides and chloramphenicol. One isolate was resistant to four classes (β-lactams, aminoglycosides, tetracyclines and sulfonamides) and one isolate to five classes (β-lactams, aminoglycosides, tetracyclines, sulfonamides and chloramphenicol). Turkey retail surveillance identified five CSH (9%) with resistance to three or more classes of antimicrobials, one from 2011, three from 2012 and one from 2013. Four of these CSH were resistant to four antimicrobial classes (β-lactams, aminoglycosides, tetracyclines and sulfonamides). The remaining isolate demonstrated the same resistance pattern, except for sulfonamides.

A Canadian study assessed the presence of plasmids among Salmonella (including S. Heidelberg) and E. coli of poultry, bovine and swine origin [Reference Martin70]. Plasmids encoding only resistance to β-lactams, including ceftiofur (with no co-resistance to chloramphenicol, gentamicin, kanamycin, trimethoprim-sulfamethoxazole and tetracycline), were found primarily in poultry products, suggesting selection pressure of β-lactam use in poultry on bacterial resistance [Reference Martin70]. Genetic analysis of S. Heidelberg broiler chicken isolates in Canada has identified a chromosomal gene conferring fosfomycin resistance [Reference Rehman75].

Transferability of resistance determinants between microorganisms

Transferable resistance determinants mediating β-lactamase production and fluoroquinolone resistance have been observed in human and animal Salmonella isolates [Reference Du76, Reference Perez-Moreno77], and Salmonella genomic islands have been identified as mobile genetic elements containing integrons and clusters of resistance and/or virulence genes [Reference Doublet78Reference Moreno Switt80]. Among S. Heidelberg, dissemination of AMR determinants is likely due to plasmid-mediated conjugative transfer and by transposons [Reference Deblais81]. Both S. Heidelberg and S. Kentucky possess a propensity to acquire and disseminate multiple plasmids encoding for multidrug resistance [Reference Foley82]. Whole genome sequencing (WGS) of S. Heidelberg from both human and poultry sources in Canada demonstrated a close relationship between bla CMY−2 containing plasmids, suggesting horizontal plasmid dissemination, rather than just clonal spread of a particular S. Heidelberg strain [Reference Edirmanasinghe58]. The most frequently-isolated bla CMY−2 carrying plasmids of S. Heidelberg isolates include IncI1 (e.g. subtyping ST12 and ST25) and IncA/C (ST2), which have likely contributed to the widespread distribution of CSH and other 3GC-resistant NTS serovars from human and animal sources [Reference Edirmanasinghe58, Reference Liakopoulos83Reference Campos85].

Transduction-mediated transfer of resistance genes (including the CMY-2 gene) from S. Heidelberg to S. Typhimurium has been demonstrated [Reference Zhang and LeJeune86]. A recent US study found that bacteriophage-mediated AMR gene transfer among S. Heidelberg might occur more readily on turkey farms than on chicken farms [Reference Deblais81]. Another study's findings suggest that S. Heidelberg may acquire fitness enhancing ColE1 plasmids (associated with decreased susceptibility to aminoglycosides and fosfomycin) through poultry litter, although the bacterial plasmid donors have yet to be identified [Reference Oladeinde87].

Conjugative transfer of CMY-2-encoding plasmids from E. coli to Salmonella was demonstrated using turkey poults (under laboratory conditions) [Reference Poppe88], between animal-associated Salmonella and E. coli, in addition to findings that suggest transmission of a CMY-2 plasmid from food animals to humans [Reference Winokur89].

Summary level of concern and data quality

This section contains many different data elements, which proves challenging to come up with a summary measure of the level of concern and data quality. The level of concern was estimated at three, as S. Heidelberg is associated with higher morbidity in humans than other serovars, is predominantly transmitted through food sources, resistance determinants have been linked with virulence determinants, it possesses genetically transferable resistance (i.e. predominantly plasmid-mediated) and genetically similar isolates have been found in chicken and in people. One moderating factor is that ceftiofur resistance is not frequently expressed with resistance to other classes of antimicrobials in the Canadian isolates tested. The available data are Canadian, recent, and from active surveillance, resulting in an overall data quality for this section of 12.

Information on the antimicrobial agent(s) to which resistance is expressed

Class of the antimicrobial agent(s)

Cephalosporins are β-lactam antimicrobials, and are bactericidal via inhibition of bacterial cell wall synthesis. They are divided into five generations based on their spectrum of activity, including β-lactamase stability and pharmacological properties; generally, each generation has advantages over the previous generation(s). The 3GCs have increased activity against Gram-negative bacteria, such as Enterobacteriaceae, but decreased activity against Gram-positive bacteria [Reference Prescott, Giguere, Prescott and Dowling90].

Non-human uses of the antimicrobial agent(s)

Ceftiofur was developed strictly for veterinary use and, since the early 1990s, has been the only 3GC authorised for use in specific livestock in Canada. Ceftiofur has never been approved for use in chickens in Canada; any use in chickens is considered extra-label use (ELU). An earlier authorised indication for ceftiofur use in day-old turkey poults was withdrawn in 2012.

Formulation of the antimicrobial agent(s)

Three salt formulations of ceftiofur (ceftiofur sodium, ceftiofur hydrochloride and ceftiofur crystalline free acid) are available in Canada for parenteral administration. Depending on animal species or indication, ceftiofur can be administered intra-muscularly, subcutaneously or intra-mammary [91].

Distribution, cost and availability of the antimicrobial agent

Ceftiofur is only available by veterinary prescription in Canada and costs are borne by producers.

In broiler poultry, 1 mL of ceftiofur sodium at 50 mg/ml could be enough for 250–625 chicks (0.08–0.20 mg/chick), at an approximate cost of less than one Canadian cent per chick/egg.

Purpose and use of the antimicrobial agent(s) in feed, food animals, crop production and/or during food processing AND Potential extra-label/off label, use of approved antimicrobial agent(s) and use of non-approved antimicrobial agent(s)

Two of the Codex subheadings were combined to eliminate duplication of information.

Ceftiofur is licensed in Canada for the treatment of bacterial respiratory disease (bovine, porcine, equine and ovine), bovine acute interdigital necrobacillosis, post-partum metritis, mastitis and treatment of urinary tract infections in dogs [91]. Ceftiofur is not available for use in feed, water, crop production or during food processing.

In Canada, ceftiofur has been used in an extra-label manner in poultry to prevent or control diseases such as omphalitis and yolk sac infections, caused by avian pathogenic E. coli (APEC) and other Enterobacteriaceae [Reference Hofacre, Fricke, Inglis, Giguere, Prescott and Dowling92]. APEC-associated neonatal diseases are the most frequently diagnosed and economically important diseases of broilers and turkeys in Canada. Ceftiofur administration establishes sufficient circulating metabolites in the blood and yolk sac of chicks prior to their exposure to bacterial pathogens in the barn [Reference Tell93].

Methods, routes of administration of the antimicrobial agent(s) (individual/mass medication, local/systemic application) and frequency

Detecting and treating individual sick birds is not cost-effective in a commercial hatchery setting, and mass medication in-ovo, or to day old chicks, has been perceived as a practical approach to preventing disease [Reference Hofacre, Fricke, Inglis, Giguere, Prescott and Dowling92]. In poultry, ceftiofur has been administered in-ovo, though subcutaneous injections to day-old chicks could also have occurred. Ceftiofur has been combined with hatchery vaccines (i.e. vaccination for Marek's Disease), which is typically administered at approximately day 18 of incubation [Reference Kinney and Robles94]. Ceftiofur could be administered to elite breeding stocks to prevent or treat APEC, or other susceptible pathogens, which may potentiate vertical transmission of resistant strains [Reference Pohjanvirta, Kaukonen, Ikonen, Vahanikkila and Pelkonen95].

Potential role of cross-resistance or co-resistance with use of other antimicrobial agent(s) in food production

Based on CIPARS data from sentinel broiler chicken farms, the only other β-lactam antimicrobial used is penicillin [28]. As Salmonella spp. and E. coli are intrinsically resistant to penicillin, penicillin use is not expected to contribute to ceftiofur cross-resistance.

From 2014–2016 in Canada, CSH isolates of chicken origin were infrequently co-resistant to streptomycin and/or tetracycline. During this period, streptomycin use was not reported and only 1% of broiler flocks sampled reported tetracycline use [13, 27, 28]. Given the infrequency of use, it is unlikely that these drugs are driving factors in the development of resistance to ceftiofur.

Trends in the use of the antimicrobial agent(s) in the agricultural and aquaculture sectors and information on emerging resistance in the food supply

The information in this section was limited to ceftiofur use trends in poultry, and related resistance information. Comprehensive information on emerging resistance was better situated in ‘Risk Management Information’.

A study of Québec hatcheries between May 2003 and February 2004, reported that ceftiofur was used on 76% of the surveyed hatcheries [Reference Boulianne, Dutil and Daignault96]. In 2003, CIPARS reported the percentage of S. Heidelberg from retail chicken resistant to ceftiofur/ceftriaxone at 65% and 16% in Québec and Ontario, respectively [Reference Dutil97]. These data led to a voluntary cessation of ceftiofur use in hatcheries in Québec. Subsequently, the frequency of CSH from retail chicken in Québec decreased to 7% in 2006 [Reference Dutil97]. However, ceftiofur use resumed in 2007, with consequent increases of resistance (Fig. 2).

CIPARS surveillance of sentinel broiler chicken farms commenced in 2013, with 31% of the associated hatcheries reporting ceftiofur use [39]. CIPARS surveillance of sentinel turkey farms also commenced in 2013, expanding from one to three provinces from 2013 to 2016. In 2013, 3% of the 29 turkey flocks reported ceftiofur use [13]. During 2013–2014 ceftiofur resistance among S. Heidelberg increased to 58% in retail chicken and 29% in retail turkey [27, 39].

In May 2014, the Canadian poultry industry banned the preventive use of Category I antimicrobials, including ceftiofur, in commercial meat birds (chicken and turkey), and for layers and breeders [98, 99]. Since 2014, ceftiofur has not been reported to be used by turkey producers, and since 2015 there has been no reported ceftiofur use by chicken producers [13, 28]. Information on AMU practices in broiler breeders is currently a data gap; CIPARS has a research project underway to address this data gap.

At the national manufacturer/distributor level, the quantities of antimicrobials reported to CIPARS by the Canadian Animal Health Institute are not stratified by type of cephalosporin, nor are they historically separated by animal species. Consequently, temporal trends are not specific to ceftiofur or to use in poultry. The quantities of cephalosporins distributed since 2014 have remained relatively stable [13].

Information on the relationship between the use of the antimicrobial agent(s) and the occurrence of resistant microorganisms or resistance determinants in the food commodity of concern

Figure 2 demonstrates how the frequency of ceftiofur resistance in S. Heidelberg from various sources followed changes in ceftiofur use practices.

Human uses of the antimicrobial agent(s)

Spectrum of activity and indications of treatment

3GCs, such as ceftriaxone, cefixime, cefotaxime and ceftazidime, are authorised for humans in Canada. They are mostly administered parenterally, although some are available in formulations for oral administration.

No single 3GC is ideal for every indication, due to differences in activity and pharmacokinetic features, but they are indicated for a wide range of bacterial infections involving the respiratory tract, urinary tract, skin and soft tissues, intra-abdominal organs and the central nervous system [Reference Klein and Cunha100].

According to the World Health Organization's list of essential medicines, cefixime is a second line treatment choice for acute invasive bacterial diarrhoea/dysentery, as well as for infections caused by Neisseria gonorrhoeae, whereas ceftazidime should only be used for World Health Organization designated priority diseases needing specialised management [101]. Cefotaxime and ceftriaxone are both considered first line treatments for acute bacterial meningitis, severe community acquired pneumonia, complicated intra-abdominal infections, nosocomial pneumonia and severe prostatitis or pyelonephritis, as well as second line treatment choices for bone and joint infections, mild to moderate prostatitis or pyelonephritis and sepsis in paediatric patients [101]. In addition, ceftriaxone is considered first line treatment for N. gonorrhoeae and second line treatment for acute invasive bacterial diarrhoea/dysentery [101]. These indications are similar to what ceftriaxone is licensed for in Canada [102].

In North America, empirical treatment for Salmonella, when indicated and whilst waiting for susceptibility testing, includes the 3GCs, fluoroquinolones and macrolides [Reference Shane12, Reference Klochko and Wallace103]. It is recommended that treatment for life-threatening infections should include both a quinolone and a 3GC, until susceptibilities are known and focused treatment can be initiated [Reference Klochko and Wallace103]. In children and pregnant women, treatment with quinolones is relatively contra-indicated, limiting treatment options to 3GC [Reference Shane12]. Ceftriaxone is the treatment of choice for Salmonella infection of the meninges, the central nervous system or infective endocarditis, due to its ability to penetrate the blood–brain barrier and cardiac vegetations and devitalised tissue [Reference Hohmann and Acheson104].

Importance of the antimicrobial agents including consideration of critically important antimicrobial lists

See information in ‘Description of the AMR food safety issue’. Additionally, in 2017, the World Health Organization revised its Essential Medicine list, adding three new categories for antimicrobials: Access, Watch and Reserve [101]. The 3GCs (cefixime, ceftriaxone, cefotaxime and ceftazidime) are in the ‘Watch’ category due to their higher resistance potential, and are only to be utilised for very specific indications [101].

Distribution, cost and availability

All costs are indicated in Canadian dollars per 1000 inhabitant-years ($/1000 inh-years) and rates of AMU are expressed as the number of defined daily doses per 1000 inhabitant-years (DDDs/1000 inh-years).

In Canada, public funding of antimicrobials is regulated at the provincial level. All provinces fully fund cephalosporins used in hospitals for in-patient treatment, however, funding differs between provinces when antimicrobials are dispensed by community pharmacies for outpatient treatment. For example, cefixime is funded without restrictions by Ontario and Alberta when dispensed by community pharmacies [105, 106], but British Columbia, Manitoba and Saskatchewan only fund it when appropriate additional information is provided [107109]. All provinces had similar costs per unit of cefixime in liquid ($0.43–$0.47/ml) and tablet ($2.72–$3.40/tablet) formats, as well as for parenteral ceftriaxone ($12.5–13.5/g active ingredient) [105109].

Hospital and community pharmacy expenditure associated with 3GC purchasing and dispensing in Canada has varied from year to year [110], and does not necessarily reflect use trends, as the drivers that influence cost do not necessarily influence use.

In 2010, hospital purchases accounted for 73% of all ceftriaxone expenditure; by 2016 this proportion has dropped to 57%, indicating that the costs associated with ceftriaxone purchasing and dispensing have shifted towards dispensing in communities [110]. The reason for this shift is unclear.

Availability of alternative antimicrobial agents

Alternatives for 3GCs are available in North America. Alternative treatment choices are directed by the site of infection, causative bacteria, susceptibility testing, patient hypersensitivity and severity of infection. The Infectious Diseases Society of America recommends ciprofloxacin, trimethoprim-sulfamethoxazole or amoxicillin (when antimicrobial treatment is indicated) as treatment alternatives for gastroenteritis caused by NTS [Reference Shane12]. Other alternatives, especially for extra-intestinal infections, include monobactams (aztreonam) and carbapenems [Reference Shane12], both of which are considered critically important for human medicine [8]. Carbapenems may be the last drug of choice for invasive Salmonella infections that are resistant to ciprofloxacin and ceftriaxone [Reference Chen111].

Trends in the use of antimicrobial agent(s) in humans and information on emerging diseases due to microorganism(s) resistant to the antimicrobial agent(s) or classes

In Canada, human antimicrobial consumption data is compiled by IQVIA which provides community pharmacy dispensing and hospital purchasing data [112]. The trends in consumption of 3GC dispensed by community pharmacies and purchased by hospitals, expressed as DDDs/1000 inh-years, from 2010 to 2016, are presented in Figure 3. For comparison, data for cefepime, a 4th generation cephalosporin, are also included. The annual rate of consumption of 3rd and 4th generation cephalosporins in Canada has increased by 41% from 2010 to 2016 [110]. Between 2010 and 2016, ceftriaxone consumption increased by 113%, from 23 to 49 DDDs/1000 inh-years [110].

Fig. 3. Human consumption of 3rd and 4th generation cephalosporins, from 2010 to 2016, in Canada.

In 2016, 3rd and 4th generation cephalosporins were, like the previous 6 years, the class of antimicrobials most purchased by Canadian hospitals, at a rate of 138 DDDs/1000 inh-years [112]. This is 73% more than the second most purchased class of antimicrobial, fluoroquinolones. [112]. Ceftriaxone was the most purchased cephalosporin, and the 5th most purchased antimicrobial overall, at 40 DDDs/1000 inh-years, across all Canadian hospitals [112]. No newly emerging diseases due to CSH have been identified.

Summary level of concern and data quality

The level of concern in this section is considered a three; as ceftiofur use in poultry has been observed to temporally mirror trends in ceftiofur resistance in poultry, and the high and increasing levels of ceftriaxone use in humans are indicative of this drug's importance in human medicine in Canada. The data quality for ‘Information on the antimicrobial agent(s) to which resistance is expressed’ is 11, as recent Canadian information from active surveillance is available to describe the AMU of the antimicrobials of interest in both animals and humans. There is, however, a data gap with respect to ceftiofur use in breeder flocks.

Information on the food commodity(ies)

Sources (domestic and imported), production volume, distribution and per capita consumption of foods or raw material identified with the AMR hazard(s) of concern

Poultry production in Canada is a large and economically important industry. In 2016, there were 2817 chicken and 551 turkey producers, which produced 1.2 billion kg of chicken and 183 million kg of turkey meat [113, 114]. The national chicken production volume has almost doubled in the past two decades [113].

In 2016, Canada imported a total of 164.6 million kg of chicken meat and chicken meat products (mostly from the USA and Brazil) and 7.8 million kg of turkey meat and turkey meat products [114, 115]. During the same year, 123 million kg of chicken meat/chicken meat products and 25 million kg of turkey meat and turkey meat products were exported [115]. Canadian poultry products are exported to 67 countries, with the two largest importers being the USA and the Philippines [115].

Pursuant to the North American Free Trade Agreement (NAFTA), the combined import of broiler hatching chicks and eggs is 21% of the current (anticipated) year's production [116]. For chicken, imports under NAFTA are 7.5% of previous year's production, and for turkeys, the volume of import is set annually at 3.5% of domestic production [116].

Canadian consumption of poultry meat has increased steadily over the past two decades. In 2016, Canadians consumed 32.5 kg of chicken and 4.3 kg turkey meat per person, compared to 19 kg beef and 17 kg pork per person [25, 114].

Characteristics of the food product(s) that may impact risk management (e.g. further processed, consumed cooked, pH and water activity)

Chicken and turkey can be purchased fresh/chilled, frozen or cooked; which can affect consumer exposure to the foodborne pathogen. From 2011 to 2014, CIPARS conducted a pilot study of retail breaded chicken products (nuggets, strips etc.). Of all the Salmonella isolated (n = 494), 32% were S. Heidelberg, of which 43% were resistant to ceftiofur/ceftriaxone. Frozen raw breaded chicken products can appear cooked when they are in fact raw. This may affect consumer behaviour, leading to an increased risk of exposure to CSH. A Canadian case-control study found that one third of the study participants did not handle or prepare raw chicken strips or nuggets with the same level of caution as they would do with raw chicken [Reference Currie44]. Thirty percent of participants reported washing their hands less often after handling processed products, in comparison with handling raw whole chicken, due to a perception that these products had already been cooked, and was, therefore, safer [Reference Currie44]. For context, raw chicken (including frozen breaded chicken) has been a source of 18 Salmonella outbreaks in Canada since 2017 [117].

Description of the food production to consumption continuum (e.g. primary production, processing, storage, handling, distribution and consumption) and the risk factors that affect the microbiological safety of the food product of concern

The information in this section is presented in the context of the production process, including farm, transport, processing (stun and killing, scalding, de-feathering, evisceration, washing, chilling and portioning), product storage (chilled or frozen) and retail and consumer handling.

Chicken and turkey production in Canada is supply managed. Canadian chicken production involves importing male and female broiler breeder lines (as either hatching eggs or chicks) from the USA; American companies own the elite stocks (e.g. pure line, great grandparents and grandparents; Supplementary Fig. S1). In 2016, Canada imported ~2.8 million broiler breeder hatching eggs, which were hatched in domestic hatcheries and 3.2 million broiler breeder chicks (hatched and processed in American facilities) [118]. Commercial broiler farms imported 127.5 million hatching eggs and 20.8 million chicks during the same year [118]. Turkey primary breeding stock (great grandparents and grandparents) is largely situated in Canada.

The hatcheries, regulated by the Canadian Poultry and Egg Processors Council, provide standard day-old-chicks, from both domestic and imported sources, to commercial broiler producers. At the hatchery, the eggs are vaccinated against Marek's disease and ceftiofur (where used) is administered, before they are placed in a hatcher. In hatcheries that do not utilise in-ovo vaccination, the Marek's Disease vaccine and/or the antimicrobial are given subcutaneously at one day of age. At one day of age, they undergo processing (additional vaccinations against infectious bronchitis and/or coccidiosis, health check, and, in the case of turkey poults, gender identification), and are placed in boxes for shipping to farms for rearing. A 42 g chick (Ross 308 standard) could reach 2.1 kg in 36 days. In Canada, turkeys reach market weight at between 11 and 17 weeks, and are produced in various weight ranges, including broiler turkeys (up to 6.2 kg), hen turkeys (6.2–10.8 kg) and tom turkeys (⩾10.8 kg) [119].

Apart from antimicrobial selection pressure, there are multiple factors at hatchery or farm level that can influence the colonisation, prevalence and growth of Salmonella, or the dissemination of resistance determinants. Possible sources of Salmonella contamination include water, feed, litter, staff and the environment [120]. Risk factors include high stocking densities, vertical integration, contamination of a previously placed flock, inadequate hygiene and contaminated day-old chicks from hatchery [Reference Foley82].

Resistant bacteria could be introduced by mixing medicated and un-medicated chicks in one barn (i.e. when there are importation and inter-provincial exchanges of chicks) [Reference Baron121] or disseminated from earlier levels of production such as grandparent flocks to their broiler progenies [Reference Pohjanvirta, Kaukonen, Ikonen, Vahanikkila and Pelkonen95]. There is evidence that cefotaxime-resistant E. coli are persistent from grandparent to broilers, indicating that vertical transfer of resistant strains could occur [Reference Pohjanvirta, Kaukonen, Ikonen, Vahanikkila and Pelkonen95]. In Denmark, research has found bla CMY−2 positive E. coli collected from parent flocks, broilers and chicken meat had identical genetic fingerprint patterns, suggesting that resistant E. coli genotypes persist throughout broiler processing, exposing consumers to resistant bacteria through chicken meat [Reference Agersø15]. Cephalosporins have never been approved for use in poultry in Denmark; the presence of extended-spectrum cephalosporin-resistant E. coli in poultry may be due to vertical transmission from imported grandparent stock from another country where cephalosporins were used [Reference Agersø15].

Poultry manure often harbours resistant microbes and could be spread on a field used for feed or food crop production, which may affect the dissemination of resistant microbes, including CSH [Reference Merchant122, Reference Yang123]. The possibility that poultry feed could be contaminated with S. Heidelberg exists. However, in 2016, Canadian feed sampling did not identify any S. Heidelberg among the 46 Salmonella isolated from feed [13]. Furthermore, none of the Salmonella isolates were resistant to β-lactams [13].

No after-farm activities were identified which would induce preferential selection of different serovars or resistant strains, although some may impact pathogen load. It is not anticipated that transport or the stunning and killing process would result in increased growth or survivability of CSH in comparison with susceptible S. Heidelberg strains [Reference Chapman124].

Cross-contamination during abattoir processing may occur at any stage, but is generally associated with increased handling and contact between carcasses (or their fluids) during de-feathering, evisceration, washing and immersion (water) chilling. Following slaughter, carcasses are immersed in a scalding vat to aid de-feathering. Scalding is generally associated with a net decrease in microbial contamination, due to high temperatures capable of Salmonella inactivation, and a wash-off effect. D-Values of 1.1–5.9 min at scald temperatures of 55 °C, both in scald water and on broiler skin, were reported [Reference Yang, Li and Johnson62]. De-feathering is associated with low levels of cross-contamination of nearby carcasses and surfaces [Reference Hartnett125]. The net effect is a reduction in the variability of microbial loads between the carcasses within a flock.

When viscera are removed without damage, evisceration is associated with a net decrease in microbial contamination. However, viscera may rupture during removal, contaminating the carcass. When gross contamination is detected, carcasses are condemned, but processing equipment may remain contaminated, disseminating CSH to other carcasses.

Regarding the effect of portioning, assuming bacteria are distributed uniformly across the carcass, the bacterial load on individual portions may be modelled as a function of the portions' relative masses or surface areas. More complex models assume the occurrence of bacterial clustering on specific cuts; the degree to which this clustering occurs is a best-guess estimate [Reference Hartnett125, Reference Nauta126].

Consumer behaviour, in particular, unsafe food handling and preparation, is a critical risk factor for increasing the probability of exposure to S. Heidelberg (susceptible or resistant to ceftiofur/ceftriaxone). Further discussion on risk management options at the consumer-level can be found in ‘Measures to minimise the contamination and cross-contamination of food by resistant microorganism(s)'.

Summary level of concern and data quality

The level of concern is estimated a three, as poultry meat is commonly consumed, and there are various pressure points during the production stages on a farm where AMU can select resistance, or where CSH can be disseminated (also later in the food chain). The data quality score for ‘Information on the Food Commodity(ies)’ is 8; the rationale being that although recent Canadian data are available, the poultry production information is empirical.

Information on adverse public health effects

Characteristics of the disease caused by the identified foodborne resistant microorganisms or by pathogens that have acquired resistance determinants via food

Trends in AMR foodborne disease

Between 2003 and 2011, 638 cases of invasive S. Heidelberg infections were reported in Canada, with 30% occurring in children under the age of 13 years [Reference Otto127]. During 2016, S. Heidelberg accounted for 7% of all reported human salmonellosis cases in Canada [16]. The reported 2016 incidence of S. Heidelberg isolated from humans (1.6/100 000 individuals) represents a 13% decrease from the average incidence observed from 2007 to 2011 (1.8/100 000) [16]. However, this does not account for potential under-reporting, for example, in Ontario, it is estimated that for every Salmonella case reported, between 13 and 37 cases go unreported [Reference Thomas128].

The percentage of human S. Heidelberg isolates resistant to ceftiofur/ceftriaxone has varied over time; from 2007 to 2010 resistance was 14–19%, between 2011 and 2015 it increased to 27–33%, and in 2016, it decreased to 16% [13].

A quantitative stochastic risk model was developed to estimate the number of human infections caused by CSH in Ontario and Québec, which considered changes in AMU practices in chicken production over time, the under-reporting of Salmonella cases and uncertainty in the data provided [Reference Otto127]. The results demonstrated that changes in the incidence of CSH in people paralleled the changes in AMU practices in the poultry industry, in line with a previous finding of a significant temporal correlation between ceftiofur resistance in S. Heidelberg isolated from retail chicken and from humans [Reference Otto127, Reference Dutil97].

Frequency and severity of effects including case-fatality rate, hospitalisation rate and long-term complications

The invasive nature of S. Heidelberg infection increases the risk of severe and life-threatening illness, compared to other Salmonella serovars. It is estimated that bacteremia develops in 5–8% of people infected with NTS [Reference Hohmann and Acheson104]. The addition of resistance to this already virulent microorganism will likely increase morbidity.

Currently, no national burdens of illness data, such as the number of S. Heidelberg cases hospitalised or the incidence of treatment failures due to resistance, are routinely collected in Canada. A Canadian S. Heidelberg case-control study (not specific to CSH), conducted in 2003 as a result of an outbreak investigation, found that the median length of illness was 10 days, 47% of the cases were admitted to hospital with a 5-day median length of hospitalisation, and one third of the cases had bloody diarrhoea [Reference Currie44].

From 1996 to 1999, S. Heidelberg was estimated to have caused 84 000 cases of illness (6% of all salmonellosis cases) annually in the USA, with 11% of the infections being invasive in nature [Reference Hennessy48, Reference Vugia129]. During this timeframe, S. Heidelberg was isolated from 7% of the patients who died from salmonellosis, second only to S. Typhimurium (50%) [Reference Kennedy130].

An S. Heidelberg outbreak in the USA between March 2013 and July 2014, linked to consumption of chicken from one farm, resulted in 634 human cases, with a 38% hospitalisation rate, and no mortalities [131]. The AMR profile of these isolates was multi-class resistant, but did not include ceftriaxone resistance [131].

The CDC published a report on AMR threats in the US, associating drug-resistant NTS with ~1.2 million illnesses, 23 000 hospitalisations and 450 deaths annually [2]. The AMR patterns of concern noted in the report included resistance to ceftriaxone (36 000 illnesses and 13 deaths per year) [2]. In Canada, in 2014, 31% and 37% of the S. Heidelberg isolated from blood and urine, respectively, were resistant to ceftriaxone. In 2015, 95% of S. Heidelberg from blood and 93% from urine were resistant to ceftriaxone. Data from 2016 indicated a decrease in the percentage of S. Heidelberg isolates resistant to ceftriaxone, with 18% from blood, and 15% from urine resistant to ceftriaxone.

Susceptible populations and risk factors

The following description of susceptible populations and risk factors is generic for all Salmonella. No additional risk factors specifically for S. Heidelberg or CSH were found. Extremes of age, immunodeficiency, prior AMU, neoplastic disease, gastric hypoacidity, pernicious anaemia, diabetes, rheumatological disorders, recent bowel surgery and malnutrition can all increase susceptibility to Salmonella infection [Reference Hohmann and Acheson104, Reference Owens and Warren132]. Kidney stones, gallstones, atherosclerotic endovascular lesions, schistosomiasis and prosthetic devices may provide sites for prolonged Salmonella infection [Reference Hohmann and Acheson104]. Due to relatively lower stomach acidity, and the buffering effect of milk, neonates are particularly at risk, whereas the elderly, especially those in nursing homes, are more susceptible due to chronic co-morbidities and weakened immune systems [Reference Owens and Warren132]. For those ⩾50 years old, the case-fatality rate is estimated to be 1% higher than their younger counterparts [Reference Owens and Warren132]. Risk factors associated with a higher probability of vascular infections due to NTS include the male sex, hypertension and coronary arterial disease [Reference Chen133].

Epidemiological pattern (outbreak or sporadic)

Like other Salmonella, S. Heidelberg has been implicated in both outbreaks and sporadic infections [Reference Jackson134136]. Various multistate outbreaks of S. Heidelberg in the USA have been linked to a single poultry producer [136], to the consumption of ground turkey [137], and to contact with dairy calves [138]. A Canadian case-control study demonstrated that 34% of S. Heidelberg infections were attributable to home-prepared chicken nuggets and strips [Reference Currie44].

Regional, seasonal and ethnic differences in the incidence of foodborne disease due to the resistance hazard

Other than the noted difference between the provinces in the frequency of S. Heidelberg isolates resistant to ceftiofur/ceftriaxone, the available data did not identify any other regional, seasonal or ethnic differences. However, this may be because these elements were not requested during the primary data collection.

Additional information on the relationship between the presence of the resistant microorganisms or determinants in the food commodity and the occurrence of the adverse health effect(s) in humans

No additional information was available.

Consequences of AMR on the outcome of the disease: increased frequency and severity of infections, including prolonged duration of disease, loss of treatment options and treatment failures, increased frequency of bloodstream infections, hospitalisation and mortality

The consequences of infections caused by resistant bacteria encompass all aspects of morbidity, management and outcomes of such infections. These aspects are difficult to separate, and as such, we combined two Codex subheadings (Loss of treatment options and treatment failures and Increased frequency and severity of infections, including prolonged duration of disease, increased frequency of bloodstream infections, hospitalisation and mortality) into the heading ‘Consequences of AMR on the outcome of the disease: increased frequency and severity of infections, including prolonged duration of disease, loss of treatment options and treatment failures, increased frequency of bloodstream infections, hospitalisation and mortality’.

Examples of the burden of illness measures associated with resistant Salmonella reported in the literature can be found in Supplementary Material Table S4. Bacteremia [Reference Varma139Reference Crump142] and hospitalisation [Reference Varma139, Reference Krueger140, Reference Varma143149] were significantly more common among patients infected with resistant Salmonella, and hospital admissions tended to be longer in duration [Reference Varma139, Reference Krueger140, Reference Broughton150]. Depending on how many antimicrobial classes an isolate was resistant to, the risk of having a bloodstream infection was 3–10 times higher, risk for hospitalisation was up to 4 times higher, and the risk of staying in hospital longer than 3 days were up to twice as high, compared to infection by susceptible strains [Reference Krueger140]. These resistant infections were also associated with increased morbidity [Reference Wang151, Reference Gupta152], increased mortality rates [Reference Varma143Reference Weinberger and Keller146, Reference Solghan148, Reference Wang151, Reference Holmberg, Wells and Cohen153] as well as loss of productivity and increased hospital costs [Reference Broughton150, Reference Barnass154]. It is notable that the only S. Heidelberg specific outbreak with published burden of illness information was a 1987 hospital outbreak in England [Reference Barnass154]. In this particular study, the microorganism was described as ‘multiply-resistant’ S. Heidelberg, but no details of the resistance pattern were provided [Reference Barnass154].

Summary level of concern and data quality

Loss of treatment options/treatment failures due to CSH infections is possible. The lack of information on the burden of illness specific to 3GC-resistant S. Heidelberg constitutes a large data gap. The level of concern was estimated at three, based on the availability of sufficient information to confirm CSH's association with worse disease outcomes. The overall data quality for ‘Characteristics of the disease caused by the identified foodborne resistant microorganisms or by pathogens that have acquired resistance determinants via food’ is 11 (Canadian data, passive surveillance from 2015 onwards) and 6 for ‘Consequences of AMR on the outcome of the disease: Increased frequency and severity of infections, including prolonged duration of disease, loss of treatment options and treatment failures, increased frequency of bloodstream infections, hospitalisation and mortality’ (due to the lack of recent Canadian specific data from active or passive surveillance). The overall average data quality score for ‘Information on adverse public health effects’ is 8.5.

Risk management information

Identification of risk management options to control the AMR hazard along the production to consumption continuum, both in the pre-harvest and post-harvest stages

Risk management options can be divided into two additional categories (in addition to the Codex pre-harvest and post-harvest): (1) controlling selection pressure and (2) controlling the spread of resistant bacteria.

Measures to reduce the risk related to the selection and dissemination of foodborne antimicrobial-resistant microorganism(s)

The major risk factor for the selection of resistant bacteria is AMU. Measures limiting AMU are likely to be less effective if the need for antimicrobials is not also addressed, e.g. farming practices that reduce the incidence of diseases that require AMU. The European Food Safety Authority has stated, ‘Prioritisation is complex, but it is considered that a highly effective control option would be to stop all uses of cephalosporins/systemically active 3rd/4th generation cephalosporins, or to restrict their use (use only allowed under specific circumstances). As co-resistance is an important issue, it is also of high priority to decrease the total antimicrobial use in animal production in the EU’ [155].

For AMU decisions, it is important to involve every level of poultry production, and to involve multiple stakeholders, such as veterinarians, the pharmaceutical industry, the poultry production industry (producers and industry bodies) and regulatory authorities. The lack of approved alternative antimicrobials with a short drug (residue) withdrawal time, continued disease pressures on poultry flocks, and the continuous pressure on veterinarians to maintain both the health and productivity of a flock need to be understood and addressed.

Options to prevent, limit or decrease AMU may include assessing possible human health impacts of a particular antimicrobial before it is licensed for use in animal food production, removing financial incentives linked to prescribing antimicrobials and the limitation of certain antimicrobials for some indications or in certain food animal species [Reference Aarestrup, Wegener and Collignon156]. Other options include the development and implementation of antimicrobial stewardship programs aimed at stakeholders at all levels, as well as addressing prescriber behaviour (e.g. placing restrictions on the prescriptions of specific antimicrobials, continued prescriber education, auditing and improved diagnostic services to direct AMU) [Reference Aarestrup, Wegener and Collignon156]. Publishing and disseminating up-to-date prudent use guidelines should be ensured. Current antimicrobial prudent use guidelines produced by the Canadian Veterinary Medical Association (2008) state that for poultry and E. coli, in the ‘case of recurring omphalitis related to a breeder flock or poor shell quality in times of very hot weather, the use of antibiotics in the hatchery is judicious’ [157], recommending that gentamicin and lincomycin–spectinomycin be used (i.e. ELU). Canadian AMU and AMR surveillance data should be taken into consideration to update these guidelines (see ‘Effectiveness of current management practices in place based on surveillance data or other sources of information’).

Measures to minimise the contamination and cross-contamination of food by resistant microorganism(s)

At the farm-level, interventions can be targeted at preventing introduction and spread of Salmonella; including the implementation of specific Salmonella control programs at the breeder/parent stock, hatchery and broiler farm level, and addressing all possible sources of exposure (water, feed, litter, farm staff and environment) [120]. According to the World Health Organisation and the Food and Agriculture Organisation of the United Nations, the four most important control measures during primary production are: (1) eliminating Salmonella from grandparent and parent stocks, (2) having an all-in all-out production system at the broiler farm, (3) avoidance of pathogen transfer between flocks by contaminated processing equipment through logistic slaughter planning and (4) transport crate cleaning [120].

Biosecurity is also of particular importance, and should encompass all aspects of farm/barn access (people and vehicles), pest control (rodents, insects and wildlife), water and feed management, clothing and footwear of staff, sufficient decontamination procedures and proper protocols for quarantine and the handling of sick/dead birds.

Interventions during processing are designed to reduce cross-contamination between carcasses, and to physically remove or chemically inactivate Salmonella. A few measures are highlighted, but it is not an exhaustive list of all possible risk management options.

Logistic slaughter is a risk management measure, where potentially contaminated flocks are processed after those unlikely to be contaminated [120]. Other measures include high-scalding temperatures, maintaining and decontaminating equipment and prevention of viscera rupture during evisceration [120]. Washing of carcasses can include sequential washing, with wash additives, such as acidified sodium chlorite, citric acid or sodium hypochlorite [120]. Acidified sodium chlorite (pH ~ 2.5) at concentrations of 700–900 ppm has been associated with decreased Salmonella prevalence of 18–56% [120]. Chilling (air or immersion) should be rapid and chemicals, such as chlorine or other chlorine derivatives, may be added to the chilling water [120].

Temperature control during packing, storage and at point of sale (maintaining cold chain) is important. Salt concentration and pH can affect bacterial growth in retail meat products. For S. Heidelberg, 8% or 10% salt concentration at pH 6.8 inhibited all bacterial growth at all temperatures tested, but at 6% salt and 20–35 °C, growth occurred within 1 week [Reference Gibson and Roberts158].

At the consumer level, education and awareness campaigns may be implemented to promote safe food handling and cooking practices. Cooking is a critical control point for protecting human health through the inactivation of Salmonella in food. The D-values reported for Salmonella in meat products typically range between 1 and 10 min at 60 °C and less than 0.1 min at 70 °C [Reference Murphy159]; high-fat content or low-water activity increase the time required to inactivate the organism. A 7 log10 reduction of Salmonella can be obtained by cooking poultry meat to a minimum internal temperature of 74 °C [120].

A Canadian S. Heidelberg case-control study found that 23% of participants reported that children and teenagers were typically the consumers of frozen processed chicken products, products that are associated with an increased risk of transmitting Salmonella, while 40% reported that the whole family consumed the products [Reference Currie44]. Notably, 12% of the participants never read the cooking instructions for these products, representing a potential risk management intervention point [Reference Currie44]. On July 12, 2018, the Canadian Food Inspection Agency issued a notice to industry to implement control measures by April 1, 2019 to reduce Salmonella to below detectable amounts in frozen raw breaded chicken products [160]. To this end, four options have been proposed: (1) implement a cooking process to achieve a 7-log reduction in Salmonella, (2) implement a Salmonella testing program for the chicken mixture (to ensure the absence of Salmonella), (3) implement a hold-and-test program or (4) implement processes to achieve a 2-log reduction in Salmonella and Salmonella sampling program [160].

Risk management options at different stages of poultry production, and the relevant parties involved in implementation are described in Table 1.

Table 1. Pre- and post-harvest options for controlling ceftiofur/ceftriaxone-resistant Salmonella Heidelberg through the poultry production chain

Effectiveness of current management practices in place based on surveillance data or other sources of information

Evaluating the effectiveness of different risk management options is difficult due to the lack of quantitative data of the enumeration of CSH, and Salmonella in general, at different points along the production-to-consumption continuum. It was furthermore considered outside the scope of this risk profile (but inside the scope of a future quantitative risk assessment) to comprehensively evaluate the effectiveness of every possible risk management option. Thus, this section focuses primarily on vaccines and AMU.

Since January 2013, all broiler breeder flocks in Ontario have been receiving live attenuated S. Typhimurium vaccine, as well as killed autogenous vaccine for S. Enteritidis, S. Typhimurium, S. Heidelberg and S. Kentucky [Reference Ouckama161]. In January 2017, a Salmonella enterica subsp. enterica serovar Infantis autogenous vaccine was added. For the 5 years before vaccination commenced, the average frequency of Salmonella positive samples from hatcheries and breeder barn environments was 10% and 9% respectively, compared to 3% and 4% average for the 4 years after vaccination was implemented [Reference Ouckama161]. Although is not possible to attribute the decrease in Salmonella prevalence directly to vaccinations, the results are highly suggestive [Reference Ouckama161], and vaccination as a viable alternative to AMU bears further investigation. It has been suggested though that the use of vaccines, and other bacterial limiting interventions, aimed at only S. Enteritidis and S. Typhimurium may increase selection pressure for other serovars, such as S. Heidelberg [Reference Foley82]. The Salmonella vaccines registered for use in Canada are predominantly specific for S. Enteritidis and S. Typhimurium, not to S. Heidelberg; hence, there is use of the specific autogenous vaccines in the breeder program [162]. Two products claim to reduce S. Heidelberg colonisation [162]. Of the broiler chicken flocks surveyed by CIPARS, none reported Salmonella vaccine use from 2013 to 2015, but during 2016, 4% (5/136) reported Salmonella vaccine use [13, 27, 28, 39].

There is international concern regarding Salmonella resistance to 3GC, and several regulatory agencies and industry bodies have taken measures to address the use of cephalosporins in food animals/poultry [72, Reference Collignon163]. In 2012, the European Medicines Agency revoked poultry indications for all veterinary drugs containing systemically administered 3rd and 4th generation cephalosporins [164], the US Food and Drug Administration prohibited certain ELU of cephalosporins in major food producing species, including poultry [165] and the British Poultry Council voluntarily stopped the use of cephalosporins [166]. The World Organisation for Animal Health recommends that 3rd and 4th generation cephalosporins should not be used as first line treatment unless justified, bacteriological tests should support its use as second line treatment, they should not be used for disease prevention via water or feed administration, and ELU should be limited and reserved for situations where no alternatives are available [167].

In terms of effectiveness of changing AMU in Canada on CSH from poultry, the potentially high levels of ceftiofur use in the early 2000s, followed, respectively, by a sharp reduction in use, an intermittent increase in use, and a complete ban, has been mirrored not only in the percentage of S. Heidelberg isolates resistant to ceftiofur/ceftriaxone isolated from various stages during poultry production, but importantly also in humans infected with S. Heidelberg (Fig. 2). Surveillance data also indicated a similar change in ceftiofur resistance in generic E. coli isolated from retail chicken [32]. This is an important finding as the decrease in ceftiofur resistance rates across two different bacterial species is indicative of a shared selective pressure (i.e. AMU).

The apparent correlation between reductions in ceftiofur use and reduced prevalence of ceftiofur resistance in Salmonella or E. coli has been demonstrated by other countries. For example, in Japan, the prevalence of extended-spectrum cephalosporin-resistant Salmonella in chicken meat was 45% in 2011 [Reference Shigemura168]. In March 2012, the Japanese poultry industry voluntarily ceased using ceftiofur and subsequently the prevalence of resistant Salmonella decreased yearly to 11% in 2015 [Reference Shigemura168].

In 2006, CIPARS data were used in part by Health Canada to develop resistance-related warning statements for ceftiofur products [Reference Grignon-Boutet169]. These warning statements have recommended that ceftiofur products should only be used to treat individual animals, and advised against ELU. They have also included recommendations regarding the need for pathogen culture and susceptibility testing. These statements were developed within Health Canada's ELU framework, which takes into consideration AMR when conducting both pre- and post-market microbial food safety assessments of antimicrobial drugs [Reference Grignon-Boutet169].

Summary level of concern and data quality

The temporal mirroring of ceftiofur use practices and ceftiofur/ceftriaxone resistance in two bacterial species suggests that controlling ceftiofur use was a highly effective risk management intervention. The suggested data elements in this section do not lend themselves to scoring a level of concern. However, these risk management options and the effectiveness of current activities raise the question of whether the current (2016) frequency of ceftiofur resistance in S. Heidelberg from retail chicken at 12%, from retail turkey at 22% and 16% of human isolates is low enough to be acceptable from a safety perspective [13], or whether additional risk management interventions are needed. As the ceftiofur use on the sentinel poultry farms is reported to be zero, other non-ceftiofur use interventions might have to be considered. The data quality for ‘Risk Management Information' is scored at 12 as current active Canadian surveillance data are available.

Evaluation of available information and major knowledge gaps

Uncertainty of available information and areas where major gaps of information exist that could hamper risk management activities, including, if warranted, the conduct of a risk assessment

The subheadings 7.1 Uncertainty of available information and 7.2 Areas where major gaps of information exist that could hamper risk management activities, including, if warranted, the conduct of a risk assessment were combined. The Codex Guidelines are not specific on how to describe uncertainty or data gaps. For the purpose of this risk profile each section was summarised qualitatively, highlighting uncertainty of information and data gaps, by section heading (Supplementary Table S5). This table also covers a discussion of whether new data (including molecular information from WGS) would be beneficial to make a risk management decision. A summary of this section is included in the discussion.

Discussion

The information presented in this article, with the levels of concern and data quality ascribed to appropriate sections, suggest that CSH is not just a hazard, but an AMR risk. Provisional measures were, and are still required to decrease the risk to human health posed by CSH from poultry meat. Ceftiofur-resistant Salmonella is increasingly isolated around the world, and CSH is frequently isolated from humans and animals in North America. In Canada, CSH is isolated more frequently from poultry than from other healthy food animal sources tested. Human infections caused by S. Heidelberg are associated with higher morbidity and mortality, can affect vulnerable sub-populations (e.g. children), and have limited alternative treatment options. Furthermore, resistance determinants are transmissible to other bacterial species and Canadians have high exposure to poultry meat.

The most significant data gaps include the concentration of CSH throughout the production-to-consumption continuum (pathogen load), Canadian burden of illness measures due to CSH, as well as the genetic relatedness of S. Heidelberg isolated from poultry and from humans.

One data element not requested in the Codex Guidelines that should be mentioned is the issue of trade barriers related to resistant pathogens. For example, with the American multistate outbreak of multidrug resistant S. Heidelberg in 2013/2014, the news media reported that Mexico banned three American chicken processing plants from exporting their products to Mexico [Reference Terry170]. In relation to the same outbreak, the media reported the outcome of one court case concerning a child who suffered a brain injury because of the S. Heidelberg infection; the jury attributed 30% of the fault to the chicken farm, and 70% to the family for their handling and preparation of the food [171]. This type of information does not readily translate into the more health-related suggested data elements for a risk profile, but nonetheless is of significant interest to a policy audience. Also, the finding of extended-spectrum cephalosporin-resistant S. Heidelberg in poultry imported from Brazil into Portugal in 2014–2015 [Reference Campos85] and in poultry imported from Brazil into the Netherlands between 1999–2013 [Reference Liakopoulos83] in part prompted the recommendation from the European Food Safety Authority for consideration of inclusion of Heidelberg in the Europe's recommended Salmonella serovar targets for breeding hens [172].

Ending ELU of ceftiofur, particularly preventive use in poultry, is critical for limiting the emergence and spread of ceftiofur resistance. Importantly, the Canadian poultry industry voluntarily eliminated the preventive use of ceftiofur, a risk management intervention mandatory for all poultry producers in Canada [99]. Vaccination programs for Salmonella, including S. Heidelberg, and other Salmonella control programs might be a successful option as well. These interventions should include strategies to measure and monitor their effectiveness.

WGS is expected to be an invaluable tool for increasing our knowledge of S. Heidelberg and other foodborne resistant microorganisms. WGS data will allow the mapping of genetic resistance determinants and their transmission pathways, both vertical and horizontal, along the production-to-consumption continuum, as well as the determination and quantification of source attribution in human cases of salmonellosis. In addition, WGS analyses of S. Heidelberg from both human and poultry sources in Canada suggest horizontal plasmid dissemination of bla CMY−2 containing IncI1 plasmids among S. Heidelberg isolates, rather than just clonal spread [Reference Edirmanasinghe58]. To date, WGS has shown its discriminatory power for differentiating outbreak and sporadic S. Heidelberg strains, which was not possible using the conventional pulsed-field gel electrophoresis typing method due to its clonality [Reference Bekal173Reference Vincent175]. Additional Canadian WGS work is underway to examine the spatial and temporal distribution of CSH, and to evaluate the potential value of integrating WGS data into a production-to-consumption quantitative microbial risk assessment, using WGS data from S. Heidelberg collected in Canada [Reference Smith, Collineau and Chapman176]. WGS is valuable in hazard characterisation by identifying the presence and location of AMR genes, and by determining the virulence profile of the bacteria of interest [Reference Smith, Collineau and Chapman176]. In addition, WGS enables better measure of risk of exposure and, once correlations between genotypic and phenotypic profiles are validated, should enable better predictions of clinical outcomes [Reference Smith, Collineau and Chapman176]. A recent US study highlighted the value of WGS in examining the impact of exogenous farming practices on the virulence, AMR and survival of S. Heidelberg [Reference Deblais81].

Regarding the Codex Guidelines, Appendix A of the Codex Guidelines for Risk Analysis of Foodborne Antimicrobial Resistance provided an excellent template for compiling a risk profile with relevant information in a structured, transparent manner. However, compiling the risk profile was challenging, and some aspects may need refining. For instance, guidance on how to objectively derive conclusions from the data was lacking. All the suggested elements for inclusion in the risk profile are currently weighted equally. However, specific elements or findings may have more importance in some situations, based on trade, health, or policy considerations. Challenging aspects also included determining when to cease adding information from other animal species, other bacterial species, other countries or other related antimicrobial agents to inform the issue. Condensing the material into a suitable length with adequate non-technical language for policy makers was also problematic. Future versions of Codex AMR risk profiles may consider including slightly different content to reflect the need for conciseness and to narrow the scope of material for specific sections.

Some headings in the Codex Guidelines lacked clarity on the information that was needed, or alternatively resulted in duplication of information. For example, there are sections for the animal and human uses of the antimicrobial which refer to cost of the antimicrobial of interest, but it is unclear if cost, in this context, refers to the price of the antimicrobial to the consumer, or to expenditure associated with its use. In addition, the value of providing cost information, and its interpretation within the context of a risk profile, is undefined. The section on ‘Availability of alternative antimicrobial agents' does not clearly indicate if alternative antimicrobial treatment options refer to only infections caused by the AMR hazard of interest, or if the information provided should encompass a broader discussion of treatment alternatives in different scenarios, e.g. in patients that are hypersensitive to cephalosporins.

‘Growth and survivability, including inactivation in foods (D-value, minimum pH for growth) of the foodborne antimicrobial-resistant microorganism(s) in the food commodity production-to-consumption continuum’, ‘Description of the food production to consumption continuum (e.g. primary production, processing, storage, handling, distribution and consumption) and the risk factors that affect the microbiological safety of the food product of concern’ and ‘Measures to minimise the contamination and cross-contamination of food by resistant microorganism(s)’ are duplicative, and combining them into one heading would yield a more concise delivery of the material. The headings for ‘Trends in the use of the antimicrobial agent(s) in the agricultural and aquaculture sectors and information on emerging resistance in the food supply’, ‘Information on the relationship between the use of the antimicrobial agent(s) and the occurrence of resistant microorganisms or resistance determinants in the food commodity of concern', and ‘Trends in the use of antimicrobial agents(s) in humans and information on emerging diseases due to microorganism(s) resistant to the antimicrobial agent(s) or classes' also result in duplication of material and a revision of these headings may provide some clarification.

To improve the order of presentation of information, ‘Information on the antimicrobial agent(s) to which resistance is expressed’ could be placed before ‘Information on the antimicrobial resistant organism and/or AMR determinant’. Discussion and interpretation of AMR requires knowledge of the antimicrobial of interest.

The Codex Guidelines are not specific on how to describe uncertainty or data gaps. For the purpose of this risk profile, uncertainty and data gaps in each section were summarised qualitatively and transparently, however improvements or standardisation of this in a streamlined manner (to not unduly impact the timeliness of the risk profile process) are needed.

Compiling the risk profile was time and human resource intensive. Dedicated staff to create a risk profile would be preferential to ensure timely completion, which would optimistically, take ~6 months to complete. As more risk profiles are created, completion time may shorten, as information may be applicable to more than one risk profile. For example, a risk profile for another pathogen in poultry (e.g. Campylobacter spp.) would have some identical elements to this risk profile, such as poultry industry information, or per capita chicken consumption data. Sections of the risk profile also require specific expertise. Thus, to compile an accurate risk profile, personnel with expertise from a variety of scientific fields were needed. Authors of this risk profile included veterinarians, microbiologists, epidemiologists, physicians and public health experts, amongst others.

It is important to note that while a risk profile is not intended to be an abbreviated risk assessment, our work evolved into being a qualitative risk assessment. Ensuring that clear and concise questions are addressed by a risk profile is a key recommendation from our experience with implementing the Codex Guidelines. With refining and clearer guidance on the depth and breadth of the required information presented in each section, these guidelines will be an even more valuable tool in describing a food safety problem and its context.

Risk profiles are intended to lead to recommendations either to take further action, prompt a foodborne AMR risk assessment, establish additional information gathering mechanisms and/or implement immediate risk mitigating measures. Overall for this risk profile, we recommend that further action is needed, as the current level of CSH in humans is still above 16%, despite some very effective risk management interventions. We recommend that the three major data gaps (pathogen load, burden of illness and genetic similarity of CSH between poultry and people) be addressed. In addition, we recommend that to quantitatively evaluate the success of current and future risk management interventions, a quantitative microbial risk assessment be conducted. Finally, as a risk management tool, risk communication per the Codex Guidelines [7] can be utilised to communicate the outcomes of this risk profile with the stakeholders for collaborative efforts to tackle the AMR food safety issue.

Supplementary material

The supplementary material for this article can be found at https://doi.org/10.1017/S0950268819001778.

Acknowledgements

We would like to sincerely thank all the other past and present members of the Government of Canada's Interdepartmental Science-Policy Task Team on Foodborne Antimicrobial Resistance for their helpful discussion on ceftiofur resistance and reading of this manuscript. Previous student and post-doctoral work also contributed to this effort with thanks to Rebecca Jeffrey, Sarah Garland, Zoe Martos, Maggie McCann, Lucie Collineau, Allison Roberts and Courtney Primeau. We would also like to thank Shiona Glass-Kaastra, Jane Parmley and Brent Avery for their assistance with data provision, as well as, thank Richard Reid-Smith for his support.

Financial support

This research was in part supported by the Genomics Research and Development Initiative-Antimicrobial Resistance (GRDI-AMR).

Conflict of interest

None.

References

1.World Health Organization (WHO) (2014) Antimicrobial resistance: global report on surveillance. Available at https://apps.who.int/iris/bitstream/handle/10665/112642/9789241564748_eng.pdf;jsessionid=ACFE71817F8C3640A8F68C98FA19B4C3?sequence=1 (Accessed 18 July 2019).Google Scholar
2.Centers for Disease Control and Prevention (CDC) (2013) Antibiotic resistance threats in the United States, 2013. Available at https://www.cdc.gov/drugresistance/pdf/ar-threats-2013-508.pdf (Accessed 18 July 2019).Google Scholar
3.Andreoletti, O et al. (2008) Foodborne antimicrobial resistance as a biological hazard. EFSA Journal 765, 287.Google Scholar
4.Finley, RL et al. (2013) The scourge of antibiotic resistance: the important role of the environment. Clinical Infectious Diseases 57, 704710.Google Scholar
5.European Food Safety Authority, European Centre for Disease Prevention and Control (2014) The European Union Summary Report on antimicrobial resistance in zoonotic and indicator bacteria from humans, animals and food in 2012. EFSA Journal 12, 3590.Google Scholar
6.Public Health Agency of Canada. Canadian Antimicrobial Resistance Surveillance System (CARSS) Update 2018. Available at https://www.canada.ca/content/dam/phac-aspc/documents/services/publications/drugs-health-products/canadian-antimicrobial-resistance-surveillance-system-2018-report-executive-summary/pub1-eng.pdf (Accessed 17 July 2019).Google Scholar
7.Codex Alimentarius Commission, World Health Organization, Food and Agriculture Organization of the United Nations. Codex guidelines for the risk analysis of foodborne antimicrobial resistance. CAC/GL 77–2011.Google Scholar
8.World Health Organization (WHO) (2017) Critically Important Antimicrobials for Human Medicine 5th revision 2016. Available at https://who.int/foodsafety/publications/antimicrobials-fifth/en/ (Accessed 18 July 2019).Google Scholar
9.Health Canada: Veterinary Drugs Directorate (2009) Categorization of Antimicrobial Drugs Based on Importance in Human Medicine. Available at https://www.canada.ca/en/health-canada/services/drugs-health-products/veterinary-drugs/antimicrobial-resistance/categorization-antimicrobial-drugs-based-importance-human-medicine.html (Accessed 20 February 2018).Google Scholar
10.Li, XZ et al. (2007) β-Lactam resistance and β-lactamases in bacteria of animal origin. Veterinary Microbiology 121, 197214.Google Scholar
11.Clothier, KA and Byrne, BA (2016) Phenotypic and genotypic characterization of animal-source Salmonella Heidelberg isolates. Journal of Veterinary Medicine 2016, 6380890.Google Scholar
12.Shane, AL et al. (2017) 2017 infectious Diseases Society of America clinical practice guidelines for the diagnosis and management of infectious diarrhea. Clinical Infectious Diseases 65, e45e80.Google Scholar
13.Government of Canada. Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) 2016 Annual Report. Available at https://publications.gc.ca/collections/collection_2018/aspc-phac/HP2-4-2016-eng.pdf (Accessed 18 July 2019).Google Scholar
14.Rozwandowicz, M et al. (2018) Plasmids carrying antimicrobial resistance genes in Enterobacteriaceae. The Journal of Antimicrobial Chemotherapy 73, 11211137.Google Scholar
15.Agersø, Y et al. (2014) Spread of extended spectrum cephalosporinase-producing Escherichia coli clones and plasmids from parent animals to broilers and to broiler meat in a production without use of cephalosporins. Foodborne Pathogens and Disease 11, 740746.Google Scholar
16.Government of Canada (2018) National Enteric Surveillance Program (NESP) Annual Summary 2016. Available at https://publications.gc.ca/collections/collection_2018/aspc-phac/HP37-15-2016-eng.pdf (Accessed 18 July 2019).Google Scholar
17.Thomas, MK et al. (2013) Estimates of the burden of foodborne illness in Canada for 30 specified pathogens and unspecified agents, circa 2006. Foodborne Pathogens and Disease 10, 639648.Google Scholar
18.Thomas, MK et al. (2015) Estimates of foodborne illness–related hospitalizations and deaths in Canada for 30 specified pathogens and unspecified agents. Foodborne Pathogens and Disease 12, 820827.Google Scholar
19.World Health Organization (2015) Global Antimicrobial Resistance Surveillance System: Manual for Early Implementation. Available at https://apps.who.int/iris/bitstream/handle/10665/188783/9789241549400_eng.pdf?sequence=1 (Accessed 18 July 2019).Google Scholar
20.Garner, MJ et al. (2015) An assessment of antimicrobial resistant disease threats in Canada. PLoS ONE 10, e0125155.Google Scholar
21.Centers for Disease Control and Prevention (2017) National Enteric Disease Surveillance: Salmonella Annual Report 2015. Available at https://www.cdc.gov/nationalsurveillance/pdfs/2015_SalmonellaREPORT-508.pdf (Accessed 18 July 2019).Google Scholar
22.European Food Safety Authority and European Centre for Disease Prevention and Control (2018) The European Union summary report on trends and sources of zoonoses, zoonotic agents and food-borne outbreaks in 2017. EFSA Journal 16, 5500.Google Scholar
23.World Health Organization (WHO) (2014) Global Foodborne Infections Network 2009 and 2011. Available at https://www.who.int/gfn/activities/en/#databank (Accessed 31 August 2014).Google Scholar
24.Borsoi, A et al. (2011) Behavior of Salmonella Heidelberg and Salmonella Enteritidis strains following broiler chick inoculation: evaluation of cecal morphometry, liver and cecum bacterial counts and fecal excretion patterns. Brazilian Journal of Microbiology: publication of the Brazilian Society for Microbiology 42, 266273.Google Scholar
25.Statista: The Statistics Portal (2018) Per capita meat consumption in Canada from 1998 to 2016, by type (in pounds). Available at https://www.statista.com/statistics/442461/per-capita-meat-consumption-by-type-canada/ (Accessed 1 August 2018).Google Scholar
26.Government of Canada, Public Health Agency of Canada (2015) Foodbook report. Available at https://www.canada.ca/en/public-health/services/publications/food-nutrition/foodbook-report.html (Accessed 18 September 2018).Google Scholar
27.Government of Canada. Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) 2014 Annual Report. Available at https://www.canada.ca/en/public-health/services/surveillance/canadian-integrated-program-antimicrobial-resistance-surveillance-cipars/cipars-2014-annual-report-summary.html (Accessed 18 July 2019).Google Scholar
28.Government of Canada. Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) 2015 Annual Report. Available at https://www.canada.ca/en/public-health/services/surveillance/canadian-integrated-program-antimicrobial-resistance-surveillance-cipars/2015-annual-report-summary.html (Accessed 18 July 2019).Google Scholar
29.Government of Canada. Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) 2003 Annual Report. Available at https://publications.gc.ca/collections/Collection/H39-1-3-2003E.pdf (Accessed 18 July 2019).Google Scholar
30.Government of Canada. Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) 2004 Annual Report. Available at https://publications.gc.ca/collections/Collection/HP2-4-2004E.pdf (Accessed 18 July 2019).Google Scholar
31.Government of Canada. Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) 2005 Annual Report. Available at https://publications.gc.ca/collections/collection_2008/phac-aspc/HP2-4-2005E.pdf (Accessed 18 July 2019).Google Scholar
32.Government of Canada. Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) 2006 Annual Report. Available at https://publications.gc.ca/collections/collection_2009/aspc-phac/HP2-4-2006E.pdf (Accessed 18 July 2019).Google Scholar
33.Government of Canada. Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) 2007 Annual Report. Available at https://publications.gc.ca/collections/collection_2010/aspc-phac/HP2-4-2007-eng.pdf (Accessed 18 July 2019).Google Scholar
34.Government of Canada. Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) 2008 Annual Report. Available at https://www.canada.ca/en/public-health/services/surveillance/canadian-integrated-program-antimicrobial-resistance-surveillance-cipars/cipars-2008-annual-report.html (Accessed 18 July 2019).Google Scholar
35.Government of Canada. Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) 2009 Annual Report. Available at https://publications.gc.ca/collections/collection_2013/aspc-phac/HP2-4-2009-eng.pdf (Accessed 18 July 2019).Google Scholar
36.Government of Canada. Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) 2010 Annual Report. Available at https://publications.gc.ca/collections/collection_2014/aspc-phac/HP2-4-2010-eng.pdf (Accessed 18 July 2019).Google Scholar
37.Government of Canada. Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) 2011 Antimicrobial Resistance Short Report. Available at https://publications.gc.ca/collections/collection_2013/aspc-phac/HP2-4-2-2011-eng.pdf (Accessed 18 July 2019).Google Scholar
39.Government of Canada. Canadian Integrated Program for Antimicrobial Resistance Surveillance (CIPARS) 2013 Annual Report. Available at https://www.canada.ca/en/public-health/services/surveillance/canadian-integrated-program-antimicrobial-resistance-surveillance-cipars/cipars-2013-annual-report.html (Accessed 18 July 2019).Google Scholar
40.Majowicz, SE et al. (2010) International collaboration on enteric disease “burden of illness” studies. The global burden of nontyphoidal Salmonella gastroenteritis. Clinical Infectious Diseases 50, 882889.Google Scholar
41.Lyons, RW et al. (1980) An epidemic of resistant Salmonella in a nursery. Animal-to-human spread. Journal of the American Medical Association 243, 546547.Google Scholar
42.Bank, J (2005) Restaurant food handler-associated outbreak of Salmonella Heidelberg gastroenteritis identified by calls to a local telehealth service, Edmonton, Alberta, 2004. Canada Communicable Disease Report 31, 105110.Google Scholar
43.O'Mahony, M et al. (1990) An outbreak of Salmonella Heidelberg infection associated with a long incubation period. Journal of Public Health Medicine 12, 1921.Google Scholar
44.Currie, A et al. (2005) Frozen chicken nuggets and strips and eggs are leading risk factors for Salmonella Heidelberg infections in Canada. Epidemiology and Infection 133, 809816.Google Scholar
45.Chambers, JR et al. (1998) Salmonella prevalence in crops of Ontario and Quebec broiler chickens at slaughter. Poultry Science 77, 14971501.Google Scholar
46.Jones, FT, Rives, DV and Carey, JB (1995) Salmonella contamination in commercial eggs and an egg production facility. Poultry Science 74, 753757.Google Scholar
47.MacDougall, L et al. (2004) Frozen chicken nuggets and strips--a newly identified risk factor for Salmonella Heidelberg infection in British Columbia, Canada. Journal of Food Protection 67, 11111115.Google Scholar
48.Hennessy, TW et al. (2004) Egg consumption is the principal risk factor for sporadic Salmonella serotype Heidelberg infections: a case-control study in FoodNet sites. Clinical Infectious Diseases 38(suppl. 3), S237S243.Google Scholar
49.Centers for Disease Control and Prevention (CDC) (1986) Salmonella Heidelberg outbreak at a convention-New Mexico. Morbidity and Mortality Weekly Report 35, 91.Google Scholar
50.Gast, RK et al. (2011) The relationship between the numbers of Salmonella Enteritidis, Salmonella Heidelberg, or Salmonella hadar colonizing reproductive tissues of experimentally infected laying hens and deposition inside eggs. Avian Diseases 55, 243247.Google Scholar
51.Dorland William, A.N. (1988) Dorland's Illustrated Medical Dictionary, 27th Edn. Philadelphia: W.B. Saunders.Google Scholar
52.Roy, P et al. (2001) Pathogenicity of different serogroups of avian Salmonellae in specific-pathogen-free chickens. Avian Diseases 45, 922937.Google Scholar
53.Lintz, D et al. (1976) Nosocomial Salmonella epidemic. Archives of Internal Medicine 136, 968973.Google Scholar
54.Rice, PA, Craven, C and Wells, JG (1976) Salmonella Heidelberg enteritis and bacteremia. An epidemic on two pediatric wards. American Journal of Medicine 60, 509516.Google Scholar
55.Han, J et al. (2012) DNA sequence analysis of plasmids from multidrug resistant Salmonella enterica serotype Heidelberg isolates. PLoS ONE 7, e51160.Google Scholar
56.Hoffmann, M et al. (2014) Comparative genomic analysis and virulence differences in closely related Salmonella enterica serotype Heidelberg isolates from humans, retail meats, and animals. Genome Biology and Evolution 6, 10461068.Google Scholar
57.Suez, J et al. (2013) Virulence gene profiling and pathogenicity characterization of non-typhoidal Salmonella accounted for invasive disease in humans. PLoS ONE 8, e58449.Google Scholar
58.Edirmanasinghe, R et al. (2017) A whole genome sequencing approach to study cefoxitin-resistant Salmonella enterica serovar Heidelberg isolates from various sources. Antimicrobial Agents and Chemotherapy 61, AAC.0191916.Google Scholar
59.Antunes, P et al. (2016) Salmonellosis: the role of poultry meat. Clinical Microbiology and Infection : the Official Publication of the European Society of Clinical Microbiology and Infectious Diseases 22, 110121.Google Scholar
60.Stopforth, JD et al. (2008) Thermal inactivation D- and z-values of multidrug-resistant and non-multidrug-resistant Salmonella serotypes and survival in ground beef exposed to consumer-style cooking. Journal of Food Protection 71, 509515.Google Scholar
61.Oscar, T, Tasmin, R and Parveen, S (2013) Chlorine inactivation of nonresistant and antibiotic-resistant strains of Salmonella Typhimurium isolated from chicken carcasses. Journal of Food Protection 76, 10311034.Google Scholar
62.Yang, H, Li, Y and Johnson, MG (2001) Survival and death of Salmonella Typhimurium and Campylobacter jejuni in processing water and on chicken skin during poultry scalding and chilling. Journal of Food Protection 64, 770776.Google Scholar
63.Bush, K (2010) Alarming β-lactamase-mediated resistance in multidrug-resistant Enterobacteriaceae. Current Opinion in Microbiology 13, 558564.Google Scholar
64.Radford, D et al. (2018) Genomic and proteomic analyses of Salmonella enterica serovar Enteritidis identifying mechanisms of induced de novo tolerance to ceftiofur. Frontiers in Microbiology 9, 2123.Google Scholar
65.Folster, JP et al. (2010) Characterization of extended-spectrum cephalosporin-resistant Salmonella enterica serovar Heidelberg isolated from humans in the United States. Foodborne Pathogens and Disease 7, 181187.Google Scholar
66.Aslam, M et al. (2012) Phenotypic and genetic characterization of antimicrobial resistance in Salmonella serovars isolated from retail meats in Alberta, Canada. Food Microbiology 32, 110117.Google Scholar
67.Seiffert, SN et al. (2013) Extended-spectrum cephalosporin-resistant gram-negative organisms in livestock: an emerging problem for human health? Drug Resistance Updates 16, 2245.Google Scholar
68.Smet, A et al. (2010) Broad-spectrum β-lactamases among Enterobacteriaceae of animal origin: molecular aspects, mobility and impact on public health. FEMS Microbiology Reviews 34, 295316.Google Scholar
69.Mataseje, LF et al. (2010) Comparison of CMY-2 plasmids isolated from human, animal, and environmental Escherichia coli and Salmonella spp. from Canada. Diagnostic Microbiology and Infectious Disease 67, 387391.Google Scholar
70.Martin, LC et al. (2012) Characterization of bla CMY−2 plasmids in Salmonella and Escherichia coli isolates from food animals in Canada. Applied Environmental Microbiology 78, 12851287.Google Scholar
71.Daniels, JB et al. (2009) Role of ceftiofur in selection and dissemination of bla CMY−2-mediated cephalosporin resistance in Salmonella enterica and commensal Escherichia coli isolates from cattle. Applied and Environmental Microbiology 75, 36483655.Google Scholar
72.European Medicines Agency, Committee for Medicinal Products for Veterinary Use (CVMP) (2009) Revised reflection paper of the use of 3rd and 4th generation cephalosporins in food producing animals in the European Union: Development of resistance and impact on human and animal health.Google Scholar
73.Lutz, EA et al. (2011) Ceftiofur use in finishing swine barns and the recovery of fecal Escherichia coli or Salmonella spp. resistant to ceftriaxone. Foodborne Pathogens and Disease 8, 12291234.Google Scholar
74.Liebana, E et al. (2013) Public health risks of enterobacterial isolates producing extended-spectrum β-lactamases or AmpC β-lactamases in food and food-producing animals: an EU perspective of epidemiology, analytical methods, risk factors, and control options. Clinical Infectious Diseases 56, 10301037.Google Scholar
75.Rehman, MA et al. (2017) First detection of a fosfomycin resistance gene, fosA7, in Salmonella enterica serovar Heidelberg isolated from broiler chickens. Antimicrobial Agents and Chemotherapy 61, e00410e00417.Google Scholar
76.Du, XD et al. (2012) Tn1548-associated armA is co-located with qnrB2, aac(6)-Ib-cr and bla CTX−m−3 on an IncFII plasmid in a Salmonella enterica subsp. enterica serovar Paratyphi B strain isolated from chickens in China. Journal of Antimicrobial Chemotherapy 67, 246248.Google Scholar
77.Perez-Moreno, MO et al. (2013) β-Lactamases, transferable quinolone resistance determinants, and class 1 integron-mediated antimicrobial resistance in human clinical Salmonella enterica isolates of non-Typhimurium serotypes. International Journal of Medical Microbiology 303, 2531.Google Scholar
78.Doublet, B et al. (2005) The Salmonella genomic island 1 is an integrative mobilizable element. Journal of Molecular Microbiology 55, 19111924.Google Scholar
79.Mather, AE et al. (2011) The prevalences of Salmonella genomic island 1 variants in human and animal Salmonella Typhimurium DT104 are distinguishable using a Bayesian approach. PLoS ONE 6, e27220.Google Scholar
80.Moreno Switt, AI et al. (2012) Identification and characterization of novel Salmonella mobile elements involved in the dissemination of genes linked to virulence and transmission. PLoS ONE 7, e41247.Google Scholar
81.Deblais, L et al. (2018) Comparative genomic studies of Salmonella Heidelberg isolated from chicken and Turkey-associated farm environmental samples. Frontiers in Microbiology 9, 1841.Google Scholar
82.Foley, SL et al. (2011) Population dynamics of Salmonella enterica serotypes in commercial egg and poultry production. Applied and Environmental Microbiology 77, 42734279.Google Scholar
83.Liakopoulos, A et al. (2016) Extended-spectrum cephalosporin-resistant Salmonella enterica serovar Heidelberg Strains, the Netherlands(1). Emerging infectious diseases 22, 12571261.Google Scholar
84.Folster, JP et al. (2017) Characterization of resistance genes and plasmids from outbreaks and illness clusters caused by Salmonella resistant to ceftriaxone in the United States, 2011–2012. Microbial Drug Resistance 23, 188193.Google Scholar
85.Campos, J et al. (2018) Imported poultry meat as a source of extended-spectrum cephalosporin-resistant CMY-2-producing Salmonella Heidelberg and Salmonella Minnesota in the European Union, 2014–2015. International Journal of Antimicrobial Agents 51, 151154.Google Scholar
86.Zhang, Y and LeJeune, JT (2008) Transduction of bla CMY−2, tet(A), and tet(b) from Salmonella enterica subspecies enterica serovar Heidelberg to S. Typhimurium. Veterinary Microbiology 129, 418425.Google Scholar
87.Oladeinde, A et al. (2018) Hotspot mutations and ColE1 plasmids contribute to the fitness of Salmonella Heidelberg in poultry litter. PLoS ONE 13, e0202286.Google Scholar
88.Poppe, C et al. (2005) Acquisition of resistance to extended-spectrum cephalosporins by Salmonella enterica subsp. enterica serovar Newport and Escherichia coli in the turkey poult intestinal tract. Applied and Environmental Microbiology 71, 11841192.Google Scholar
89.Winokur, PL et al. (2001) Evidence for transfer of CMY-2 AmpC β-lactamase plasmids between Escherichia coli and Salmonella isolates from food animals and humans. Antimicrobial Agents and Chemotherapy 45, 27162722.Google Scholar
90.Prescott, JF (2013) Beta-lactam antibiotics: cephalosporins. In Giguere, S, Prescott, JF and Dowling, PM (eds), Antimicrobial Therapy in Veterinary Medicine. Ames, Iowa, USA: John Wiley & Sons, Inc, pp. 153173.Google Scholar
91.Compendium of Veterinary Products-Canada Edition. Ceftiofur.Google Scholar
92.Hofacre, CL, Fricke, JA and Inglis, T (2013) Antimicrobial drug use in poultry. In Giguere, S, Prescott, JF and Dowling, PM (eds), Antimicrobial Therapy in Veterinary Medicine Ames. Iowa, USA: John Wiley & Sons, Inc, pp. 569587.Google Scholar
93.Tell, L et al. (1998) Pharmacokinetics of ceftiofur sodium in exotic and domestic avian species. Journal of Veterinary Pharmacology and Therapeutics 21, 8591.Google Scholar
94.Kinney, N and Robles, A (eds) (1994) The effect of mixing antibiotics with Marek's Disease vaccine. Proceeding of the 43rd Western Poultry Disease Conference; Sacramento, California, USA.Google Scholar
95.Pohjanvirta, T, Kaukonen, E, Ikonen, I, Vahanikkila, N and Pelkonen, S (eds) (2013) Extended-spectrum β-lactamase producing (ESBL) in Finnish broiler production chain despite low antibiotic usage. Proceedings of the XVIIIth World Veterinary Poultry Association Congress; 2013 August 19–23; Nantes, France.Google Scholar
96.Boulianne, M, Dutil, L and Daignault, D (eds) (2005) Results from a large poultry study in Quebec examining antimicrobial use and antimicrobial resistance. Agriculture's Role in Managing Antimicrobial Resistance Conference; 2005; Toronto, Ontario, Canada.Google Scholar
97.Dutil, L et al. (2010) Ceftiofur resistance in Salmonella enterica serovar Heidelberg from chicken meat and humans, Canada. Emerging Infectious Diseases 16, 4854.Google Scholar
98.Chicken Farmers of Canada (2018) Chicken farmers of Canada's responsible antimicrobial use strategy. Available at https://www.chickenfarmers.ca/wp-content/uploads/2018/01/AMU-Magazine_ENG_web-1.pdf (Accessed 13 June 2018).Google Scholar
99.Chicken Farmers of Canada et al. (2013) Preventative use of Category I antibiotics in the poultry and egg sectors. Available at https://bcchicken.ca/wp-content/uploads/2012/11/Antibiotic-FAQ-2013.pdf (Accessed 18 July 2019).Google Scholar
100.Klein, NC and Cunha, BA (1995) Third-generation cephalosporins. Medical Clinics of North America 79, 705719.Google Scholar
101.World Health Organization (WHO) (2017) 20th WHO Model List of Essential Medicines. Available at https://www.who.int/medicines/publications/essentialmedicines/en/ (Accessed 18 July 2019).Google Scholar
102.Fresenius Kabi Canada Ltd (2015) Ceftriaxone for Injection.Google Scholar
103.Klochko, A and Wallace, MR (2017) Salmonella Infection (Salmonellosis). Available at https://emedicine.medscape.com/article/228174-overview (Accessed 1 May 2018).Google Scholar
104.Hohmann, EL and Acheson, D (2001) Nontyphoidal salmonellosis. Clinical Infectious Diseases 32, 263269.Google Scholar
105.Government of Alberta. Alberta Drug Benefit List (ADBL). Available at https://www.health.alberta.ca/services/drug-benefit-list.html (Accessed 1 March 2018).Google Scholar
106.Government of Ontario (2016) Ontario Drug Benefit Formulary/Comparative Drug Index. Available at https://www.formulary.health.gov.on.ca/formulary/ (Accessed 1 March 2018).Google Scholar
108.Government of Manitoba. Drug Benefits and Interchangeability Formulary. Available at https://www.gov.mb.ca/health/mdbif/index.html (Accessed 1 March 2018).Google Scholar
109.Government of Saskatchewan (2018) Saskatchewan Online Formulary Database. Available at https://formulary.drugplan.ehealthsask.ca/ (Accessed 1 March 2018).Google Scholar
110.Government of Canada, Public Health Agency of Canada. Canadian Antimicrobial Resistance Surveillance System (CARSS); Human Antimicrobial Use 2010–2016.Google Scholar
111.Chen, HM et al. (2013) Nontyphoid Salmonella infection: microbiology, clinical features, and antimicrobial therapy. Pediatrics and Neonatology 54, 147152.Google Scholar
112.Government of Canada (2017) Canadian Antimicrobial Resistance Surveillance System (CARSS) 2017 Report. Available at https://www.canada.ca/en/public-health/services/publications/drugs-health-products/canadian-antimicrobial-resistance-surveillance-system-2017-report-executive-summary.html (Accessed 18 July 2019).Google Scholar
113.Chicken Farmers of Canada (CFC) (2018) Chicken Data Booklet 2017. Available at https://www.chickenfarmers.ca/wp-content/uploads/2017/06/2017-Data-Booklet_NEW.pdf (Accessed 1 May 2018).Google Scholar
114.Government of Canada, Agriculture and Agri-Food Canada (2017) Canada's poultry and egg industry profile. Available at https://www.agr.gc.ca/eng/industry-markets-and-trade/canadian-agri-food-sector-intelligence/poultry-and-eggs/poultry-and-egg-market-information/industry-profile/?id=1384971854389 (Accessed 2 July 2018).Google Scholar
115.Government of Canada, Agriculture and Agri-Food Canada (2018) Annual Poultry Import/Export Report. Available at https://www.agr.gc.ca/eng/industry-markets-and-trade/canadian-agri-food-sector-intelligence/poultry-and-eggs/poultry-and-egg-market-information/imports-and-exports/?id=1384971854403 (Accessed 2 July 2018).Google Scholar
116.Government of Canada, Global Affairs Canada (2016) Canada's poultry Import Regime. Available at https://www.international.gc.ca/controls-controles/report-rapports/2016.aspx?lang=eng#a2_2_2; (Accessed May 2018).Google Scholar
117.Government of Canada. Public Health Notice – Outbreaks of Salmonella infections linked to raw chicken, including frozen raw breaded chicken products. Available at https://www.canada.ca/en/public-health/services/public-health-notices/2018/outbreaks-salmonella-infections-linked-raw-chicken-including-frozen-raw-breaded-chicken-products.html (Accessed 15 July 2019).Google Scholar
118.Government of Canada, Canadian Food Inspection Agency (2018) Hatchery Review: Imports/Exports. Available at https://aimis-simia.agr.gc.ca/rp/index-eng.cfm?action=pR&r=209&pdctc=; (Accessed 1 May 2018).Google Scholar
119.Farm Food 360 (2018) Quick Canadian Turkey Facts. Available at https://www.farmfood360.ca/#turkey-tile; (Accessed 14 August 2018).Google Scholar
120.World Health Organization (WHO) (2009) Salmonella and Campylobacter in chicken meat: meeting report. Available at https://www.who.int/foodsafety/publications/mra19/en/ (Accessed 1 May 2018).Google Scholar
121.Baron, S et al. (2014) Impact of third-generation cephalosporin administration in hatcheries on fecal E. coli antimicrobial resistance in broilers and layers. Antimicrobial Agents and Chemotherapy 58, 54285434.Google Scholar
122.Merchant, LE et al. (2012) Characterization of antibiotic-resistant and potentially pathogenic Escherichia coli from soil fertilized with litter of broiler chickens fed antimicrobial-supplemented diets. Canadian Journal of Microbiology 58, 10841098.Google Scholar
123.Yang, Q et al. (2014) Distribution of antibiotic-resistant bacteria in chicken manure and manure-fertilized vegetables. Environmental Science and Pollution Research 21, 12311241.Google Scholar
124.Chapman, B et al. (2016) A review of quantitative microbial risk assessment and consumer process models for Campylobacter in broiler chickens. Microbial Risk Analysis 2, 315.Google Scholar
125.Hartnett, E (2001) Human infection with Campylobacter spp. from chicken consumption: A quantitative risk assessment. Glasgow, UK: University of Strathclyde.Google Scholar
126.Nauta, M et al. (2005) RIVM Repository: Risk assessment of campylobacter in the Netherlands via broiler meat and other routes; RIVM report 250911006. Available at https://rivm.openrepository.com/rivm/handle/10029/258558 (Accessed 19 September 2018).Google Scholar
127.Otto, SJ et al. (2014) Estimating the number of human cases of ceftiofur-resistant Salmonella enterica serovar Heidelberg in Quebec and Ontario, Canada. Clinical Infectious Diseases 59, 12811290.Google Scholar
128.Thomas, MK et al. (2008) Burden of acute gastrointestinal illness in Canada, 1999–2007: interim summary of NSAGI activities. Canada Communicable Disease Report 34, 815.Google Scholar
129.Vugia, DJ et al. (2004) Invasive Salmonella infections in the United States, FoodNet, 1996–1999: incidence, serotype distribution, and outcome. Clinical Infectious Diseases 38(suppl. 3), S149S156.Google Scholar
130.Kennedy, M et al. (2004) Hospitalizations and deaths due to Salmonella infections, FoodNet, 1996–1999. Clinical Infectious Diseases 38(suppl. 3), S142S148.Google Scholar
131.Centers for Disease Control and Prevention (2014) Multistate outbreak of multidrug-resistant Salmonella Heidelberg infections linked to Foster Farms brand chicken (Final Update). Available at https://www.cdc.gov/salmonella/heidelberg-10-13/index.html (Accessed August 2018).Google Scholar
132.Owens, MD and Warren, DA (2018) Salmonella infection in emergency medicine. Available at https://emedicine.medscape.com/article/785774-overview (Accessed May 2018).Google Scholar
133.Chen, P et al. (2012) A simple scoring algorithm predicting vascular infections in adults with nontyphoid Salmonella bacteremia. Clinical Infectious Diseases 55, 194200.Google Scholar
134.Jackson, BR et al. (2013) Outbreak-associated Salmonella enterica serotypes and food commodities, United States, 1998–2008. Emerging Infectious Diseases 19, 12391244.Google Scholar
135.Rebolledo, J et al. (2014) International outbreak investigation of Salmonella Heidelberg associated with in-flight catering. Epidemiology and Infection 142, 833842.Google Scholar
136.Centers for Disease Control and Prevention (CDC) (2013) Outbreak of Salmonella Heidelberg infections linked to a single poultry producer – 13 states, 2012–2013. Morbidity and Mortality Weekly Report 62, 553556.Google Scholar
137.Centers for Disease Control and Prevention (2011) Multistate outbreak of human Salmonella Heidelberg infections linked to ground turkey (final update). Available at https://www.cdc.gov/salmonella/2011/ground-turkey-11-10-2011.html (Accessed May 2018).Google Scholar
138.Centers for Disease Control and Prevention (CDC) (2018) Multistate outbreak of multidrug-resistant Salmonella Heidelberg infections linked to contact with dairy calves (final update). Available at https://www.cdc.gov/salmonella/heidelberg-11-16/index.html (Accessed May 2018).Google Scholar
139.Varma, JK et al. (2005) Antimicrobial-resistant nontyphoidal Salmonella is associated with excess bloodstream infections and hospitalizations. Journal of Infectious Diseases 191, 554561.Google Scholar
140.Krueger, AL et al. (2014) Clinical outcomes of nalidixic acid, ceftriaxone, and multidrug-resistant nontyphoidal Salmonella infections compared with pansusceptible infections in FoodNet sites, 2006–2008. Foodborne Pathogens and Disease 11, 335341.Google Scholar
141.Angelo, KM et al. (2016) Antimicrobial resistance among nontyphoidal Salmonella isolated from blood in the United States, 2003–2013. The Journal of Infectious Diseases 214, 15651570.Google Scholar
142.Crump, JA et al. (2011) Antimicrobial resistance among invasive nontyphoidal Salmonella enterica isolates in the United States: National Antimicrobial Resistance Monitoring System, 1996 to 2007. Antimicrobial Agents and Chemotherapy 55, 11481154.Google Scholar
143.Varma, JK et al. (2005) Hospitalization and antimicrobial resistance in Salmonella outbreaks, 1984–2002. Emerging Infectious Diseases 11, 943946.Google Scholar
144.Helms, M et al. (2002) Excess mortality associated with antimicrobial drug-resistant Salmonella Typhimurium. Emerging Infectious Diseases 8, 490495.Google Scholar
145.Helms, M, Simonsen, J and Molbak, K (2004) Quinolone resistance is associated with increased risk of invasive illness or death during infection with Salmonella serotype Typhimurium. Journal of Infectious Diseases 190, 16521654.Google Scholar
146.Weinberger, M and Keller, N (2005) Recent trends in the epidemiology of non-typhoid Salmonella and antimicrobial resistance: the Israeli experience and worldwide review. Current Opinion in Infectious Diseases 18, 513521.Google Scholar
147.Martin, LJ et al. (2004) Increased burden of illness associated with antimicrobial-resistant Salmonella enterica serotype Typhimurium infections. Journal of Infectious Diseases 189, 377384.Google Scholar
148.Solghan, SM et al. (2010) Multidrug-resistant nontyphoidal Salmonella in New York state's foodborne diseases active surveillance network counties. Foodborne Pathogens and Disease 7, 167173.Google Scholar
149.Russell Barlow (2012) Emerging nontyphoidal Salmonella antibiotic resistance in Oregon 2004–2009: Risk factors and trends. Oregon: Oregon Health and Science University: OHSU Digital Commons.Google Scholar
150.Broughton, EI et al. (2010) Higher hospital costs and lengths of stay associated with quinolone-resistant Salmonella enterica infections in Hong Kong. Journal of Public Health 32, 165172.Google Scholar
151.Wang, JY et al. (2006) Bacteraemia due to ciprofloxacin-resistant Salmonella enterica serotype Choleraesuis in adult patients at a university hospital in Taiwan, 1996–2004. Epidemiology and Infection 134, 977984.Google Scholar
152.Gupta, A et al. (2003) Emergence of multidrug-resistant Salmonella enterica serotype Newport infections resistant to expanded-spectrum cephalosporins in the United States. The Journal of Infectious Diseases 188, 17071716.Google Scholar
153.Holmberg, SD, Wells, JG and Cohen, ML (1984) Animal-to-man transmission of antimicrobial-resistant Salmonella: investigations of U.S. Outbreaks, 1971–1983. Science 225, 833835.Google Scholar
154.Barnass, S et al. (1989) The tangible cost implications of a hospital outbreak of multiply-resistant Salmonella. Epidemiology and Infection 103, 227234.Google Scholar
155.European Food Safety Authority Panel on Biological Hazards (2011) Scientific opinion on the public health risks of bacterial strains producing extended-spectrum β-lactamases and/or AmpC β-lactamases in food and food-producing animals. EFSA Journal 9, 2322.Google Scholar
156.Aarestrup, FM, Wegener, HC and Collignon, P (2008) Resistance in bacteria of the food chain: epidemiology and control strategies. Expert Review of Anti-infective Therapy 6, 733750.Google Scholar
157.Canadian Veterinary Medical Association (2008) Antimicrobial Prudent Use Guidelines 2008 for beef cattle, dairy cattle, poultry and swine. Available at https://www.canadianveterinarians.net/ (Accessed June 2018).Google Scholar
158.Gibson, AM and Roberts, TA (1986) The effect of pH, water activity, sodium nitrite and storage temperature on the growth of enteropathogenic Escherichia coli and Salmonellae in a laboratory medium. International Journal of Food Microbiology 3, 183194.Google Scholar
159.Murphy, RY et al. (2002) Thermal inactivation D- and z-values of Salmonella serotypes and Listeria innocua in chicken patties, chicken tenders, franks, beef patties, and blended beef and turkey patties. Journal of Food Protection 65, 5360.Google Scholar
160.Government of Canada, Canadian Food Inspection Agency (2018) Notice to Industry- New requirements to reduce Salmonella to below detectable amounts in frozen raw breaded chicken products. Available at http://inspection.gc.ca/food/meat-and-poultry-products/program-changes/2018-07-12/eng/1520884138067/1520884138707 (Accessed August 2018).Google Scholar
161.Ouckama, R. Efficacy of Ontario broiler breeder Salmonella vaccination program. personal communication.Google Scholar
162.Compendium of Veterinary Products-Canada Edition (2018) Salmonella vaccines in poultry. Available at https://cdmv.cvpservice.com/ (Accessed 1 August 2018).Google Scholar
163.Collignon, P et al. (2013) Human deaths and third-generation cephalosporin use in poultry, Europe. Emerging infectious diseases 19, 13391340.Google Scholar
164.European Medicines Agency (2012) Cephalosporins Article 35 referral Annexes I, II, III. Available at https://www.ema.europa.eu/docs/en_GB/document_library/Referrals_document/cephalosporins_35/WC500121720.pdf (Accessed July 2018).Google Scholar
165.Food and Drug Administration (2012) New Animal Drugs; Cephalosporin Drugs; Extralabel Animal Drug Use; Order of Prohibition: Document 77 FR 735. Available at https://www.federalregister.gov/documents/2012/01/06/2012-35/new-animal-drugs-cephalosporin-drugs-extralabel-animal-drug-use-order-of-prohibition (Accessed April 2018).Google Scholar
166.British Poultry Council (2017) BPC Antibiotic Stewardship Report. Available at https://www.britishpoultry.org.uk/download/bpc-antibiotic-stewardship-report-2017/ (Accessed July 2018).Google Scholar
167.World Organisation for Animal Health (OIE) (2015) OIE List of Antimicrobial Agents of Veterinary Importance. Available at https://www.oie.int/doc/ged/D9840.PDF (Accessed June 2018).Google Scholar
168.Shigemura, H et al. (2018) Decrease in the prevalence of extended-spectrum cephalosporin-resistant Salmonella following cessation of ceftiofur use by the Japanese poultry industry. International Journal of Food Microbiology 274, 4551.Google Scholar
169.Grignon-Boutet, R et al. (2008) Health Canada's policy on extra-label drug use in food-producing animals in Canada. Canadian Veterinary Journal 49, 689693.Google Scholar
170.Terry, L. Foster Farms: Mexico bans chicken imports from 3 plants over Salmonella outbreak. The Oregonian October 24, 2013.Google Scholar
171.Food Poisoning Bulletin (2018) Salmonella lawyers obtain $6.5 million verdict in lawsuit against Foster Farms. Available at https://foodpoisoningbulletin.com/2018/salmonella-lawyers-win-6-5-million-verdict-against-foster-farms-5-year-old-client/ (Accessed September 20 2018).Google Scholar
172.EFSA BIOHAZ Panel (EFSA Panel on Biological Hazards) (2019) Scientific Opinion on the Salmonella control in poultry flocks and its public health impact.Google Scholar
173.Bekal, S et al. (2016) Usefulness of high-quality core genome single-nucleotide variant analysis for subtyping the highly clonal and the most prevalent Salmonella enterica serovar Heidelberg clone in the context of outbreak investigations. Journal of Clinical Microbiology 54, 289295.Google Scholar
174.Usongo, V et al. (2018) Impact of the choice of reference genome on the ability of the core genome SNV methodology to distinguish strains of Salmonella enterica serovar Heidelberg. PLoS ONE 13, e0192233.Google Scholar
175.Vincent, C et al. (2018) Comparison of advanced whole genome sequence-based methods to distinguish strains of Salmonella enterica serovar Heidelberg involved in foodborne outbreaks in Quebec. Food Microbiology 73, 99110.Google Scholar
176.Smith, B, Collineau, L and Chapman, B (eds) (2018) Integrating whole genome sequencing data into quantitative microbial risk assessment modeling: a case study for Salmonella Heidelberg resistant to third-generation cephalosporins in Canadian broiler chicken production. One Health Congress; June 22–25, 2018; Saskatoon, Canada: Public Health Agency of Canada.Google Scholar
Figure 0

Fig. 1. Percentages of isolates recovered and percentages of Salmonella spp. and S. Heidelberg isolates resistant to ceftiofur/ceftriaxone, by food animal species.

Figure 1

Fig. 2. Percentage of ceftiofur/ceftriaxone-resistant Salmonella Heidelberg from retail poultry and humans, and ceftiofur use in chicken flocks.

Figure 2

Fig. 3. Human consumption of 3rd and 4th generation cephalosporins, from 2010 to 2016, in Canada.

Figure 3

Table 1. Pre- and post-harvest options for controlling ceftiofur/ceftriaxone-resistant Salmonella Heidelberg through the poultry production chain

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