INTRODUCTION
In order to establish baseline and comparable data for all Member States a series of baseline prevalence surveys have been conducted within the European Union (EU), including Salmonella in laying-hen flocks [1] and Salmonella in broiler flocks [2]. In 2008, under Decision 2007/516/EC, an EU-wide baseline survey was performed to determine the prevalence of Campylobacter in broiler batches and Campylobacter and Salmonella on broiler carcases. This is the first baseline survey to include Campylobacter and broiler carcases intended for human consumption.
Campylobacter infections in people continue to be a major public health concern in the UK and Europe. Campylobacter is the most frequently reported infectious intestinal disease in people in the EU and infections are associated with considerable morbidity and economic loss [Reference Tam3–Reference Roberts5]. A rise in the number of confirmed cases of human campylobacteriosis has been reported in the EU [6]. In 2010 in England and Wales alone, there were 62 684 laboratory-confirmed human cases of campylobacteriosis, a rise of 8·5% compared to 2009 [7]. Under-ascertainment of infectious intestinal disease is well recognized, hence the true population burden is likely to be far greater [Reference Tam3, Reference Wheeler8].
The handling or consumption of undercooked chicken is considered to be a major risk factor for Campylobacter infections in humans [Reference Pires9–Reference Wingstrand11]. Broiler flocks are considered to be a natural host for Campylobacter spp. and colonized birds can carry a very high Campylobacter load in their gastrointestinal tract. Broiler flocks are frequently colonized with Campylobacter spp., the prevalence of Campylobacter in UK broiler flocks has been previously estimated at 34·2% [Reference Ellis-Iversen12], 42% [Reference McDowell13] and 81·6% [Reference Evans and Sayers14] and studies have found Campylobacter on 65% [15] and 91% [Reference Moran, Scates and Madden16] of chicken carcases sampled at retail sale.
The control of Campylobacter has primarily focused on reducing the presence and numbers of Campylobacter in poultry flocks. Indeed previous research has estimated that a 2-log reduction in the number of campylobacters on chicken carcases would lead to a 30-fold reduction in human cases associated with the consumption of chicken [Reference Rosenquist17]. Procedures to control or limit the contamination of poultry carcases with Campylobacter during processing are available [Reference Boysen and Rosenquist18]; however, they are limited by their practicality, restrictions under EU food legislation or acceptability to consumers [Reference Katsma19].
A voluntary industry target has recently been agreed with the UK government to reduce Campylobacter in UK-produced chickens by 2015 [20]. The target is based on Campylobacter counts (enumeration) on carcases and aims to reduce the levels of the most highly contaminated chickens at the end of the slaughter process (post-chill). The target focuses on decreasing the proportion of birds in the most contaminated group [those with Campylobacter counts of >1000 colony-forming units per gram (c.f.u./g)]. In light of this new target we have examined the characteristics of the most contaminated slaughter batches to identify any risks associated with such contamination.
This paper reports the Campylobacter results from a UK-wide survey. The aims of the study were to estimate the prevalence of Campylobacter in the caeca of broiler flocks and the prevalence of Campylobacter on broiler carcases and to identify factors associated with the most heavily Campylobacter-contaminated carcases.
METHODS
Sampling plan
The survey was conducted over 12 months from January to December 2008. The survey design and sampling methods used conformed with the technical specifications annexed to Decision 2007/516/EC. To avoid seasonal bias sampling was distributed equally over the year.
Study population
The UK population for the survey was defined in December 2007, at this time 73 slaughterhouses operated under Regulation (EC) No. 853/2004, with a combined annual throughput of about 822 million chickens. This study recruited 36 slaughterhouses into the survey, with a combined throughput of 722 million chickens, representing 88% of the annual kill in the UK. Two of the 36 slaughterhouses recruited to the survey closed during 2008, slaughter batches that were due to be sampled from these slaughterhouses were assigned to the relevant slaughterhouses in their respective companies ensuring that the original estimate of 88% representation of annual kill in the UK was maintained.
Samples and schedules
The UK had a target sample size of 384 slaughter batches, as set by the EU, based on an expected prevalence of 50% with an accuracy of 5% and a confidence level of 95%. A slaughter batch was defined as a quantity of broilers that had been raised on the same farm premises in the same shed/enclosure and delivered to the abattoir in the same vehicle. In anticipation of non-responses and slaughter batch samples that did not meet the eligibility criteria for the survey, the sample size was increased to 451 slaughter batches to ensure the survey target was met.
Selection of the slaughterhouse for each sample was randomized and weighted; as such the probability of a high throughput abattoir being selected to sample was higher compared with a lower throughput plant. The procedure for selecting the random sample was set up in Microsoft® Access. The sampling day within each month was randomly chosen from the days the selected slaughterhouse was open. The individual slaughter batch to be sampled was randomly chosen from the total number of batches that the selected slaughterhouse processed daily, reserve batch numbers were also scheduled in case the first selected batch was not suitable for sampling. Samples scheduled for collection during the Christmas and Easter holiday periods were reallocated to other dates within the same month.
Of the 36 abattoirs participating in the survey, a total of 25 abattoirs, associated with 17 parent companies, were randomly selected to take part in the survey. The target of 32 eligible batches per month was met or exceeded for all months of the survey except for January and April when 31 eligible batches were sampled.
Sample collection
Staff trained in standard sampling procedures collected the samples. In England, Wales and Scotland samples were collected by the Meat Hygiene Service (MHS), an executive agency of the Food Standards Agency (FSA). Samples were collected in Northern Ireland by the Veterinary Public Health Unit of the Department of Agriculture and Rural Development (DARD).
From each randomly selected slaughter batch, 10 pairs of intact and full caeca were collected at random from the selected slaughter batch. Pairs of caeca were collected at evisceration, the first part of the slaughter batch was not sampled (to minimize risk of unknowingly including a bird from a different batch) and caeca from consecutive birds were not collected. A single carcase with neck skin was collected at random from the same slaughter batch. The carcase was collected post-chilling but pre-processing and was not taken from the first part of the slaughter batch (again to minimize the risk of unknowingly including a bird from a different batch).
All caeca and carcases were individually wrapped and then transported to the laboratory with minimum delay in an insulated shipping box that held samples at between 2 °C and 8 °C for up to 72 h.
Data collection
Each sample collected at the slaughterhouse was accompanied by a standardized data questionnaire completed by the sampler that collected information on attributes that could affect the Campylobacter status of the slaughter batch, including age of birds, farm name and address and flock mortality data. No data on processing variables were collected. A second standardized questionnaire was sent to the poultry company contact at the abattoir following sampling to obtain details on flock depopulation status. If no information was available on previous removal of birds from the house of the sampled slaughter batch, or if the information was unclear, the ‘previous depopulation’ status for that flock was considered unknown.
Eligibility criteria
Samples that were tested for Campylobacter and Salmonella within 80 h of collection and which included ten caeca samples and a carcase whose temperature was ⩽8 °C upon arrival at the laboratory were included in the analysis according to EU guidelines. Only slaughter batches raised as single flocks rather than mixed from more than one flock were eligible for inclusion in the analysis.
Of the 451 slaughter batches scheduled for sampling 445 batches were sampled and of these, 400 slaughter batches were eligible for inclusion in the survey. Of the 45 slaughter batches classed as ineligible, according to EU baseline survey criteria, most batches (n = 33) were excluded because the samples had exceeded the 80-h deadline between sample collection and processing. A further nine slaughter batches were ineligible because the carcase sample was missing and the remaining three slaughter batches were ineligible because one batch was from multiple houses, one was not tested for Salmonella and one of the carcases had a temperature >8 °C.
Microbiological methods
The culture of caecal and carcase samples for Campylobacter was performed by the Food and Environmental Safety (FES) Department, VLA (GB) and by the Agri-Food and Biosciences Institute (AFBI), Stormont Veterinary Laboratory (NI).
Caeca – Campylobacter detection
The method used for the detection and speciation of Campylobacter spp. in caecal samples was in accordance with the technical specifications set out in Annex I of the Commission Decision 2007/516/EC. Briefly, the contents of ten caeca per slaughter batch (one caecum per bird) were removed and pooled into one composite sample. The pooled sample was streaked directly onto modified charcoal cefoperazone deoxycholate agar (mCCDA) (CM739 and supplement SR155, Oxoid, UK). Cultures were incubated in a microaerobic atmosphere (84% N2/10% CO2/6% O2) at 41·5 ± 1 °C and examined for typical Campylobacter colonies after 24–48 h.
Where possible, five colonies showing typical morphology for Campylobacter were taken from each mCCDA plate and subcultured onto 7% sheep blood agar (CM0055, Oxoid, 7% sheep blood and 1000 mg cyclohexamide/litre). All suspect cultures were confirmed as thermophilic Campylobacter spp. by colony morphology, cell morphology and motility, and catalase and oxidase activity and growth conditions in accord with ISO 10272-1:2006. A single Campylobacter spp. colony from each caecal sample was identified to species level by hippurate and indoxylacetate hydrolysis and the sensitivity profile to cephalothin and nalidixic acid according to ISO 10272-1:2006.
A slaughter batch was considered positive if at least one confirmed colony of Campylobacter spp. was isolated.
Carcase – Campylobacter detection
A 27-g portion of neck and breast skin from each carcase was added to 243 ml buffered peptone water (BPW) and then treated in a stomacher for 1 min to create the initial carcase suspension for further testing.
The detection of Campylobacter spp. from carcases was as detailed in the EC technical specifications (2007/516/EC) and in accord with ISO 10272-1:2006. Briefly, 10 ml initial carcase suspension was inoculated into 90 ml Bolton enrichment broth (CM0983 and supplement SR0183e, Oxoid and 5% lysed horse blood). The broth was incubated microaerobically at 37 ± 3 °C for 4–6 h followed by 41·5 °C for 44 h. Samples of broth culture were then plated onto mCCDA and Preston agar (CM0689 and supplement SR0117, Oxoid, and 5% lysed horse blood). Plates were then incubated and examined for Campylobacter as described for caecal culture above. All colonies confirmed as Campylobacter spp. were fully identified to species level as indicated above.
In this study a carcase sample was declared positive if at least one confirmed colony of Campylobacter spp. (from either mCCDA or Preston agar) was isolated.
Carcase – Campylobacter enumeration
The method used for the enumeration of Campylobacter spp. on carcases was as described in EC technical specifications (2007/516/EC) and ISO 10272:2006 (part 2) and ISO 7218:2007E. In brief, 10 ml of the initial carcase suspension was tenfold serially diluted in phosphate-buffered saline, 0·1 m (pH 7·1), until a 10−5 dilution was created. For each dilution (including initial carcase suspension), 0·1 ml was plated onto mCCDA. Additionally 1-ml aliquots of the initial carcase suspension were spread over a pair of large mCCDA plates (140 mm diameter) to obtain a limit of detection of 5 c.f.u./g. Plates were microaerobically incubated at 41·5 °C for 24–48 h. Campylobacter colonies were counted and confirmed as Campylobacter spp. according to ISO 10272-1:2006 and the final calculation and reporting of Campylobacter c.f.u./g of neck and breast skin were as described in ISO 7218:2007E. Briefly, suspect Campylobacter colonies were counted from the plate inoculated with the lowest dilution that contained between 10 and 150 colonies and from the plate inoculated with the consecutive dilution. When colonies were counted from 1-ml plates, only the two duplicate plates were counted. Up to 5 colonies per counted plate were confirmed as Campylobacter spp. Based on the percentage of confirmed campylobacters per plate, the counts were adjusted and a final count calculated. The final number of campylobacters present in the sample was calculated as a weighted mean from the two consecutive dilutions, using the formula:
$$N \equals {{\sum C } \over {V \times \lpar 1 \times n1\rpar \plus \lpar 0{\cdot}1 \times n2\rpar \times d}}$$where ΣC is the sum of the colonies on the two plates after adjustment; V is the volume of inoculum, n1 and n2 are the first and second dilution counted plates and d is the lowest dilution counted.
A result was valid if at least 10 Campylobacter spp. colonies were counted on a minimum of one plate. If the calculation was based on a count between four and nine Campylobacter spp. colonies on a plate, an estimated number of Campylobacter spp./g was reported. If the calculation was based on a count of <4 Campylobacter spp./plate, then the result was reported as containing Campylobacter but at a level of <40 c.f.u./g of sample. A single colony of Campylobacter spp. was fully identified to species level when available.
In this study, a carcase sample was declared enumeration positive if at least one confirmed colony of Campylobacter spp. was isolated.
Statistical methods
Data were analysed using Microsoft® Excel and Stata v. 10 (StataCorp, USA).
The McNemar test was used to assess differences between mCCDA and Preston agar and P < 0·05 was regarded as statistically significant. For measuring the agreement between Campylobacter detection by plating and enumeration, the kappa statistic (κ) was used. The interpretation used for Cohen's kappa statistic was: poor agreement κ ⩽ 0·20, fair agreement 0·21 ⩽ κ ⩾ 0·40, moderate agreement 0·41 ⩽ κ ⩾ 0·60, substantial agreement 0·61 ⩽ κ ⩾ 0·80, and good agreement κ ⩾ 0·81.
The outcome in the descriptive univariable analysis was a highly contaminated Campylobacter carcase (a neck and breast skin sample taken from one carcase within a specified slaughter batch with at least 1000 c.f.u./g). The baseline group included all carcases that were found to be negative for Campylobacter or carcases with a count of <1000 c.f.u./g. Continuous variables, apart from age, were recoded as categorical variables according to approximate centile distribution. Univariable logistic regression models were used to screen for potential risk factors. All exposures with a P value <0·25 (χ2 test or Wald test statistic) were assessed for inclusion in the multivariable logistic regression model. Variables were entered into the model in a forward stepwise fashion and only variables with a P value <0·05 (likelihood-ratio χ2 test or P Wald) were retained. A backwards stepwise exclusion of non-significant exposures from the univariable analysis was then performed and any exposure with a P value >0·05 (likelihood-ratio χ2 test or P Wald) was removed to obtain the simplest model. The rejected exposure variables were then individually re-introduced to assess for confounding and change in model fit (assessed by the Hosmer–Lemeshow goodness-of-fit test). A re-introduced variable was kept in the model if it changed any of the estimated odds ratios by more than 20% (confounding). Ordinal categorical variables were included as a linear or factor variable based on the P value from the likelihood-ratio χ2 test. The variables in the final model were tested for biologically plausible interactions. The variable ‘abattoir’ was included using the cluster command to adjust for multilevel dependencies in the data between slaughter batches processed by the same abattoir.
The final model was based on 336 slaughter batches. Of the 400 eligible slaughter batches tested for Campylobacter, 28 were excluded as previous partial depopulation status was not known. Seventeen slaughter batches were excluded from the logistic regression model when region of farm (country) was included and a further 19 slaughter batches were dropped from the model when poultry company (six batches), type of flock (four batches), type of chilling used (four batches), number of birds on the holding (two batches), mortality at 14 days (two batches) and time from farm to slaughter (one batch) were included.
RESULTS
Three-quarters of the 400 eligible slaughter batches were sampled at abattoirs located in England (301, 75%), followed by Northern Ireland (44, 11%), Wales (34, 9%) and Scotland (21, 5%). The numbers of batches sampled by region were found to be proportionate to their annual broiler slaughter throughput; 74% (538 million broilers) in England, 13% (96 million) in Northern Ireland, 6% (43 million) in Wales and 6% (43 million) in Scotland. The number of slaughter batches sampled at each abattoir varied from one to 50 slaughter batches.
The majority of the slaughter batches (94·0%) originated from conventionally produced broilers with the remainder coming from free-range (standard) and organic farms [16 (4·0%) and 8 (2·0%), respectively]. This is similar to the structure of the broiler production system in England [Reference Sheppard21].
Prevalence of Campylobacter
Campylobacter spp. were detected in the caecal samples from 303 (75·8%) of the 400 eligible slaughter batches. Three-quarters (226, 74·6%) were identified as C. jejuni and 77 (25·4%) were C. coli. By comparison 349 (87·3%) of the carcases were confirmed as Campylobacter positive by one of the two methods (parallel detection by mCCDA and/or Preston; and/or enumeration). mCCDA was more effective at detecting Campylobacter (336, 84·0%) than Preston agar (290, 72·5%; P < 0·0001).
Campylobacter spp. were detected (by mCCDA and/or Preston) on 342 (85·5%) of the 400 carcases. Of the 342 positive carcases, C. jejuni was detected on 239 (69·9%) carcases and C. coli on 82 (24·0%) carcases. A further 21 (6·1%) carcases yielded C. jejuni and C. coli (Table 1).
Table 1. Campylobacter on broiler carcases by detection and enumeration methods
* Detection by mCCDA and/or Preston.
† Detection (by mCCDA/Preston) and/or enumeration.
The enumeration method detected Campylobacter on 68·3% (273) of the carcases; 83·5% (228) were identified as C. jejuni and 16·5% (45) as C. coli (Table 1). A moderate agreement between the parallel detection method (by mCCDA/Preston) and the enumeration method was observed (κ = 0·44). The prevalence of Campylobacter contamination of carcases varied from 80% [95% confidence interval (CI) 63·1–91·6] in March and October, to 97·0% (95% CI 84·2–99·9) in July (Fig. 1).
Fig. 1. Prevalence of carcase contamination and median counts of Campylobacter on carcases by month.
Quantification of Campylobacter on broiler carcases
The lowest limit for detection of Campylobacter was 5 c.f.u./g, where four carcases were found contaminated with C. jejuni, in contrast the highest count on neck and breast skin samples was 110 000 c.f.u./g. The level of contamination of Campylobacter on the 273 carcases is given in Table 2 and Figure 2. The level of Campylobacter contamination on carcases varied by Campylobacter caecal status. For batches recorded as Campylobacter negative by caecal sampling, the median Campylobacter count was 0 c.f.u./g (range 0–62 000) compared to 430 c.f.u./g (range 0–110 000) for Campylobacter (caecal)-positive batches. In conventional flocks, the median Campylobacter load was 235 c.f.u./g (range 0–110 000) compared to 125 c.f.u./g (range 0–3100) and 175 c.f.u./g (range 0–6200) for free-range and organic flocks, respectively. During the year the median Campylobacter count by month ranged from 0 to 730 c.f.u./g (Fig. 1).
Fig. 2. Level of Campylobacter contamination (number of carcases by c.f.u./g).
Table 2. Level of contamination on carcases: Campylobacter load by species
Of the 400 batches enumerated, 109 (27·3%) batches were found to have counts ⩾1000 c.f.u./g. A seasonal variation in the proportion of carcases that were highly contaminated with Campylobacter (⩾1000 c.f.u./g) was observed, from 19·2% (95% CI 12·0–28·3) in spring (March, April, May) to 39·8% (95% CI 30·0–50·2) in summer (June, July, August) (Fig. 3).
Fig. 3. Prevalence of carcase Campylobacter contamination ⩾1000 c.f.u./g by month.
Comparison of the detection of Campylobacter in caeca and on broiler carcases
Overall, 296 slaughter batches were positive for Campylobacter spp. by both caecal and carcase sampling and both methods of detection (enrichment/plating and enumeration). A further 44 were negative by both sampling methods (Table 3).
Table 3. Detection of Campylobacter in slaughter batches, in caeca and broiler carcases (by detection and/or enumeration)
Campylobacter spp. were cultured from the caeca of seven (13·7%) slaughter batches when Campylobacter was not detected on the carcase (by enrichment/plating and/or enumeration) from the same slaughter batch but in most (86·3%) batches the caeca were negative if the carcase was negative. Only 45% of carcases were uncontaminated post-chilling from caeca-negative slaughter batches. In 53 (54·6%) slaughter batches, Campylobacter spp. were detected on the carcase but not in the corresponding caecal sample.
Identification of risk factors for highly Campylobacter-contaminated carcases
Of the 23 variables tested, 14 were associated with highly Campylobacter-contaminated carcases (Table 4). Company, season, previous partial depopulation, mortality (% of birds) recorded at 14 days and location of farm (country) were included in the multivariable model as independent risk factors. Age of the birds was included in the model as an a priori confounder. The type of crate used to transport the birds, type of chilling used at the abattoir, number of broilers on the holding, production type, slaughter schedule and length of time from farm to slaughter were all included in the final model as potential confounders (when each variable was individually included in the model the company-specific odds ratio for Campylobacter contamination changed by more than 20%). The model outputs for the exposures significantly associated with heavy Campylobacter carcase contamination are shown in Table 5.
Table 4. Univariable analysis: association between exposure variables and highly Campylobacter-contaminated carcases (⩾1000 c.f.u./g)
OR, Odds ratio; CI, confidence interval.
* Carcases with a count ⩾1000 c.f.u./g.
† Mortality at 72 h before slaughter minus mortality at 14 days.
Table 5. Multivariable analysis: risk factors* associated with highly Campylobacter-contaminated carcases (⩾1000 c.f.u./g)†
OR, Odds ratio; CI, confidence interval.
* Region (country) of farm was included in the multivariable model as an independent risk factor (data not shown).
† The following exposures were also included in the multivariable model: • Age of the birds was included as an a priori confounder. • Type of crate used to transport the birds, type of chilling used, number of birds on the holding, type of flock, slaughter schedule, and time from farm to slaughter were included in the model as potential confounders (the company-specific odds ratio for Campylobacter contamination changed by more than 20% when each variable was added to the model).
‡ Baseline: First batch slaughtered from flock.
§ Baseline: Spring (March, April, May).
¶ Baseline: Mortality <1·25%.
∥ Baseline: Company 12.
DISCUSSION
This paper focuses on the UK results from the EU baseline survey on Campylobacter and an additional risk factor analysis of the most highly Campylobacter-contaminated carcases. The results of the survey for all of the Member States have been reported elsewhere [22].
The prevalence of Campylobacter on broiler carcases in the UK was 87·3%, this compares with 4·9–100% from the baseline surveys in the other European countries and is similar to the results from France [Reference Hue23]. The prevalence of Campylobacter in broiler batches and on broiler carcases is comparable to previous UK studies [Reference Evans and Sayers14, Reference Moran, Scates and Madden16]. However, direct comparison of results between studies is difficult and should be made with caution as both the sampling scheme and isolation method may vary between studies. Indeed, the Campylobacter prevalence observed in our study is much higher than other UK studies which excluded flocks that had been previously partially depopulated [Reference Ellis-Iversen12, Reference McDowell13]. However, we believe the high coverage of this UK-wide survey (88% of the total annual kill), combined with the randomized sampling approach provides a representative estimate of the Campylobacter prevalence in UK broiler flocks.
The prevalence of Campylobacter on carcases was higher compared to the prevalence obtained by caecal sampling (87·3% vs. 75·5%); 53 (13·2%) slaughter batches were classified as negative by caecal sampling but were positive by carcase sampling. The observed difference in prevalence is indicative of cross-contamination of the carcases with Campylobacter spp. during the slaughter process which concurs with other studies [Reference Boysen and Rosenquist18, Reference Hue23–Reference Figueroa26].
The sampling of one carcase per slaughter batch may underestimate the prevalence of Campylobacter on broiler batches. Seven (1·8%) slaughter batches were identified as negative via carcase sampling; however, Campylobacter was detected in caeca from birds in the same batch. It is not known whether the numbers of Campylobacter in the caecal samples from these seven batches were low and potentially indicative of recent flock colonization. A positive correlation between the number of campylobacters in caeca and the number found on carcases has been observed [Reference Reich27]. However, most batches were detected as Campylobacter-contaminated by both caeca and carcase sampling.
The Campylobacter carcase prevalence and enumeration results from this study have been used, in part, to agree a voluntary industry target with the UK government to reduce the proportion of birds in the most contaminated group (>1000 c.f.u./g). The target will be measured at UK slaughterhouses and has been set from a baseline of 27% in 2008, based on this survey, to achieve a reduction to 10% by 2015. In light of this target, we undertook a risk analysis to examine any factors associated with the most highly contaminated carcases. The aim of the risk-factor analysis was to generate advice to industry which could help to reduce the proportion of highly Campylobacter-contaminated carcases and thus help the UK to meet the new target.
A significantly increased risk of highly contaminated carcases was observed in the summer months (July, August, September; OR 3·50), this is consistent with other European studies which have shown a seasonal summer peak in Campylobacter colonization or carcase contamination [Reference Lawes28–Reference Jorgensen32]. The observed increase in risk may be explained by changes in environmental reservoirs and the frequency in which flocks are exposed to the organism, in addition to changes in climatic factors such as temperature and precipitation. The role of flies in the epidemiology of Campylobacter has been suggested by several authors [Reference Hald33, Reference Nichols34], a peak in the Campylobacter carriage rate of flies during July to August has been observed which may represent a risk in colonization of broiler flocks [Reference Hald35]. A recent study which examined the incidence of Campylobacter in broilers and people in six Northern European countries (Denmark, Finland, Iceland, Norway, Sweden, The Netherlands) found that temperature-related factors were probably in part responsible for the seasonality in incidence [Reference Jore30]. Rigorous or enhanced biosecurity measures have been shown to reduce Campylobacter colonization in broiler flocks [Reference Gibbens36]. In a recent study in Sweden, a good general tidiness score and an increase in the number of changes of footwear were both associated with a decreased risk of colonization [Reference Hansson37]. Enhanced biosecurity should be advocated particularly during the summer months; however, such measures may not be effective in reducing the high levels of Campylobacter contamination. Given the complexity of Campylobacter epidemiology in broilers, and the observed increased risk of highly contaminated carcases during the summer months, further research to examine the factors associated with seasonality should be undertaken.
The risk for high Campylobacter contamination increased if the flock had been previously partially depopulated (OR 3·37), this is consistent with other studies [Reference Lawes28, Reference Hansson37, Reference Stern38]. This association was independent of the age of birds. In this study, previously partially depopulated flocks included flocks that had been partially depopulated the previous day or up to 20 days prior to our sampled batch (mean and median of 7 days). We were unable to examine any potential risks associated with the length of time between previous partial depopulation and slaughter as this information was missing from a large number of batches; however, this length of time may be relevant in attempting to minimize the proportion of birds that are most highly contaminated and warrants further investigation.
An increase in the mortality of birds in the first 2 weeks of life was shown to increase the risk of heavily contaminated carcases (OR 2·54) although a linear trend was not observed [a high mortality of ⩾1·75% was not associated with heavily contaminated carcases (OR 1·55, 95% CI 0·71–3·37)]. The increase in risk is consistent with a larger study (of which this study was a part), which found an association between higher recent flock mortality and an increased risk of Campylobacter infection in broiler flocks at slaughter [Reference Lawes28]. Furthermore, a higher level of rejection due to infection and digital dermatitis were both found to be associated with Campylobacter-positive slaughter batches [Reference Bull39]. Although Campylobacter is generally regarded as a commensal in broilers, these findings may suggest that Campylobacter is more common in flocks compromised by poor health. Conversely, the mortality rate may be a proxy marker for farm management practices or biosecurity on the farm. The absence of a linear trend may reflect farm management practices in that when higher mortality rates are recorded on the farm, the situation is managed by the use of antibiotics, for example, and the actions in response to the higher mortality rate impacts upon Campylobacter colonization and/or contamination.
Poultry company was identified as an independent risk factor for highly contaminated carcases. Ten companies were shown to have an increased risk of high levels of carcase contamination compared to the baseline group and of these, four companies had a significantly increased risk. The number of slaughter batches sampled by these four companies ranged from five to 16 batches (Table 4). Differences in Campylobacter colonization and contamination of carcases by producer/abattoir have been reported elsewhere [Reference Figueroa26]. However, it should be noted that due to the large number of companies involved in the study and the small sample size for several companies, the confidence intervals for the odds ratios are very wide and the upper limits should be treated with caution. However, the results are indicative of company-specific risk factors or possible recirculation of strains within a company and as such warrant further investigation.
Farm location was identified as a significant factor associated with highly contaminated carcases (odds ratio for regional data not shown). Although the multivariable model included company as an independent risk factor, and therefore the outputs would have been adjusted for company-related effects, it is possible that abattoir-specific or farm-related factors, not measured by our study, confound this finding. Alternatively, this exposure variable could be a proxy for geographical or climate factors. An increased risk of Campylobacter colonization in relation to geographical areas has been observed in previous studies [Reference Jonsson40] including the EU baseline survey [22]. Furthermore, an association between Campylobacter prevalence and climatic factors has recently been reported in Great Britain (GB) [Reference Jorgensen32], in this study Campylobacter-positive flocks were more likely to be reared in northern GB. This finding should be further explored.
An increased risk of Campylobacter prevalence with increasing age has been well documented [Reference McDowell13, Reference Lawes28, Reference Bouwknegt41]. In our study age was not significantly associated with high levels of carcase contamination in the multivariable analysis.
Crates used to transport broilers to the abattoir can be contaminated with Campylobacter and as such pose a potential risk for the transmission or contamination of birds [Reference Hansson42]. Research has shown that isolates can survive on the crates post-sanitization [Reference Allen43, Reference Hastings44]. An increased risk of heavy Campylobacter contamination of carcases was observed in birds transported in solid and open crates (OR 3·56 95% CI 0·99–12·8), compared to open crates alone; however, this increase in risk was of borderline significance.
The design and implementation of successful control programmes at the farm and abattoir level require a better understanding of the epidemiology of Campylobacter in broiler flocks. A review of risk assessments on Campylobacter in broiler meat found that the most effective intervention measures should focus on reducing the numbers of Campylobacter rather than prevalence alone [Reference Nauta45]. In the UK, a voluntary industry target to reduce the most contaminated slaughter batches has been agreed with government and this study is the first to describe the risks associated with such contamination.
CONCLUSION
Slaughter during the summer months, flocks that have been previously partially depopulated and an increased mortality rate were found to have an increased risk of high Campylobacter-contamination levels on carcases post-chill (counts of ⩾1000 c.f.u./g). Enhanced biosecurity and efforts to minimize Campylobacter contamination should be paramount during the summer months and when flocks are thinned, while further efforts to understand the complex epidemiology of Campylobacter infection are undertaken. The risk of heavily contaminated carcases varied by poultry company, and we recommend examining the practices and procedures in place within companies to try to identify areas for reducing carcase contamination. A regional effect on the risk of high Campylobacter contamination was also observed hence the potential role of climatic or abattoir-/farm-level factors should be further investigated.
ACKNOWLEDGEMENTS
This project was funded by the UK Food Standards Agency and the UK Department for Environment, Food and Rural Affairs (project FZ2025 and MO1051). The authors thank the abattoirs and the poultry companies for participating in this study and Agri-Food and Biosciences Institute, DARD and the Meat Hygiene Service for expert assistance. The authors also thank colleagues from the Centre of Epidemiology and Risk Analysis and the Food and Environmental Safety Department for their involvement with the survey. In particular the authors acknowledge the input of Dr Kathy Christiansen in the initiation of the project and thank Samuel Strain, AFBI, for his collaboration.
DECLARATION OF INTEREST
None.
