Abstract
Anthelmintic resistance has been increasingly reported in cattle worldwide over the last decade, although reports from Europe are more limited. The objective of the present study was to evaluate the efficacy of injectable formulations of ivermectin and moxidectin at 0.2 mg per kg bodyweight against naturally acquired gastro-intestinal nematodes in cattle. A total of 753 animals on 40 farms were enrolled in Germany (12 farms), the UK (10 farms), Italy (10 farms), and France (8 farms). Animals were selected based on pre-treatment faecal egg counts and were allocated to one of the two treatment groups. Each treatment group consisted of between 7 and 10 animals. A post-treatment faecal egg count was performed 14 days (±2 days) after treatment. The observed percentage reduction was calculated for each treatment group based on the arithmetic mean faecal egg count before and after treatment. The resistance status was evaluated based on the reduction in arithmetic mean faecal egg count and both the lower and upper 95% confidence limits. A decreased efficacy was observed in half or more of the farms in Germany, France and the UK. For moxidectin, resistance was confirmed on 3 farms in France, and on 1 farm in Germany and the UK. For ivermectin, resistance was confirmed on 3 farms in the UK, and on 1 farm in Germany and France. The remaining farms with decreased efficacy were classified as having an inconclusive resistance status based on the available data. After treatment Cooperia spp. larvae were most frequently identified, though Ostertagia ostertagi was also found, in particular within the UK and Germany. The present study reports lower than expected efficacy for ivermectin and moxidectin (based on the reduction in egg excretion after treatment) on European cattle farms, with confirmed anthelmintic resistance on 12.5% of the farms.
Keywords: Ivermectin, Moxidectin, Anthelmintic resistance, Cattle, Europe
Graphical abstract
Highlights
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Multi-centre study in four major cattle markets in Europe.
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Decreased efficacy in more than half of the farms in three out of four countries.
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12.5% of farms with confirmed anthelmintic resistance to ivermectin and moxidectin.
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Mainly Cooperia larvae found in post-treatment copro-cultures.
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Also Ostertagia ostertagi larvae found in post-treatment copro-cultures.
1. Introduction
Gastro-intestinal nematodes are very common in cattle and can cause pathology which impairs the health and welfare of infected animals, therefore resulting in decreased production. The use of broad spectrum anthelmintic drugs has been the backbone of worm management for nearly 40 years. This continual use has led to the selection of populations of drug-resistant worms worldwide. The high prevalence of anthelmintic resistance and even multidrug resistance in sheep is redefining how anthelmintics are used in parasite control programs. Anthelmintic resistance to both benzimidazole and macrocyclic lactone compounds has now also been reported in cattle (Sutherland and Leathwick, 2011). For the macrocyclic lactone compounds, anthelmintic resistance in cattle has mainly been reported in the dose-limiting nematode Cooperia spp. (Soutello et al., 2007; Condi et al., 2009; Gasbarre et al., 2009; Edmonds et al., 2010; El-Abdellati et al., 2010a,b; McArthur et al., 2011; Bartley et al., 2012; Leathwick and Miller, 2013) and to a far lesser extent in Ostertagia ostertagi (Demeler et al., 2009; Areskog et al., 2013). Species belonging to the genus Cooperia are considered to be of less pathogenic significance than Ostertagia, although the negative effect of Cooperiapunctata on cattle productivity has been demonstrated in the US (Stromberg et al., 2012).
The ostensibly lower rate of anthelmintic resistance detection in cattle might in part be due to the difficulty in diagnosis, as faecal egg counts tend to be less reflective of the adult worm burden in cattle compared to sheep. As such, the detection of anthelmintic resistance based on faecal egg counts is prone to more uncertainty in cattle. Some recommendations to minimise diagnostic uncertainty include the use of arithmetic means over geometric means to calculate anthelmintic efficacy (Dobson et al., 2009), the use of individual based group means with pre- and post-treatment individual faecal egg counts (Calvete and Uriarte, 2013), and the preferred use of diagnostic methods with higher analytic sensitivity to minimise inaccuracies in populations with low baseline faecal egg count (Levecke et al., 2011). It is also important to obtain an adequate sample size, although the number of animals with an adequate infection for enrolment can be limited under field conditions. To account for the problems associated with smaller sample sizes, the use of parametric methods such as Markov chain Monte Carlo within a Bayesian framework have been advocated in equine studies for all group sizes smaller than 50 animals, in order to avoid erroneous inference about the true efficacy of anthelmintics in the field (Denwood et al., 2010). Bayesian methods have also more recently been advocated by other authors (Dobson et al., 2012; Torgerson et al., 2014). Non-parametric bootstrapping has also been considered as a potential analysis method (Vidyashankar et al., 2007), but it has been found to be inappropriate for smaller sample sizes (Denwood et al., 2010), and does not produce correct results with observed reductions of 100% (Denwood et al., 2010; Dobson et al., 2012; Torgerson et al., 2014).
In addition to the method of statistical analysis, the interpretation of the efficacy results and the definition of anthelmintic resistance have been debated. The current WAAVP (World Association for the Advancement of Veterinary Parasitology) guidelines (Coles et al., 1992) state that anthelmintic resistance is present when the efficacy is below 95% and when the lower 95% confidence limit is below 90%, and that anthelmintic resistance is suspected if only one of the two criteria applies. More recently, there have been recommendations to include the upper 95% confidence limit in the assessment of the true resistance status (Lyndal-Murphy et al., 2014), which distinguishes between the two situations where anthelmintic resistance is possible but not certain, and where anthelmintic resistance has been confirmed.
The objective of the current study was to obtain more information on anthelmintic resistance in cattle in Europe. The efficacy of injectable formulations of ivermectin and moxidectin was evaluated in naturally infected cattle in four major cattle markets across Europe.
2. Materials and methods
2.1. Study design
This study was designed as a multi-site field efficacy study in Germany, France, the UK and Italy. The anthelmintic efficacy was assessed in cattle naturally infected with gastro-intestinal nematodes. The study farms were selected based on the previous use of macrocyclic lactones as the backbone for parasite management. On each farm, all animals grazed the same pasture before and throughout the 14 day evaluation period. The study used a randomised complete block design for each farm, with the individual animal as the experimental unit. In accordance with current guidelines, a faecal egg count was used to select animals for treatment. In order to ensure an adequate number of animals with a positive faecal egg count for randomisation (a target of 20 animals), individual faecal samples from 20 to 50 animals were screened at each farm prior to treatment.
On each farm, animals were paired into blocks by descending pre-treatment faecal egg count. Within each block of two, the animals were randomly allocated to one of the two treatment groups. On Day 0, the weight of the allocated animals was determined using a girth tape. Animals were treated with injectable formulations of either ivermectin (Ivomec® Merial) or moxidectin (Cydectin 1%® Zoetis), both at 0.2 mg/kg bodyweight. On Day 14 (±2 days), individual faecal egg counts were performed for all animals selected for treatment. Faecal egg counts were performed using a modified McMaster technique, with a sensitivity of 12.5 eggs per gram of faeces in all countries except France (detection limit: 15 eggs per gram of faeces). Coprocultures were performed for larval identification (Van Wyk and Mayhew, 2013), based on a single bulk sample (before treatment) or a bulk sample per treatment group (after treatment). Laboratory personnel involved in the faecal egg count and/or the larval identification were blinded to the allocation of animals to treatment. The in vivo procedures occurred after ethical review and according to state, national, or international regulations.
2.2. Statistical analysis
At each farm, the pre-treatment and post-treatment arithmetic mean faecal egg counts were used to calculate the efficacy for each of the treatment groups using the following formula:
Where possible, the percentage reduction per nematode species (Ostertagia and Cooperia) was calculated. A bootstrap analysis approach based on Vidyashankar et al. (2007) was used to estimate the arithmetic mean faecal egg count reduction per treatment and the 95% confidence intervals. For each dataset, new values for the pre- and post-treatment counts were sampled with replacement from the observed counts, and the bootstrapped efficacy was calculated as described above. This was repeated 1000 times and the 95% confidence intervals taken as the 2.5 and 97.5 percentiles of the resulting distribution of bootstrapped efficacies. All statistical analyses were performed using R (R Core Team, 2015).
2.3. Interpretation of results
The anthelmintic resistance status was interpreted using the method described by Lyndal-Murphy et al. (2014), which is based on the WAAVP guidelines on anthelmintic resistance (Coles et al., 1992) but also considers the upper 95% confidence limit as well as the lower 95% confidence limit and the percentage reduction. The treatment was classified as either efficacious, having confirmed anthelmintic resistance, or being inconclusive based on the following criteria:
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Efficacious: percentage reduction and upper 95% confidence limit above 95% and lower 95% confidence limit above 90%.
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Confirmed anthelmintic resistance: percentage reduction and upper 95% confidence limit below 95% and lower 95% confidence limit below 90%.
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Inconclusive: neither of the above criteria fulfilled.
Datasets with 100% observed efficacy were tentatively classified as efficacious in accordance with these criteria, however these classifications should not be considered as definitive because the lower 95% confidence intervals produced using non-parametric bootstrapping for these datasets cannot be relied upon (Denwood et al., 2010; Dobson et al., 2012; Torgerson et al., 2014).
2.4. Comparison of the sampling assumptions and analytical methods
In order to explore the statistical consequences and implications of the standard protocol followed for this study, data from the 80 trials were re-analysed under three sampling assumptions including the screened data as described above. To generate the second group of datasets, the entire pre-treatment data were considered. This included data from animals that were not enrolled in the treatment groups due to a low or negative faecal egg count from this sample (unscreened data). The motivation was to correct for regression to the mean, induced by using the same faecal egg count sample as both the screening and pre-treatment sample, which would be expected to introduce a bias in the estimated efficacy calculation. The third procedure involved extending the first procedure to utilise the pre-treatment data from both treatment groups in order to reduce the uncertainty in the estimated efficacy (grouped data).
All three datasets from each of the 80 trials were analysed using two statistical methods: a modified non-parametric bootstrap method, and an Markov chain Monte Carlo method. The latter was modified from Denwood et al. (2010) to allow an individual animal efficacy fitted to those animals for which a post-treatment faecal egg count was observed. This approach explicitly controls for several levels of within individual extra-Poisson variance, as described by Denwood et al. (2012). These statistical analyses were done in R (R Core Team, 2015), with Markov chain Monte Carlo results obtained using the bayescount package (Denwood, 2015). Full details of these methods are given in the supplementary data file.
3. Results
A total of 40 farms and 753 animals were included in this study: 12 farms in Germany with 235 animals, 10 farms each in Italy (179 animals) and the UK (197 animals) and 8 farms (142 animals) in France. In addition to an overview of the efficacy results by country, the number of animals in each country is provided in Table 1. The number of animals enrolled in each treatment group varied between seven and ten (see Tables 2–5). Of the 80 treatment groups in the study, 54 groups had ten animals, 14 groups had nine animals, 6 groups had eight animals, 5 groups had seven animals and 1 group had six animals included in the analysis. For some animals, a faecal sample could not be collected after treatment.
Table 1.
Country | N farms | MOX |
IVM |
CAR for IVM and MOX | ||||||
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N animals | EFF | CAR | INC | N animals | EFF | CAR | INC | |||
Germany | 12 | 118 | 4 | 1 | 7 | 117 | 2 | 1 | 9 | 2 |
Italy | 10 | 88 | 9 | 0 | 1 | 91 | 7 | 0 | 3 | 0 |
UK | 10 | 99 | 4 | 1 | 5 | 98 | 3 | 3 | 4 | 4 |
France | 8 | 71 | 3 | 3 | 2 | 71 | 4 | 1 | 3 | 4 |
Total | 40 | 376 | 20 | 5 | 15 | 377 | 16 | 5 | 19 | 10 |
Table 2.
Farm | Treatment | Pre |
Post |
Efficacy |
Larvae pre |
Larvae post |
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n | AM | MIN | MAX | n pos | AM | MIN | MAX | % | L95 | U95 | Status | Oo | C | Oo | C | ||
GE01 | MOX | 10 | 260 | 75 | 550 | 8 | 58 | 0 | 187.5 | 76.8 | 56.9 | 90.4 | CAR | 44 | 56 | 3 | 97 |
IVM | 10 | 258 | 62.5 | 475 | 9 | 55 | 0 | 150 | 78.3 | 63.3 | 88.4 | CAR | 3 | 97 | |||
GE02 | MOX | 10 | 75 | 25 | 187.5 | 2 | 3 | 0 | 12.5 | 96.5 | 91.3 | 100.0 | EFF | 100 | 0 | 100 | 0 |
IVM | 10 | 75 | 37.5 | 175 | 2 | 4 | 0 | 25 | 94.9 | 86.8 | 100.0 | INC | 90 | 10 | |||
GE03 | MOX | 10 | 133 | 12.5 | 625 | 3 | 9 | 0 | 62.5 | 92.0 | 75.0 | 100.0 | INC | 77 | 22 | 0 | 100 |
IVM | 10 | 109 | 12.5 | 475 | 1 | 1 | 0 | 12.5 | 98.7 | 94.6 | 100.0 | EFF | NL | ||||
GE04 | MOX | 10 | 89 | 25 | 325 | 1 | 4 | 0 | 37.5 | 95.5 | 82.4 | 100.0 | INC | 40 | 60 | 0 | 100 |
IVM | 10 | 129 | 25 | 587.5 | 0 | 0 | 0 | 0 | 100.0 | 100.0 | 100.0 | EFF | 0 | 100 | |||
GE05 | MOX | 10 | 836 | 62.5 | 5587.5 | 6 | 15 | 0 | 37.5 | 97.3 | 91.1 | 99.5 | EFF | 20 | 80 | 2 | 95 |
IVM | 10 | 465 | 37.5 | 2212.5 | 5 | 18 | 0 | 75 | 95.2 | 85.7 | 99.1 | INC | 2 | 98 | |||
GE06 | MOX | 10 | 106 | 12.5 | 387.5 | 5 | 23 | 0 | 125 | 77.2 | 37.3 | 96.7 | INC | 21 | 79 | 5 | 95 |
IVM | 10 | 96 | 12.5 | 262.5 | 2 | 4 | 0 | 25 | 95.7 | 87.3 | 100.0 | INC | 5 | 95 | |||
GE07 | MOX | 8 | 78 | 12.5 | 225 | 4 | 8 | 0 | 25 | 89.0 | 76.5 | 97.4 | INC | 4 | 95 | 6 | 94 |
IVM | 7 | 75 | 25 | 200 | 3 | 7 | 0 | 25 | 89.9 | 73.9 | 98.4 | INC | 30 | 67 | |||
GE08 | MOX | 10 | 69 | 25 | 150 | 3 | 4 | 0 | 12.5 | 94.4 | 88.0 | 98.6 | INC | 91 | 6 | NL | |
IVM | 10 | 66 | 12.5 | 137.5 | 2 | 20 | 0 | 175 | 69.6 | 8.3 | 100.0 | INC | 24 | 76 | |||
GE09 | MOX | 10 | 64 | 12.5 | 212.5 | 4 | 9 | 0 | 25 | 85.0 | 64.7 | 97.3 | INC | 43 | 57 | NL | |
IVM | 10 | 60 | 12.5 | 162.5 | 2 | 3 | 0 | 12.5 | 95.7 | 88.6 | 100.0 | INC | 10 | 90 | |||
GE10 | MOX | 10 | 101 | 37.5 | 237.5 | 2 | 3 | 0 | 12.5 | 97.5 | 93.8 | 100.0 | EFF | 31 | 69 | 13 | 87 |
IVM | 10 | 74 | 12.5 | 175 | 3 | 5 | 0 | 25 | 92.8 | 83.3 | 98.6 | INC | NL | ||||
GE11 | MOX | 10 | 103 | 50 | 175 | 4 | 13 | 0 | 50 | 87.5 | 75.0 | 97.1 | INC | 44 | 56 | 29 | 71 |
IVM | 10 | 114 | 50 | 250 | 3 | 5 | 0 | 25 | 95.5 | 89.6 | 100.0 | INC | 9 | 91 | |||
GE12 | MOX | 10 | 86 | 37.5 | 200 | 3 | 4 | 0 | 12.5 | 95.4 | 90.0 | 99.2 | EFF | 35 | 64 | 13 | 88 |
IVM | 10 | 129 | 37.5 | 650 | 5 | 66 | 0 | 450 | 36.6 | 0.00 | 95.3 | INC | 20 | 80 |
NL = no larvae were found in the coproculture. MOX = moxidectin injectable. IVM = ivermectin injectable.
Table 3.
Farm | Treatment | Pre |
Post |
Efficacy |
Larvae pre |
Larvae post |
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n | AM | MIN | MAX | n pos | AM | MIN | MAX | % | L95 | U95 | Status | Hae | C | Hae | C | ||
IT01 | MOX | 10 | 63 | 25 | 125 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | 78a | 18a | ||
IVM | 9 | 97 | 50 | 400 | 3 | 19 | 0 | 100 | 77.1 | 36.3 | 100.0 | INC | 100 | 0 | |||
IT02 | MOX | 9 | 111 | 25 | 400 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | 100 | 0 | ||
IVM | 9 | 131 | 25 | 450 | 2 | 6 | 0 | 25 | 95.4 | 87.1 | 100.0 | INC | 100 | 0 | |||
IT03 | MOX | 6 | 42 | 25 | 75 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | 100 | 0 | ||
IVM | 8 | 41 | 25 | 100 | 1 | 6 | 0 | 50 | 84.6 | 50.0 | 100.0 | INC | 100 | 0 | |||
IT04 | MOX | 6 | 42 | 25 | 75 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | 100 | 0 | ND | |
IVM | 8 | 50 | 25 | 200 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | |||||
IT05 | MOX | 7 | 64 | 25 | 225 | 1 | 4 | 0 | 25 | 93.4 | 71.4 | 100.0 | INC | 100 | 0 | NL | |
IVM | 7 | 39 | 25 | 100 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | |||||
IT06 | MOX | 10 | 38 | 25 | 62.5 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | 100 | 0 | ND | |
IVM | 10 | 40 | 25 | 112.5 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | |||||
IT07 | MOX | 10 | 49 | 25 | 125 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | 100 | 0 | ND | |
IVM | 10 | 46 | 25 | 100 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | |||||
IT08 | MOX | 10 | 46 | 25 | 87.5 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | 100 | 0 | ND | |
IVM | 10 | 48 | 25 | 87.5 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | |||||
IT09 | MOX | 10 | 38 | 25 | 75 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | 100 | 0 | ND | |
IVM | 10 | 35 | 25 | 50 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | |||||
IT10 | MOX | 10 | 46 | 25 | 137.5 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | 100 | 0 | ND | |
IVM | 10 | 45 | 25 | 112.5 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF |
ND = for those groups with high efficacy no copro-culture was performed. NL = no larvae were found in the coproculture.
MOX = moxidectin injectable. IVM = ivermectin injectable.
On IT01, Oesophagostomum (4%) was identified as well pre-treatment.
Table 4.
Farm | Treatment | Pre |
Post |
Efficacy |
Larvae pre |
Larvae post |
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n | AM | MIN | MAX | n pos | AM | MIN | MAX | % | L95 | U95 | Status | Oo | C | Oo | C | ||
UK02 | MOX | 10 | 353 | 37.5 | 800 | 10 | 35 | 12.5 | 125 | 89.8 | 80.8 | 95.3 | INC | 10 | 47 | 17 | 68 |
IVM | 10 | 320 | 12.5 | 862.5 | 10 | 61 | 12.5 | 237.5 | 79.3 | 55.6 | 92.5 | CAR | 0 | 99 | |||
UK06 | MOX | 10 | 243 | 162.5 | 412.5 | 6 | 21 | 0 | 62.5 | 91.2 | 84.5 | 96.9 | INC | NL | 94 | 6 | |
IVM | 10 | 234 | 150 | 350 | 6 | 13 | 0 | 50 | 94.6 | 90.6 | 98.0 | INC | 100 | 0 | |||
UK07 | MOX | 10 | 254 | 87.5 | 762.5 | 2 | 9 | 0 | 75 | 96.4 | 89.6 | 100.0 | INC | 41 | 52 | 0 | 100 |
IVM | 10 | 223 | 75 | 400 | 2 | 3 | 0 | 12.5 | 98.8 | 97.0 | 100.0 | EFF | 0 | 90 | |||
UK08 | MOX | 10 | 170 | 62.5 | 625 | 7 | 14 | 0 | 25 | 91.2 | 83.9 | 96.0 | INC | 57 | 40 | 16 | 84 |
IVM | 10 | 126 | 62.5 | 337.5 | 5 | 29 | 0 | 187.5 | 76.8 | 41.3 | 96.3 | INC | 6 | 94 | |||
UK09 | MOX | 10 | 95 | 50 | 175 | 0 | 0 | 0 | 0 | 100.0 | 100.0 | 100.0 | EFF | 69 | 17 | NL | |
IVM | 10 | 105 | 50 | 250 | 0 | 0 | 0 | 0 | 100.0 | 100.0 | 100.0 | EFF | |||||
UK10 | MOX | 10 | 216 | 75 | 437.5 | 2 | 3 | 0 | 12.5 | 98.8 | 97.1 | 100.0 | EFF | 21 | 55 | 0 | 100 |
IVM | 10 | 303 | 137.5 | 937.5 | 1 | 1 | 0 | 12.5 | 99.6 | 98.6 | 100.0 | EFF | 0 | 100 | |||
UK11 | MOX | 9 | 722 | 212.5 | 3075 | 4 | 18 | 0 | 50 | 97.1 | 92.1 | 99.5 | EFF | 21 | 78 | 32 | 68 |
IVM | 9 | 546 | 187.5 | 2162.5 | 6 | 63 | 0 | 175 | 86.8 | 67.4 | 97.2 | INC | 29 | 70 | |||
UK12 | MOX | 10 | 391 | 125 | 925 | 6 | 21 | 0 | 137.5 | 94.5 | 86.2 | 98.8 | INC | 56 | 44 | 10 | 90 |
IVM | 10 | 388 | 125 | 687.5 | 7 | 56 | 0 | 175 | 85.0 | 72.7 | 95.0 | CAR | 18 | 82 | |||
UK13 | MOX | 10 | 299 | 150 | 737.5 | 5 | 11 | 0 | 62.5 | 96.2 | 91.3 | 99.1 | EFF | 26 | 74 | 21 | 79 |
IVM | 9 | 351 | 137.5 | 1137.5 | 5 | 63 | 0 | 450 | 80.7 | 44.4 | 98.4 | INC | 38 | 61 | |||
UK14 | MOX | 10 | 149 | 62.5 | 587.5 | 10 | 18 | 12.5 | 50 | 87.1 | 75.3 | 94.1 | CAR | 40 | 60 | 27 | 67 |
IVM | 10 | 113 | 50 | 262.5 | 10 | 60 | 12.5 | 287.5 | 46.4 | −12.5 | 83.3 | CAR | 0 | 100 |
NL = no larvae were found in the coproculture. MOX = moxidectin injectable. IVM = ivermectin injectable.
Table 5.
Farm | Treatment | Pre |
Post |
Bootstrap |
Larvae pre |
Larvae post |
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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
n | AM | MIN | MAX | n pos | AM | MIN | MAX | % | L95 | U95 | Status | Oo | C | Oo | C | ||
FR01 | MOX | 9 | 40 | 15 | 90 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | 91 | 9 | ND | |
IVM | 9 | 57 | 15 | 165 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | ND | ||||
FR04 | MOX | 7 | 41 | 15 | 75 | 2 | 9 | 0 | 45 | 77.5 | 37.5 | 100.0 | INC | 76 | 24 | NL | |
IVM | 9 | 38 | 15 | 75 | 4 | 12 | 0 | 45 | 68.3 | 35.0 | 95.0 | INC | |||||
FR05 | MOX | 8 | 168 | 15 | 465 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | 0 | 100 | ND | |
IVM | 7 | 216 | 15 | 735 | 2 | 9 | 0 | 45 | 95.2 | 82.5 | 100.0 | INC | ND | ||||
FR06 | MOX | 9 | 110 | 15 | 315 | 6 | 47 | 0 | 135 | 52.6 | −12.1 | 86.1 | CAR | 6 | 94 | 0 | 100 |
IVM | 9 | 138 | 15 | 600 | 3 | 37 | 0 | 210 | 68.5 | 2.5 | 98.1 | INC | 0 | 100 | |||
FR08 | MOX | 9 | 137 | 30 | 420 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | 12 | 88 | ND | |
IVM | 9 | 170 | 30 | 465 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | ND | ||||
FR09 | MOX | 10 | 74 | 15 | 165 | 6 | 21 | 0 | 45 | 70.1 | 43.9 | 87.7 | CAR | NL | 0 | 100 | |
IVM | 10 | 176 | 15 | 1125 | 1 | 2 | 0 | 15 | 98.8 | 94.3 | 100.0 | EFF | 6 | 94 | |||
FR11 | MOX | 9 | 75 | 15 | 210 | 2 | 5 | 0 | 30 | 92.7 | 78.9 | 100.0 | INC | 5 | 95 | NL | |
IVM | 8 | 84 | 15 | 240 | 0 | 0 | 0 | 0 | 100 | 100.0 | 100.0 | EFF | |||||
FR12 | MOX | 10 | 167 | 60 | 345 | 8 | 50 | 0 | 195 | 68.8 | 39.6 | 88.7 | CAR | 0 | 100 | 0 | 100 |
IVM | 10 | 161 | 75 | 345 | 5 | 36 | 0 | 120 | 77.3 | 57.6 | 94.1 | CAR | 0 | 100 |
ND = for those groups with high efficacy no copro-culture was performed. NL = no larvae were found in coproculture. MOX = moxidectin injectable. IVM = ivermectin injectable.
The bulk coprocultures before and after treatment provide further insight into which nematode species are potentially involved in the decreased efficacy or confirmed anthelmintic resistance. The data are presented per farm in Tables 2–5 In Table 6, an overview of the efficacy against Cooperia and Ostertagia, based on the reduction in mean faecal egg counts and the larval identification before and after treatment is provided.
Table 6.
Cooperia spp |
Ostertagia spp |
|||
---|---|---|---|---|
Farm | IVM | MOX | IVM | MOX |
GE01 | 63% | 61% | 99% | 98% |
GE02 | 95% | 96% | ||
GE03 | 69% | 100% | ||
GE04 | 100% | 93% | 100% | 100% |
GE05 | 95% | 98% | 100% | 100% |
GE06 | 95% | 74% | 99% | 95% |
GE07 | 93% | 90% | 30% | 85% |
GE08 | −284% | 92% | ||
GE09 | 92% | 99% | ||
GE10 | 96% | 99% | ||
GE11 | 93% | 84% | 99% | 92% |
GE12 |
36% |
94% |
71% |
98% |
UK02 | 60% | 86% | 100% | 83% |
UK07 | 98% | 93% | 100% | 100% |
UK08 | 46% | 83% | 98% | 98% |
UK10 | 99% | 97% | 100% | 100% |
UK11 | 90% | 98% | 84% | 96% |
UK12 | 73% | 89% | 95% | 99% |
UK13 | 85% | 96% | 74% | 97% |
UK14 |
12% |
87% |
100% |
92% |
FR06 | 71% | 55% | 100% | 100% |
FR12 |
66% |
70% |
100% |
100% |
<95% | 14/19 | 13/19 | 5/20 | 5/20 |
3.1. Germany
The results in Germany are summarised in Table 2. The study was conducted from August 2011 to September 2012 on 12 dairy farms in Northern Germany in the regions of Lower Saxony (GE01-03, GE05-09, GE11), Schleswig–Holstein (GE04 and GE10) and Brandenburg (GE12).
The baseline faecal egg count in Germany was medium to high, with an arithmetic mean faecal egg count between 60 and 836 eggs per gram of faeces, and an individual faecal egg count ranging from 25 to 5587.5 eggs per gram of faeces. Moxidectin was considered to be efficacious on four farms (GE02; GE05; GE10 and GE12). Anthelmintic resistance was confirmed on 1 farm (GE01) and seven cases were found to be inconclusive. In 5 of these cases, the species-specific efficacy calculation (Table 6) indicated that the efficacy was below 95% for Cooperia and Ostertagia (GE07, GE11) or for Cooperia only (GE03, GE04, GE06). Ivermectin was considered to be efficacious on two farms (GE03 and GE04), of which the latter was associated with an observed reduction of 100%. Confirmed anthelmintic resistance was identified on the same farm as for moxidectin (GE01). Nine cases were found to be inconclusive. In 5 of these cases, the species-specific efficacy calculation (Table 6) indicated that the efficacy was below 95% for Cooperia and Ostertagia (GE07, GE08, GE12) or for Cooperia only (GE11, GE09). Before treatment, O. ostertagi was identified in all farms and Cooperia spp. in all but one of the farms. Small percentages of Trichostongylus spp. were also identified (data not shown). Overall, Cooperia spp. was the most prevalent nematode after treatment. Nevertheless, O. ostertagi was identified in eight of the ten moxidectin and in nine of the ten ivermectin treatment groups from which larvae could be retrieved after treatment.
3.2. Italy
The results in Italy are summarised in Table 3. The study was conducted in beef cattle farms from October to December 2012 in the northern part of Italy (Veneto region: IT01-05) and from December 2011 to February 2012 in the southern part of Italy (Apulia region: IT06-10).
The baseline faecal egg count in Italy was low to medium, with an arithmetic mean faecal egg count between 35 and 131 eggs per gram of faeces, and an individual faecal egg count ranging from 25 to 450 eggs per gram of faeces. Moxidectin was considered to be efficacious on nine farms, all of which were associated with a 100% observed reduction. On one farm (IT05) in northern Italy the results were found to be inconclusive. Ivermectin was found to be efficacious on seven farms (two farms in northern Italy and five in southern Italy), all of which were associated with a 100% observed reduction. The results of the remaining three farms (IT01, IT02 and IT03) were inconclusive.
Before treatment Haemonchus spp. was the only worm identified on all farms, with one exception (IT01: which also had Cooperia and Oesophagostomum; data not shown). The only nematode identified after treatment was Haemonchus spp.
3.3. United Kingdom
The results in the UK are summarised in Table 4. The study was conducted on five dairy farms (UK06-10) in Northumberland from July to September 2011, and five dairy farms (UK02 and UK11-14) in the region of West Sussex from August 2011 to October 2012.
The baseline faecal egg count in the UK was medium to high, with an arithmetic mean faecal egg count between 95 and 722 eggs per gram of faeces, and an individual faecal egg count ranging from 37.5 to 3075 eggs per gram of faeces. It is interesting to note that on farms UK02 and UK14, all treated animals were excreting eggs by 14 days after ivermectin and moxidectin treatment. Moxidectin was considered to be efficacious on four farms (UK09, UK10, UK11 and UK13), of which one farm (UK09) was associated with a 100% observed reduction. Anthelmintic resistance was confirmed on one farm (UK14) and five cases were found to be inconclusive. In 4 of these cases, the species-specific efficacy calculation (Table 6) indicated that the efficacy was below 95% for Cooperia and Ostertagia (UK02) or for Cooperia only (UK07, UK08, UK12). Ivermectin was considered to be efficacious on three farms (UK07, UK09 and UK10), of which 1 farm (UK09) was associated with a 100% observed reduction. Confirmed anthelmintic resistance was identified on three farms (UK02, UK12 and UK14), and the results on four farms were inconclusive. In 3 of these cases, the species-specific efficacy calculation (Table 6) indicated that the efficacy was below 95% for Cooperia and Ostertagia (UK11, UK13) or for Cooperia only (UK08).
Before treatment, coprocultures were successful for nine out of ten farms and both Cooperia spp. and O. ostertagi were identified. The most prevalent nematode after treatment was Cooperia spp. although O. ostertagi was also identified on seven farms after moxidectin treatment (10–94% of the larvae) and on five farms after ivermectin treatment (6–100% of the larvae). On one farm (UK06), 94% of the larvae after moxidectin treatment and 100% of the larvae after ivermectin treatment were identified as O. ostertagi.
3.4. France
The results of the eight dairy farms in France are summarised in Table 5. The study was conducted from November 2011 to September 2012, in the region of Nantes.
The baseline faecal egg count in France was low to medium, with an arithmetic mean faecal egg count between 40 and 216 eggs per gram of faeces, and an individual faecal egg count ranging from 15 to 1125 eggs per gram of faeces. Moxidectin was considered as efficacious on three farms (FR01, FR05 and FR08), all of which were associated with a 100% observed reduction. Confirmed anthelmintic resistance was observed on three farms (FR06, FR09 and FR12), and on two farms the results were inconclusive. Ivermectin was efficacious on four farms (FR01, FR08, FR09 and FR11), of which three farms (FR01, FR08 and FR11) were associated with a 100% observed reduction. Anthelmintic resistance was confirmed for ivermectin on one farm (FR12), and on three farms the results were inconclusive. The species-specific efficacy calculation (Table 6) indicated that the efficacy was below 95% for Cooperia only (FR06).
Before treatment, coprocultures were successful for seven out of eight farms: Cooperia spp. was identified on seven farms and O. ostertagi was identified on five farms. The most prevalent nematodes after treatment were Cooperia spp. In France, only a small percentage of O. ostertagi larvae were identified after ivermectin treatment on FR09. The coproculture of FR02 and FR11 did not yield any larvae.
3.5. Comparison of the sampling assumptions and analytical methods
There was no significant difference between the observed efficacy from the 80 trials as calculated from the grouped and unscreened datasets, although the additional pre-treatment data reduced the uncertainty in the true reduction. This was reflected in smaller 95% confidence intervals and therefore fewer datasets classified as inconclusive for the grouped data compared to the unscreened data (one fewer for Markov chain Monte Carlo and five fewer for the bootstrap method). However, the screened datasets significantly over-estimated the efficacy (compared to the grouped datasets) by an average of 2.4% over the 80 trials, and for the bootstrap method in particular, were also associated with a tendency to classify trials as efficacious or inconclusive rather than inconclusive or confirmed anthelmintic resistance. Each of the 25 trials with 100% observed reductions were classified as inconclusive by the Markov chain Monte Carlo method using screened, unscreened and grouped datasets, indicating that the non-parametric bootstrap classification of efficacious produced by the non-parametric bootstrap is not reliable for these datasets. Based on the grouped data from the remaining 55 trials with observed reductions of less than 100%, 19 were classified as confirmed anthelmintic resistance by both Markov chain Monte Carlo and bootstrap, 26 as inconclusive by both methods, 3 as inconclusive by bootstrap but confirmed anthelmintic resistance by Markov chain Monte Carlo, and 7 as efficacious by bootstrap but inconclusive by Markov chain Monte Carlo. Full results of the comparison between the analytical methods are given in the Supplementary data file.
4. Discussion
This study provides an insight into the current state of efficacy of injectable macrocyclic lactone anthelmintics on commercial cattle farms in Germany, Italy, France and the UK. The efficacy in this study was calculated based on arithmetic group means before and after treatment, and was evaluated taking both the lower and upper 95% confidence limit into account. This allowed the definition of three categories: efficacious, confirmed anthelmintic resistance or inconclusive (Lyndal-Murphy et al., 2014). As the criteria are based on upper and lower 95% confidence intervals as well as a calculated percent reduction, the conclusions are dependent on accurate estimates obtained using an appropriate statistical method. In the main text of this paper, standard non-parametric bootstrap methods have been used to estimate the lower and upper 95% confidence intervals. Based on these estimates and on the interpretation as suggested by Lyndal-Murphy et al. (2014), a considerable number of groups were classified as inconclusive. Without consideration of the upper 95% confidence interval these groups would be incorrectly classified as either suspected or confirmed anthelmintic resistance.
Using the Markov chain Monte Carlo method presented in the supplementary file to generate 95% confidence intervals, an even larger number of groups were classified as inconclusive. This illustrates the difficulties in accurately evaluating anthelmintic efficacy based on faecal egg counts in cattle, especially in bovine populations with a low baseline faecal egg excretion. It is also important to note that non-parametric bootstrapping is unable to deal appropriately with an observed reduction of 100% (Denwood et al., 2010; Dobson et al., 2012; Torgerson et al., 2014) and can therefore yield incorrect conclusions in these situations. It is concerning that no groups were classified as efficacious by the Markov chain Monte Carlo method, which suggests that larger sample sizes are required to confidently determine situations where the true efficacy is greater than 95%. Nevertheless, a number of farms with confirmed anthelmintic resistance were consistently identified, as discussed below.
The selection of the farms in this study was based on their previous use of macrocyclic lactone compounds which may have led to an increased selection for the development of anthelmintic resistance. However, the main emphasis of this study was not to estimate the true prevalence of anthelmintic resistance on cattle farms in the respective geographical regions. Instead, this study intended to evaluate the current efficacy situation on farms that were selected to be representative of the relevant market, and therefore regularly use macrocyclic lactones. The threshold for adequate efficacy was set at 95% in this study, in line with the recommendations for macrocyclic lactones (Coles et al., 1992, 2006). Nevertheless, this general threshold does not take potential differences in regional management practices or climate factors into account, and might therefore underestimate the anthelmintic resistance status in regions with high baseline efficacy. In Italy for example (Geurden et al., 2014; Rinaldi et al., 2014), high efficacy of anthelmintics are commonly reported in sheep, in contrast to other EU countries, suggesting a higher threshold for efficacy might be required. It was however preferred to use a common threshold for all countries included, for consistency in this multi-centre study. Specifically for Italy, this general threshold is not believed to have resulted in an underestimation of the resistance status, given the low number of cattle excreting eggs after treatment.
The treatment efficacy in our study was evaluated based on faecal egg count rather than worm counts, because the study animals were owned by the farmers. There are a number of limitations associated with anthelmintic efficacy evaluation based on faecal egg counts, which have been discussed before (Dobson et al., 2009; Denwood et al., 2010; Levecke et al., 2011, 2012). In the present study, a diagnostic method with a low detection limit was used to minimise the problems caused by populations with a low to medium baseline faecal egg count. However, even with this detection limit, identifying animals with an adequate infection proved challenging, reflecting the low baseline faecal egg count commonly observed in cattle in Europe. As a result, up to 50 animals had to be screened on each farm prior to treatment in order to reach the target number of 10 animals in the majority of the treatment groups (88% of the treatment groups had 9 or 10 animals). The sample group sizes are in line with previous studies in Europe (Demeler et al., 2009; Areskog et al., 2013), and with the WAAVP guidance on anthelmintic resistance evaluation (Coles et al., 1992). However, larger group sizes are known to increase the accuracy of the efficacy evaluation, which has been noted by several authors using more sophisticated methods of analysis than those recommended in the current WAAVP guidelines (Gill et al., 1986; Denwood et al., 2010; Levecke et al., 2012).
Moxidectin was found to be efficacious on 20 and ivermectin on 16 out of 40 farms (including the datasets with 100% reduction). In all countries except Italy, a high number of farms with decreased efficacy were observed (ivermectin; n = 24 and moxidectin; n = 20). Some of these cases with decreased efficacy were listed as inconclusive, as it is not possible to classify them as fully effective or as confirmed anthelmintic resistance based on the available faecal egg count data. Looking however into the efficacy calculation for each parasite, it is clear that at least part of those inconclusive cases concern a species-specific efficacy below the efficacy threshold for macrocyclic lactones. The adequate or near to adequate efficacy against one nematode species sometimes masks the clear resistance against the other species, and might lead to an underestimation of species-specific resistance cases. Despite this observation, confirmed anthelmintic resistance was found in 5 farms (12.5%) each for moxidectin and ivermectin. In total, 7 farms (17.5%) had confirmed anthelmintic resistance in at least one of the treatment groups, and on 3 farms (7.5%) confirmed anthelmintic resistance was identified in both groups (GE01, UK14 and FR12), confirming previous observations that ivermectin and moxidectin share some degree of cross-resistance, but not complete cross-resistance (Prichard et al., 2012). It is currently thought that both drugs act via irreversibly opening of the GABA and glutamate gate-chloride channels leading to a flaccid paralysis. However, it is unclear which resistance mechanisms apply and it has been discussed whether drug-specific differences in the involved mechanisms (e.g concerning transmembrane P-glycoproteins), may contribute to different drug efficacy phenotypes (Bygarski et al., 2014).
In Italy, decreased efficacy for ivermectin (associated with the nematode Haemonchus spp.) was identified on three farms, although the results were inconclusive. In cattle, anthelmintic resistance against Haemonchus has previously been reported in the US (Gasbarre et al., 2009) and in Brazil (Soutello et al., 2007).
Anthelmintic resistance was confirmed in France for both ivermectin and moxidectin on 1 and 3 farms respectively, but this was mainly associated with the dose-limiting nematode species Cooperia spp. In contrast, anthelmintic resistance in the UK and Germany was due not only to the dose-limiting nematode species, but also to the more pathogenic abomasal nematode O. ostertagi, which was also identified in cases of confirmed anthelmintic resistance. Calculating the species-specific efficacy, confirms that reduced efficacy is mainly observed in Cooperia, although in 25% of the farms for which this calculation could be done, the efficacy of both ivermectin and moxidectin against Ostertagia was below 95% (all in the UK and Germany). This is in contrast to previous efficacy evaluations of macrocyclic lactone compounds under European field conditions, in which decreased efficacy was mostly associated with Cooperia (Demeler et al., 2009; Bartley et al., 2012). In a recent study in Sweden, O. ostertagi was identified on 15% of farms after ivermectin or doramectin treatment with topical formulations (Areskog et al., 2013).
The suppression of the egg excretion by Cooperia spp. worms following moxidectin treatment has been described (Condi et al., 2009; de Graef et al., 2012; Lopes et al., 2014), potentially leading to an overestimation of the moxidectin efficacy against Cooperia spp. based on faecal examination. However, where Cooperia spp. larvae were identified after treatment with ivermectin on our study farms, they were also observed on the same farm (and in similar proportions) after treatment with moxidectin. The comparable proportions after treatment seem to suggest that on farms with decreased efficacy of ivermectin against Cooperia, the efficacy of moxidectin was not overestimated due to a suppressed egg excretion.
The results of the current study indicate that anthelmintic resistance is an increasing reality in three major cattle rearing countries in Europe, and that this concerns not only the dose-limiting species but also O. ostertagi. This should incite the different stakeholders, farmers as well as vets and industry, to work towards what has been referred to as a paradigm shift in parasite control (McArthur and Reinemeyer, 2014). The key message is that management advice should be based on a sound understanding of the parasite epidemiology and farm management, past and present, and that the requirement for and appropriate timing of treatment should be established based on faecal examinations. In the present study, screening of up to 50 animals was needed to identify a sufficient number of animals with an adequate infection prior to treatment. This indicates that not all animals need treatment at the same time and that an approach with targeted treatments could be considered. Different approaches, including Targeted Selective Treatments programs, to decrease the selection pressure for the development of anthelmintic resistance in ruminants, have previously been discussed (Knox et al., 2012; Charlier et al., 2014). The use of combination anthelmintics has also been advocated, in order to increase the farm treatment efficacy and consequently prevent the introduction of resistance genes into the worm population (Smith, 2014) and also to protect any new anthelmintic compound (Bartram et al., 2011; Geary et al., 2012; Knox et al., 2012). Nevertheless, any new combination anthelmintic must be used in a sustainable manner (Lanusse et al., 2014).
Conflicts of interest
At the time of the study Thomas Geurden, Hima Bindu Vanimisetti and David J. Bartram were paid employees of Zoetis, the study Sponsor.
Thomas Geurden, Hima Bindu Vanimisetti and David J. Bartram have been involved in the study design and implementation, as well as in the data analysis and reporting. They have not been involved in the data collection and examination.
Acknowledgements
The authors are grateful to Giovanni Leogrande, Paolo Longhini and Stefano Sartori for their work in the field, Piermarino Milillo for his laboratory work and Riccardo P. Lia at the Department of Veterinary Medicine of Bari, Italy, for the logistic support.
Footnotes
Supplementary data related to this article can be found at http://dx.doi.org/10.1016/j.ijpddr.2015.08.001.
Contributor Information
Thomas Geurden, Email: Thomas.geurden@zoetis.com.
Christophe Chartier, Email: christophe.chartier@oniris-nantes.fr.
Antonio Frangipane di Regalbono, Email: antonio.frangipane@unipd.it.
Donato Traversa, Email: dtraversa@unite.it.
Georg von Samson-Himmelstjerna, Email: samson.georg@vetmed.fu-berlin.de.
Hima Bindu Vanimisetti, Email: himabindu.vanimisetti@zoetis.com.
David J. Bartram, Email: david.bartram@zoetis.com.
Matthew J. Denwood, Email: md@sund.ku.dk.
Appendix A. Supplementary data
The following is the supplementary data related to this article:
References
- Areskog M., Ljungström B., Höglund J. Limited efficacy of pour-on anthelmintic treatment of cattle under Swedish field conditions. Int. J. Parasitol. Drugs. Drug. Resist. 2013;3:129–134. doi: 10.1016/j.ijpddr.2013.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bartley D.J., McArthur C.L., Devin L.M., Sutra J.F., Morrison A.A., Lespine A., Matthews J.B. Characterisation of macrocyclic lactone resistance in two field-derived isolates of Cooperia oncophora. Vet. Parasitol. 2012;190:454–460. doi: 10.1016/j.vetpar.2012.07.022. [DOI] [PubMed] [Google Scholar]
- Bartram D.J., Leathwick D.M., Taylor M.A., Geurden T., Maeder S.J. The role of combination anthelmintic formulations in the sustainable control of sheep nematodes. Vet. Parasitol. 2011;186:151–158. doi: 10.1016/j.vetpar.2011.11.030. [DOI] [PubMed] [Google Scholar]
- Bygarski E.E., Prichard R.K., Ardelli B.F. Resistance to the macrocyclic lactone moxidectin is mediated in part by membrane transporter P-glycoproteins: implications for control of drug resistant parasitic nematodes. Int. J. Parasitol. Drugs Drug Resist. 2014;12:143–151. doi: 10.1016/j.ijpddr.2014.06.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Calvete C., Uriarte J. Improving the detection of anthelmintic resistance: evaluation of faecal egg count reduction test procedures suitable for farm routines. Vet. Parasitol. 2013;196:438–452. doi: 10.1016/j.vetpar.2013.02.027. [DOI] [PubMed] [Google Scholar]
- Charlier J., Morgan E.R., Rinaldi L., van Dijk J., Demeler J., Höglund J., Hertzberg H., Van Ranst B., Hendrickx G., Vercruysse J., Kenyon F. Practices to optimise gastrointestinal nematode control on sheep, goat and cattle farms in Europe using targeted (selective) treatments. Vet. Rec. 2014;175:250–255. doi: 10.1136/vr.102512. [DOI] [PubMed] [Google Scholar]
- Coles G.C., Bauer C., Borgsteede F.H., Geerts S., Klei T.R., Taylor M.A., Waller P.J. World association for the advancement of veterinary parasitology (W.A.A.V.P.) methods for the detection of anthelmintic resistance in nematodes of veterinary importance. Vet. Parasitol. 1992;44:35–44. doi: 10.1016/0304-4017(92)90141-u. [DOI] [PubMed] [Google Scholar]
- Coles G.C., Jackson F., Pomroy W.E., Prichard R.K., von Samson-Himmelstjerna G., Silvestre A., Taylor M.A., Vercruysse J. The detection of anthelmintic resistance in nematodes of veterinary importance. Vet. Parasitol. 2006;136:167–185. doi: 10.1016/j.vetpar.2005.11.019. [DOI] [PubMed] [Google Scholar]
- Condi G.K., Soutello R.G., Amarante A.F. Moxidectin-resistant nematodes in cattle in Brazil. Vet. Parasitol. 2009;161:213–217. doi: 10.1016/j.vetpar.2009.01.031. [DOI] [PubMed] [Google Scholar]
- De Graef J., Sarre C., Mills B.J., Mahabir S., Casaert S., De Wilde N., Van Weyenberg M., Geldhof P., Marchiondo A., Vercruysse J., Meeus P., Claerebout E. Assessing resistance against macrocyclic lactones in gastro-intestinal nematodes in cattle using the faecal egg count reduction test and the controlled efficacy test. Vet. Parasitol. 2012;189:378–382. doi: 10.1016/j.vetpar.2012.04.040. [DOI] [PubMed] [Google Scholar]
- Demeler J., Van Zeveren A.M., Kleinschmidt N., Vercruysse J., Höglund J., Koopmann R., Cabaret J., Claerebout E., Areskog M., von Samson-Himmelstjerna G. Monitoring the efficacy of ivermectin and albendazole against gastro intestinal nematodes of cattle in Northern Europe. Vet. Parasitol. 2009;160:109–115. doi: 10.1016/j.vetpar.2008.10.030. [DOI] [PubMed] [Google Scholar]
- Denwood M.J., Reid S.W., Love S., Nielsen M.K., Matthews L., McKendrick I.J., Innocent G.T. Comparison of three alternative methods for analysis of equine faecal egg count reduction test data. Prev. Vet. Med. 2010;93:316–323. doi: 10.1016/j.prevetmed.2009.11.009. [DOI] [PubMed] [Google Scholar]
- Denwood M.J., Love S., Innocent G.T., Matthews L., McKendrick I.J., Hillary N., Reid S.W.J. Quantifying the sources of variability in equine faecal egg counts: implications for improving the utility of the method. Vet. Parasitol. 2012;188:120–126. doi: 10.1016/j.vetpar.2012.03.005. [DOI] [PubMed] [Google Scholar]
- Denwood M.J. 2015. Bayescount: Analysis of Faecal Egg Count Distributions, Faecal Egg Count Reduction Tests, and Prospective Power Calculations Using Computationally Intensive Statistical Techniques. R Package Version 0.9.99-4.http://cran.r-project.org/package=bayescount URL. [Google Scholar]
- Dobson R.J., Sangster N.C., Besier R.B., Woodgate R.G. Geometric means provide a biased efficacy result when conducting a faecal egg count reduction test (FECRT) Vet. Parasitol. 2009;161:162–167. doi: 10.1016/j.vetpar.2008.12.007. [DOI] [PubMed] [Google Scholar]
- Dobson R.J., Hosking B.C., Jacobson C.L., Cotter J.L., Besier R.B., Stein P.A., Reid S.A. Preserving new anthelmintics: a simple method for estimating faecal egg count reduction test (FECRT) confidence limits when efficacy and/or nematode aggregation is high. Vet. Parasitol. 2012;186:79–92. doi: 10.1016/j.vetpar.2011.11.049. [DOI] [PubMed] [Google Scholar]
- Edmonds M.D., Johnson E.G., Edmonds J.D. Anthelmintic resistance of Ostertagia ostertagi and Cooperia oncophora to macrocyclic lactones in cattle from the western United States. Vet. Parasitol. 2010;170:224–229. doi: 10.1016/j.vetpar.2010.02.036. [DOI] [PubMed] [Google Scholar]
- El-Abdellati A., Geldhof P., Claerebout E., Vercruysse J., Charlier J. Monitoring macrocyclic lactone resistance in Cooperia oncophora on a Belgian cattle farm during four consecutive years. Vet. Parasitol. 2010;171:167–171. doi: 10.1016/j.vetpar.2010.03.003. [DOI] [PubMed] [Google Scholar]
- El-Abdellati A., Charlier J., Geldhof P., Levecke B., Demeler J., von Samson-Himmelstjerna G., Claerebout E., Vercruysse J. The use of a simplified faecal egg count reduction test for assessing anthelmintic efficacy on Belgian and German cattle farms. Vet. Parasitol. 2010;169:352–357. doi: 10.1016/j.vetpar.2010.01.015. [DOI] [PubMed] [Google Scholar]
- Gasbarre L.C., Smith L.L., Lichtenfels J.R., Pilitt P.A. The identification of cattle nematode parasites resistant to multiple classes of anthelmintics in a commercial cattle population in the US. Vet. Parasitol. 2009;166:281–285. doi: 10.1016/j.vetpar.2009.08.018. [DOI] [PubMed] [Google Scholar]
- Geary T.G., Hosking B.C., Skuce P.J., von Samson-Himmelstjerna G., Maeder S., Holdsworth P., Pomroy W., Vercruysse J. World association for the advancement of veterinary parasitology (W.A.A.V.P.) Guideline: anthelmintic combination products targeting nematode infections of ruminants and horses. Vet. Parasitol. 2012;190:306–316. [Google Scholar]
- Geurden T., Hoste H., Jacquiet P., Traversa D., Sotiraki S., Frangipane di Regalbono A., Tzanidakis N., Kostopoulou D., Gaillac C., Privat S., Giangaspero A., Zanardello C., Noé L., Vanimisetti B., Bartram D. Anthelmintic resistance and multidrug resistance in sheep gastro-intestinal nematodes in France, Greece and Italy. Vet. Parasitol. 2014;201:59–66. doi: 10.1016/j.vetpar.2014.01.016. [DOI] [PubMed] [Google Scholar]
- Gill J.L., Ericsson G.F., Helland I.S. Precision of assessing anthelmintic efficacy. Biometrics. 1986;42:981–987. [PubMed] [Google Scholar]
- Knox M.R., Besier R.B., Le Jambre L.F., Kaplan R.M., Torres-Acosta J.F., Miller J., Sutherland I. Novel approaches for the control of helminth parasites of livestock VI: summary of discussions and conclusions. Vet. Parasitol. 2012;186:143–149. doi: 10.1016/j.vetpar.2011.11.054. [DOI] [PubMed] [Google Scholar]
- Lanusse C., Alvarez L., Lifschitz A. Pharmacological knowledge and sustainable anthelmintic therapy in ruminants. Vet. Parasitol. 2014;204:18–33. doi: 10.1016/j.vetpar.2013.11.003. [DOI] [PubMed] [Google Scholar]
- Leathwick D.M., Miller C.M. Efficacy of oral, injectable and pour-on formulations of moxidectin against gastrointestinal nematodes in cattle in New Zealand. Vet. Parasitol. 2013;191:293–300. doi: 10.1016/j.vetpar.2012.09.020. [DOI] [PubMed] [Google Scholar]
- Levecke B., Rinaldi L., Charlier J., Maurelli M.P., Morgoglione M.E., Vercruysse J., Cringoli G. Monitoring drug efficacy against gastrointestinal nematodes when faecal egg counts are low: do the analytic sensitivity and the formula matter? Parasitol. Res. 2011;109:953–957. doi: 10.1007/s00436-011-2338-z. [DOI] [PubMed] [Google Scholar]
- Levecke B., Rinaldi L., Charlier J., Maurelli M.P., Bosco A., Vercruysse J., Cringoli G. The bias, accuracy and precision of faecal egg count reduction test results in cattle using McMaster, Cornell-Wisconsin and FLOTAC egg counting methods. Vet. Parasitol. 2012;188:194–199. doi: 10.1016/j.vetpar.2012.03.017. [DOI] [PubMed] [Google Scholar]
- Lopes W.D., Teixeira W.F., Felippelli G., Cruz B.C., Maciel W.G., Soares V.E., dos Santos T.R., de Matos L.V., Fávero F.C., da Costa A.J. Assessing resistance of ivermectin and moxidectin against nematodes in cattle naturally infected using three different methodologies. Res. Vet. Sci. 2014;96:133–138. doi: 10.1016/j.rvsc.2013.11.001. [DOI] [PubMed] [Google Scholar]
- Lyndal-Murphy M., Swain A.J., Pepper P.M. Methods to determine resistance to anthelmintics when continuing larval development occurs. Vet. Parasitol. 2014;199:191–200. doi: 10.1016/j.vetpar.2013.11.002. [DOI] [PubMed] [Google Scholar]
- McArthur C.L., Bartley D.J., Shaw D.J., Matthews J.B. Assessment of ivermectin efficacy against gastrointestinal nematodes in cattle on four Scottish farms. Vet. Rec. 2011;169:658. doi: 10.1136/vr.100084. [DOI] [PubMed] [Google Scholar]
- McArthur M.J., Reinemeyer C.R. Herding the U.S. cattle industry toward a paradigm shift in parasite control. Vet. Parasitol. 2014;204:34–43. doi: 10.1016/j.vetpar.2013.12.021. [DOI] [PubMed] [Google Scholar]
- Prichard R.K., Ménez C., Lespine A. Moxidectin and the avermectins: consanguinity but not identity. Int. J. Parasitol. Drugs Drug Resist. 2012;2:134–153. doi: 10.1016/j.ijpddr.2012.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- R Core Team . R Foundation for Statistical Computing; Vienna, Austria: 2015. R: a language and environment for statistical computing.http://www.R-project.org/ URL. [Google Scholar]
- Rinaldi L., Morgan E.R., Bosco A., Coles G.C., Cringoli G. The maintenance of anthelmintic efficacy in sheep in a mediterranean climate. Vet. Parasitol. 2014;203:139–143. doi: 10.1016/j.vetpar.2014.02.006. [DOI] [PubMed] [Google Scholar]
- Smith L.L. Combination anthelmintics effectively control ML-resistant parasites; a real-world case history. Vet. Parasitol. 2014;204:12–17. doi: 10.1016/j.vetpar.2013.12.020. [DOI] [PubMed] [Google Scholar]
- Soutello R., Seno M.C., Amarante A.F. Anthelmintic resistance in cattle nematodes in northwestern São Paulo State, Brazil. Vet. Parasitol. 2007;148:360–364. doi: 10.1016/j.vetpar.2007.06.023. [DOI] [PubMed] [Google Scholar]
- Stromberg B.E., Gasbarre L.C., Waite A., Bechtol D.T., Brown M.S., Robinson N.A., Olson E.J., Newcomb H. Cooperia punctata: effect on cattle productivity? Vet. Parasitol. 2012;183:284–291. doi: 10.1016/j.vetpar.2011.07.030. [DOI] [PubMed] [Google Scholar]
- Sutherland I.A., Leathwick D.M. Anthelmintic resistance in nematode parasites of cattle: a global issue? Trends Parasitol. 2011;27:176–181. doi: 10.1016/j.pt.2010.11.008. [DOI] [PubMed] [Google Scholar]
- Torgerson P.R., Paul M., Furrer R. Evaluating faecal egg count reduction using a specifically designed package “eggCounts” in R and a user friendly web interface. Int. J. Parasitol. 2014;44:299–303. doi: 10.1016/j.ijpara.2014.01.005. [DOI] [PubMed] [Google Scholar]
- Van Wyk J.A., Mayhew E. Morphological identification of parasitic nematode infective larvae of small ruminants and cattle: a practical lab guide. Onderstepoort J. Veterinary Res. 2013;80(1):14. doi: 10.4102/ojvr.v80i1.539. Art. #539. [DOI] [PubMed] [Google Scholar]
- Vidyashankar A.N., Kaplan R.M., Chan S. Statistical approach to measure the efficacy of anthelmintic treatment on horse farms. Parasitology. 2007;134:2027–2039. doi: 10.1017/S003118200700340X. [DOI] [PubMed] [Google Scholar]
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