A questionnaire survey on helminth control on horse farms in Brandenburg, Germany and the assessment of risks caused by different kinds of management.

Control strategies for horse helminths are controversially discussed, and no ideal strategy exists. Presently, the spreading of anthelmintic resistance against all three classes of anthelmintics is of special concern. Advice on how to slow the development of anthelmintic resistance does not seem to have reached the majority of horse owners yet. In our study, we wanted to capture the current standard of helminth control and to analyse the effectiveness of these control strategies. Seven hundred horse farms in Brandenburg, Germany were sent a questionnaire in June/July 2006 asking various questions on farm structure and practices of helminth control. Two hundred thirty-five farms (33.6%) with 6,007 horses in total returned the questionnaire. The number of horses held on each farm varied from 1 to 320. From those returned questionnaires, a random sample of 126 horse farms and 1,407 horses was selected for faecal examination from August to December 2006. The questionnaire results from these farms were correlated with results from the faecal examination to perform risk analysis via multivariate regression. For each farm, results from faecal examination were summarized in index values. Risk was defined as an over-average level of strongyle egg shedding. Risk factors as established by multivariate regression analyses were integrated into three models. Rare deworming and infrequent cleaning of stables were identified as significant risk factors throughout all three models. Additional risk factors could be identified with respect to individual models: elevated percentage of young horses on a farm, not using macrocyclic lactones in the deworming process and dosing anthelmintics on the basis of weight and height. Pasture hygiene did not lead to significant risk reduction, indicating that such measures are inadequately performed on many farms. The questionnaire on its own gave us an insight into control strategies throughout a representative scope of farms in Brandenburg, Germany: faeces were collected from pasture on 22% of horse farms, 79% cleaned out the stables daily. A number of other measures were employed. With respect to anthelmintic use, 21% of the farms stated to use results from faecal examination as a criterion for deworming. We could also identify the most common deworming frequencies, with adult horses being dewormed two times a year (46% of farms) and foals being dewormed four times a year (35% of farms). The frequency ranged from 1 to 7 and 2 to 12 times, respectively.

Prevalence of helminths in horses in the state of Brandenburg, Germany.

The objective of the study was to estimate the prevalence of helminths in the horse population of the state of Brandenburg, Germany. One hundred and twenty-six horse farms in the state were selected by randomised stratified sampling. In total, 1,407 horses across all farms were examined coproscopically. The experimental unit was the horse farm: a farm was considered infected when at least one horse on the farm investigated was positive for helminth eggs. Animal details such as age, breed and sex were collected for all study horses and analysed for risk of infection. Risk was defined as horses having an above-average shedding of strongyle eggs. The following prevalence on horse farm level were established: Cyathostominae (98.4%), ascarids (16.7%), tapeworms (14.3%), pinworms (8.7%) and strongyloides (4,0%). The large strongyle Strongylus vulgaris was identified on only one farm. Liver flukes and lungworms were not found. Age, breed and sex were identified as risk factors for high shedding of strongyle eggs of individual animals: odds ratios for higher shedding intensities were 4.18 for yearlings and 2.42 for fillies compared to adult animals, and 3.69 for heavy breeds and 4.94 for wild horses compared to thoroughbreds. Mares and stallions did shed more strongyle eggs than geldings. Knowledge about the helminth prevalence will allow the issuance of specific treatment recommendations. Furthermore, the information on risk factors of individual horses will facilitate targeting single animals for selective treatments.