Department of Production Animal Clinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Universitetstunet 3, Ås, 1433, Norway.
Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 8, DK-1870 Frederiksberg, Denmark.
Prev Vet Med. 2024 Jul;228:106213. doi: 10.1016/j.prevetmed.2024.106213. Epub 2024 May 8.
The common liver fluke, Fasciola hepatica, is a trematode parasite found worldwide, typically with a focal distribution due to its requirement for suitable climatic and environmental conditions to complete its lifecycle. Bovine fasciolosis causes suboptimal production and economic losses, including liver condemnation at slaughter. The lack of reliable diagnostic methods is a disadvantage to the increasing demand for surveillance and control. The aim of this study was to evaluate the diagnostic accuracy of bulk tank milk (BTM) antibody testing and aggregated abattoir registrations (AAR) of liver fluke as herd-level tests for F. hepatica infection using Bayesian latent class models. Data from the abattoirs in 2019-2021 and BTM, sampled in the winter of 2020/2021, were collected from 437 herds on the southwest coast of Norway. The BTM samples were analysed with the SVANOVIR® F. hepatica-Ab ELISA test, with results given as an optical density ratio (ODR), and later dichotomized using the recommended cut-off value from the test manufacturer (ODR ≥0.3). Based on the BTM ELISA test, 47.8% of the herds tested positive. The AAR test was defined as the herd-level proportion of female slaughtered animals registered with liver fluke infection during the study period. For this test, three cut-offs were used (a proportion of 0.05, 0.1 and 0.2). The herds were split into two subpopulations ("Coastal" and "Inland"), which were expected to differ in true prevalence of F. hepatica infection based on climate-related and geographical factors. The diagnostic accuracies of both tests were estimated using Bayesian latent class models with minimally informative priors. Post-hoc analysis revealed that the maximum sum of sensitivity (Se) and specificity (Sp) of the tests was achieved with a herd-level proportion of ≥0.1 registered with liver fluke as the AAR test. Using this cut-off, the median estimate for the diagnostic accuracy of the BTM ELISA was 90.4% (84.0-96.2 95% Posterior Credible Interval (PCI)) for Se and 95.3% (90.6-100% PCI) for Sp, while the median estimate of Se for AAR was 87.5% (81.4-93.1% PCI) and the median estimate of Sp for AAR was 91.0% (85.2-96.5% PCI). The cut-off evaluation of the SVANOVIR® F. hepatica-Ab ELISA test for BTM confirmed the manufacturer's recommended cut-off of ODR ≥0.3 to denote positive and negative herds. This study suggests that AAR and BTM ELISA test can be used as herd-level tools to monitor liver fluke infection, so that appropriate interventions against infection can be implemented as necessary.
肝片形吸虫是一种世界性的吸虫寄生虫,通常呈局灶性分布,因为它需要合适的气候和环境条件才能完成生命周期。牛肝片形吸虫病会导致生产不理想和经济损失,包括在屠宰时肝脏被废弃。缺乏可靠的诊断方法是对不断增加的监测和控制需求的一个不利因素。本研究旨在使用贝叶斯潜在类别模型评估批量奶(BTM)抗体检测和聚集屠宰场登记(AAR)作为肝片形吸虫感染的 herd-level 检测的诊断准确性。从挪威西南海岸的 437 个牧场收集了 2019-2021 年屠宰场的数据和 2020-2021 年冬季采集的 BTM 样本。BTM 样本使用 SVANOVIR®F. hepatica-Ab ELISA 测试进行分析,结果以光密度比(ODR)表示,然后使用测试制造商推荐的截断值(ODR≥0.3)进行二分法。根据 BTM ELISA 测试,47.8%的牧场检测呈阳性。AAR 测试定义为研究期间登记有肝片形吸虫感染的雌性屠宰动物的 herd-level 比例。对于此测试,使用了三个截断值(0.05、0.1 和 0.2 的比例)。将牧场分为两个亚群(“沿海”和“内陆”),预计这两个亚群的肝片形吸虫感染真实流行率会因气候相关和地理因素而有所不同。使用具有最小信息先验的贝叶斯潜在类别模型估计了两种测试的诊断准确性。事后分析表明,当 AAR 测试的 herd-level 比例≥0.1 登记有肝片吸虫时,测试的最大总和敏感性(Se)和特异性(Sp)达到最高。使用该截断值,BTM ELISA 的诊断准确性中位数估计值为 90.4%(84.0-96.2 95%后验可信区间(PCI))用于 Se,95.3%(90.6-100%PCI)用于 Sp,而 AAR 的 Se 的中位数估计值为 87.5%(81.4-93.1%PCI),AAR 的 Sp 的中位数估计值为 91.0%(85.2-96.5%PCI)。SVANOVIR®F. hepatica-Ab ELISA 测试对 BTM 的截断值评估证实了制造商推荐的 ODR≥0.3 截断值用于表示阳性和阴性牧场。本研究表明,AAR 和 BTM ELISA 测试可作为 herd-level 工具用于监测肝片形吸虫感染,以便在必要时实施针对感染的适当干预措施。