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应用贝叶斯潜在类别模型对多项诊断检测数据进行分析,以确定猪弓形虫感染 ELISA 检测的最佳截断值。

Determination of an optimal ELISA cut-off for the diagnosis of Toxoplasma gondii infection in pigs using Bayesian latent class modelling of data from multiple diagnostic tests.

机构信息

Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Grønnegårdsvej 8, DK-1870 Frederiksberg, Denmark; Department of Food Safety, Veterinary Issues & Risk Analysis, Danish Agriculture & Food Council, Axelborg, Axeltorv 3, DK-1609 Copenhagen, Denmark.

Department of Bacteria, Parasites & Fungi, Statens Serum Institut, Artillerivej 5, DK-2300 Copenhagen, Denmark.

出版信息

Prev Vet Med. 2022 Apr;201:105606. doi: 10.1016/j.prevetmed.2022.105606. Epub 2022 Mar 3.

Abstract

Toxoplasma gondii infection in pigs is commonly diagnosed using serological tests that detect IgG antibodies targeted against the parasite. Such tests include enzyme-linked immunosorbent assay (ELISA), modified agglutination test (MAT), and western blot (WB), which are commercially available as rapid test kits. In this study, we evaluated the manufacturer recommended cut-off of ELISA-PrioCHECK test kit and determined a new optimal cut-off for identifying T. gondii infections in pigs. Assessment of the commercial ELISA kit was done by including data from two additional serological tests, MAT, and WB, applied to seven pig population categories with varying prevalences. A total of 233 plasma samples that were previously used in other studies for investigating T. gondii seroprevalence in pigs in Denmark were randomly selected for inclusion, including 95 samples that had previously been analysed with all three tests and an additional 138 samples that were analysed using the three serological tests for this study. In the absence of a gold standard test, a latent class model was fit to the data to obtain estimates of sensitivity and specificity for each of the tests along with prevalence in each of the populations. A cut-off that maximized the sensitivity and specificity of the ELISA test was then selected. The optimal cut-off value for percent of positive control (PP) in ELISA-PrioCHECK was estimated to be 27.7 PP, which is higher than the cut-off value of 20 PP that is recommended by the manufacturer. At this cut-off, the estimated sensitivities of ELISA, MAT and WB were 99.2% (96.3-100.0%), 96.3% (88.0-100.0%), and 89.8% (80.0-98.0%), respectively. The estimated specificities of ELISA, MAT and WB were 95.2% (92.5-97.6%), 99.6% (97.5-100.0%), and 98.2% (95.9-100.0%), respectively. Our findings have broad relevance to the use of the ELISA-PrioCHECK test kit for detecting Toxoplasma gondii infection in pigs.

摘要

弓形虫感染在猪中通常通过检测针对寄生虫的 IgG 抗体的血清学试验来诊断。此类试验包括酶联免疫吸附试验(ELISA)、改良凝集试验(MAT)和免疫印迹(WB),这些试验都有商品化的快速试剂盒。在这项研究中,我们评估了 ELISA-PrioCHECK 试剂盒制造商推荐的截断值,并确定了一种新的最佳截断值,用于识别猪中的弓形虫感染。通过纳入另外两个血清学试验(MAT 和 WB)的数据来评估商业 ELISA 试剂盒,这些数据适用于具有不同流行率的七个猪群类别。共有 233 份血浆样本被随机选择纳入,这些样本来自丹麦之前用于研究猪弓形虫血清流行率的其他研究,其中包括 95 份曾用所有三种方法分析的样本和另外 138 份用于本研究的三种血清学方法分析的样本。由于没有金标准检测方法,因此使用潜在类别模型拟合数据,以获得每种检测方法的敏感性和特异性以及每种人群的流行率估计值。然后选择了一个最大化 ELISA 试验敏感性和特异性的截断值。ELISA-PrioCHECK 中阳性对照百分比(PP)的最佳截断值估计为 27.7 PP,高于制造商推荐的 20 PP 的截断值。在此截断值下,ELISA、MAT 和 WB 的估计敏感性分别为 99.2%(96.3-100.0%)、96.3%(88.0-100.0%)和 89.8%(80.0-98.0%)。ELISA、MAT 和 WB 的估计特异性分别为 95.2%(92.5-97.6%)、99.6%(97.5-100.0%)和 98.2%(95.9-100.0%)。我们的研究结果对于使用 ELISA-PrioCHECK 试剂盒检测猪中的弓形虫感染具有广泛的意义。

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