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使用潜在类别分析评估自然感染布鲁氏菌病牛的三种血清学检测方法。

Evaluation of three serological tests for brucellosis in naturally infected cattle using latent class analysis.

作者信息

Muma J B, Toft N, Oloya J, Lund A, Nielsen K, Samui K, Skjerve E

机构信息

Department of Disease Control, University of Zambia, School of Veterinary Medicine, Lusaka, Zambia.

出版信息

Vet Microbiol. 2007 Nov 15;125(1-2):187-92. doi: 10.1016/j.vetmic.2007.05.012. Epub 2007 May 21.

DOI:10.1016/j.vetmic.2007.05.012
PMID:17590540
Abstract

Serological methods are traditionally used in diagnosis of brucellosis. However, the comparative performance of these tests and their accuracy under the local environment in Zambia has not been assessed. Thus, the objective of our study was to evaluate the diagnostic performance of three serological tests for brucellosis; Rose Bengal Test (RBT), competitive ELISA (c-ELISA) and Fluorescence Polarisation Assay (FPA) in naturally infected cattle in Zambia without an appropriate reference test to classify animals into truly infected and non-infected. Serological test results from a study to determine sero-prevalence were used to compare the performance of RBT, c-ELISA and FPA in diagnosing brucellosis in traditional cattle. Since none of the tests can be seen as a perfect reference test or gold standard, their performance in a population of naturally infected cattle was evaluated using latent class analysis which allows the sensitivity (Se) and specificity (Sp) to be estimated in the absence of a gold standard. The highest Se was achieved by the c-ELISA (97%; Credible Posterior Interval (CPI)=93-100%) and the highest Sp by the FPA (93%; CPI=85-99%), conversely these tests also had the lowest Sp and Se, respectively, with the RBT performing well in both the Se (93%; CPI=84-98%) and Sp (81%; CPI=61-97).

摘要

血清学方法传统上用于布鲁氏菌病的诊断。然而,这些检测方法在赞比亚当地环境下的比较性能及其准确性尚未得到评估。因此,我们研究的目的是评估三种布鲁氏菌病血清学检测方法的诊断性能;即玫瑰红试验(RBT)、竞争酶联免疫吸附测定(c-ELISA)和荧光偏振测定法(FPA),用于在赞比亚自然感染的牛群中进行检测,且没有合适的参考检测方法将动物分类为真正感染和未感染。一项确定血清流行率的研究中的血清学检测结果被用于比较RBT、c-ELISA和FPA在传统牛群中诊断布鲁氏菌病的性能。由于没有一种检测方法可被视为完美的参考检测方法或金标准,因此使用潜在类别分析评估了它们在自然感染牛群中的性能,该分析允许在没有金标准的情况下估计敏感性(Se)和特异性(Sp)。c-ELISA实现了最高的敏感性(97%;可信后验区间(CPI)=93-100%),FPA实现了最高的特异性(93%;CPI=85-99%),相反,这些检测方法也分别具有最低的特异性和敏感性,而RBT在敏感性(93%;CPI=84-98%)和特异性(81%;CPI=61-97)方面表现良好。

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