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首页> 外文期刊>Preventive Veterinary Medicine >Estimating diagnostic accuracy of fecal culture in liquid media for the detection of Mycobacterium avium subsp paratuberculosis infections in Quebec dairy cows: A latent class model
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Estimating diagnostic accuracy of fecal culture in liquid media for the detection of Mycobacterium avium subsp paratuberculosis infections in Quebec dairy cows: A latent class model

机译:估算液体培养基中粪便培养物的诊断准确性检测魁北克乳房奶牛牛奶牛的分枝杆菌:潜在阶级模型

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A latent class model fit within a Bayesian framework was used to estimate the sensitivity and specificity of individual fecal culture (IFC) in liquid medium (Para TB culture liquid medium and BACTEC MGIT 960 system) for the detection of Mycobacterium avium subsp. paratuberculosis (MAP) infections in Quebec dairy cows. As a secondary objective, the within-herd paratuberculosis prevalence was estimated. A dataset including 21 commercial Quebec dairy herds participating in previous research projects was retrospectively analyzed. In total, 1386 adult cows on which both IFC and serum-ELISA were available were included. The selected latent class model assumed conditional dependence between the tests. Non-informative priors for IFC accuracy and paratuberculosis prevalence were used while informative priors, obtained from the literature, were used for serumELISA accuracy. The WinBUGS statistical freeware was used to obtain posterior estimates (medians and 95% Bayesian credibility intervals (95% BCI)) for each parameter. The sensitivity and specificity estimates for IFC were 34.4% (95% BCE 20.3-66.1) and 99.5% (95% BCI: 98.6-100), respectively. Sensitivity and specificity for serum-ELISA were 27.3% (95% BCI: 18.1-38.3) and 97.4% (95% BCI: 96.6-98.0). Median paratuberculosis within herd prevalence was estimated to be 0.3% (0-3.3). In conclusion, a higher sensitivity of IFC compared to serum-ELISA was observed both in the unconditional and conditional dependent models. Since the sensitivity of both IFC and serum-ELISA was relatively low, conditional dependence between the tests is more likely in the true disease positive animals. We hypothesize that conditional dependence arises because an unmeasured covariate influences the performance of both tests among disease positive animals causing both tests to incorrectly misclassify the animal as negative. One limitation of this study was the very low within herd prevalence of the participant herds.
机译:用于贝叶斯框架内的潜在类模型适用于估计液体培养基(Para TB培养液体介质和Bactec Mgit 960系统)中单个粪便培养(IFC)的敏感性和特异性,用于检测分枝杆菌亚空间。魁北克奶牛的副植物病(地图)感染。作为次要目的,估计了群中患有内的副植入普遍性。回顾了一个数据集,包括参加以前的研究项目的21个商业魁北克乳业牛群。共有1386名成人奶牛,其中可提供IFC和血清-ELISA。所选的潜在类模型假设测试之间的条件依赖性。 IFC准确性和对副植物患病率的非信息前瞻性,而从文献中获得的信息性前锋用于血清素准确性。 Winbugs统计免费软件用于获得每个参数的后估计(中位数和95%贝叶斯信誉间隔(95%BCI))。 IFC的敏感性和特异性估计分别为34.4%(95%BCE 20.3-66.1)和99.5%(95%BCI:98.6-100)。血清-ELISA的敏感性和特异性为27.3%(95%BCI:18.1-38.3)和97.4%(95%BCI:96.6-98.0)。畜群患病率内的中位数甲状腺抑制估计为0.3%(0-3.3)。总之,在无条件和条件依赖模型中观察到与血清-ELISA相比,IFC的敏感性更高。由于IFC和血清-ELISA的敏感性相对较低,因此测试之间的有条件依赖性更可能在真正的疾病阳性动物中。我们假设有条件的依赖性产生,因为未测量的协变量会影响疾病阳性动物的两种测试的性能,导致两种试验错误地将动物切错为阴性。本研究的一个限制是参与者群的牧群流行中的低位。

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