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一种间接酶联免疫吸附测定法(iELISA)用于筛查西非牛群的诊断准确性

Diagnostic Accuracy of an Indirect Enzyme Linked Immunosorbent Assay (iELISA) for Screening of in Cattle from West Africa.

作者信息

Toure Alassane, Sanogo Moussa, Sghiri Abdelmalek, Sahibi Hamid

机构信息

UFR Sciences de la Nature, Nangui Abrogoua University, P.O. Box 801 Abidjan 02, Côte d'Ivoire.

Laboratoire Central Vétérinaire de Bingerville, LANADA, P.O. Box 206 Bingerville, Côte d'Ivoire.

出版信息

Life (Basel). 2023 Jan 10;13(1):203. doi: 10.3390/life13010203.

Abstract

The epidemiology of corresponding tick-borne diseases has changed as a result of the recent introduction of Rhipicephalus (Boophilus) microplus to West Africa. The current study aimed to assess the diagnostic performance of an indirect ELISA for the detection of Babesia bovis infection in cattle. In a cross-section study, using a Bayesian Latent Class Model and iELISA diagnostic test for cattle babesiosis due to Babesia bovis, accuracy has been assessed with RT-PCR as an imperfect reference test. A total of 766 cattle were tested. The optimal diagnostic performances were obtained with 5% percentage of positivity. Sensitivity and specificity were, respectively, 0.94 [Cr. I.: 0.85−0.99] and 0.89 [Cr. I.: 0.87−0.92]. Additional diagnostic characteristics revealed that the Positive Predictive Value (PPV) and Negative Predictive Value (NPV) were 96.6% [Cr. I.: 92.7−100%] and 82.2% [Cr. I.: 72−93%]. Overall, this test well discriminates an infected status from an uninfected status considering the area under the ROC curve (AUC) which was 0.78 [Cr. I: 0.72−0.85] and a Diagnostic Odds Ratio (DOR) of 127.8 [Cr. I.: 10.43−1562.27]. The AUC was significantly higher than 0.5 (p < 10−5). In consequence, this serologic assay could be suitable in moderate to high prevalence assessments.

摘要

由于近期微小扇头蜱(Rhipicephalus (Boophilus) microplus)传入西非,相应蜱传疾病的流行病学已发生变化。本研究旨在评估间接ELISA检测牛巴贝斯虫感染的诊断性能。在一项横断面研究中,使用贝叶斯潜在类别模型和针对牛巴贝斯虫病的iELISA诊断试验,以RT-PCR作为不完善的参考试验评估准确性。共检测了766头牛。阳性率为5%时获得了最佳诊断性能。敏感性和特异性分别为0.94 [可信区间:0.85−0.99] 和0.89 [可信区间:0.87−0.92]。其他诊断特征显示,阳性预测值(PPV)和阴性预测值(NPV)分别为96.6% [可信区间:92.7−100%] 和82.2% [可信区间:72−93%]。总体而言,考虑到ROC曲线下面积(AUC)为0.78 [可信区间:0.72−0.85] 和诊断比值比(DOR)为127.8 [可信区间:10.43−1562.27],该试验能很好地区分感染状态和未感染状态。AUC显著高于0.5(p < 10−5)。因此,这种血清学检测方法适用于中高流行率评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74d3/9865207/10ce76d5b634/life-13-00203-g001.jpg

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