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使用贝叶斯潜在类别方法对喀麦隆牛群中两种裂谷热血清学检测方法的比较

Comparison of Two Rift Valley Fever Serological Tests in Cameroonian Cattle Populations Using a Bayesian Latent Class Approach.

作者信息

de Bronsvoort Barend M C, Bagninbom Jean-Marc, Ndip Lucy, Kelly Robert F, Handel Ian, Tanya Vincent N, Morgan Kenton L, Ngu Ngwa Victor, Mazeri Stella, Nfon Charles

机构信息

The EERA Group, The Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian, United Kingdom.

The Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian, United Kingdom.

出版信息

Front Vet Sci. 2019 Aug 14;6:258. doi: 10.3389/fvets.2019.00258. eCollection 2019.

Abstract

Rift Valley Fever is an important zoonotic viral disease of livestock occurring across much of Africa causing acute febrile illness, abortion, and neonatal death in livestock particularly sheep and cattle and a range of disease in humans from mild flu-like symptoms to more severe haemorrhagic fever and death. Understanding the epidemiology requires well-evaluated tools including antibody detection ELISAs. It is well-recognized that tests developed in one population do not necessarily perform as well when used in different populations and it is therefore important to assess tests in the populations in which they are to be used. Here we describe the performance of a commercial RVF ELISA (ID.Vet) and an in-house plaque reduction neutralization test (PRNT). A Bayesian no gold standard latent class model for two tests and ≥2 populations based on the Hui-Walter model was used to estimate the test parameters using a range of populations based on geographical separation and age to assess consistency of performance across different sub-populations. The ID.Vet ELISA had an estimated diagnostic sensitivity (Se) of 0.854 (0.655-0.991 95%BCI) and specificity (Sp) of 0.986 (0.971-0.998 95%BCI) using all the data and splitting the population by geographical region compared to 0.844 (0.660-0.973 95%BCI) and 0.981 (0.965-0.996 95%BCI) for the PRNT. There was slight variation in the mean Se and Sp in different sub-populations mainly in Se estimates due to small numbers of positives in the sub-populations but the 95% BCI generally overlapped suggesting a very consistent performance across the different geographical areas and ages of animals. This is one of few reports of serological evidence of RVF in Central Africa and strongly suggests the virus is actively circulating in this cattle population. This has important public health implications and RVF should be considered as a differential in both livestock disease cases as well as human febrile cases in West and Central Africa not just East Africa. We also demonstrate that the performance of the commercial ELISA is comparable to the PRNT but has the advantages of speed, lower cost and no containment needs making it a much more useful test for low and middle income settings (LMICs).

摘要

裂谷热是一种重要的人畜共患病毒性家畜疾病,在非洲大部分地区流行,可导致家畜尤其是绵羊和牛出现急性发热性疾病、流产和新生仔畜死亡,在人类中可引发一系列疾病,从类似流感的轻微症状到更严重的出血热甚至死亡。了解该疾病的流行病学需要经过充分评估的工具,包括抗体检测酶联免疫吸附测定(ELISA)。人们普遍认识到,在一个群体中开发的检测方法在用于不同群体时不一定能表现得同样出色,因此在其应用的群体中评估检测方法很重要。在此,我们描述了一种商用裂谷热ELISA(ID.Vet)和一种内部噬斑减少中和试验(PRNT)的性能。基于Hui-Walter模型,使用针对两种检测方法和≥2个群体的贝叶斯无金标准潜在类别模型,利用基于地理分隔和年龄的一系列群体来估计检测参数,以评估不同亚群体间性能的一致性。使用所有数据并按地理区域划分群体时,ID.Vet ELISA估计的诊断敏感性(Se)为0.854(0.655 - 0.991,95%贝叶斯可信区间),特异性(Sp)为0.986(0.971 - 0.998,95%贝叶斯可信区间),而PRNT的诊断敏感性和特异性分别为0.844(0.660 - 0.973,95%贝叶斯可信区间)和0.981(0.965 - 0.996,95%贝叶斯可信区间)。不同亚群体的平均Se和Sp略有差异,主要是由于亚群体中阳性数量较少导致Se估计值有所不同,但95%贝叶斯可信区间通常重叠,表明在不同地理区域和动物年龄中性能非常一致。这是中非裂谷热血清学证据的少数报告之一,强烈表明该病毒在这一牛群中活跃传播。这具有重要的公共卫生意义,在西非和中非,不仅是东非,裂谷热在牲畜疾病病例以及人类发热病例中都应被视为一种鉴别诊断疾病。我们还证明,商用ELISA的性能与PRNT相当,但具有速度快、成本低且无需隔离的优点,使其成为低收入和中等收入国家(LMICs)更有用的检测方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f0ff/6702286/eac7343251aa/fvets-06-00258-g0001.jpg

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