Kelly Robert F, Gonzaléz Gordon Lina, Egbe Nkongho F, Freeman Emily J, Mazeri Stella, Ngwa Victor N, Tanya Vincent, Sander Melissa, Ndip Lucy, Muwonge Adrian, Morgan Kenton L, Handel Ian G, Bronsvoort Barend M de C
The Royal (Dick) School of Veterinary Studies and Roslin Institute, University of Edinburgh, Edinburgh, United Kingdom.
School of Life Sciences, University of Lincoln, Lincoln, United Kingdom.
Front Vet Sci. 2022 Jul 7;9:877534. doi: 10.3389/fvets.2022.877534. eCollection 2022.
The interferon-gamma (IFN-γ) assay and single comparative cervical skin test (SCITT) are used to estimate bovine tuberculosis (bTB) prevalence globally. Prevalence estimates of bTB, caused by , are poorly quantified in many Sub-Saharan African (SSA) cattle populations. Furthermore, antemortem diagnostic performance can vary at different stages of bTB pathogenesis and in different cattle populations. In this study, we aim to explore the level of agreement and disagreement between the IFN-γ assay and SCITT test, along with the drivers for disagreement, in a naturally infected African cattle population. In, 2013, a pastoral cattle population was sampled using a stratified clustered cross-sectional study in Cameroon. A total of 100 pastoral cattle herds in the North West Region (NWR) and the Vina Division (VIN) were sampled totalling 1,448 cattle. Individual animal data and herd-level data were collected, and animals were screened using both the IFN-γ assay and SCITT. Serological ELISAs were used to detect exposure to immunosuppressing co-infections. Agreement analyses were used to compare the performance between the two bTB diagnostic tests, and multivariable mixed-effects logistic regression models (MLR) were developed to investigate the two forms of IFN-γ assay and SCITT binary disagreement. Best agreement using the Cohen's κ statistic, between the SCITT (>2 mm) and the IFN-γ assay implied a 'fair-moderate' agreement for the NWR [κ = 0.42 (95%CI: 0.31-0.53)] and 'poor-moderate' for the VIN [κ = 0.33 (95% CI: 0.18-0.47)]. The main test disagreement was the animals testing positive on the IFN-γ assay and negative by the SCITT. From MLR modeling, adults (adults OR: 7.57; older adults OR = 7.21), females (OR = 0.50), bovine leucosis (OR = 2.30), and paratuberculosis positivity (OR = 6.54) were associated with IFN-γ-positive/SCITT-negative disagreement. Subsets to investigate diagnostic test disagreement for being SCITT-positive and IFN-γ-negative also identified that adults (adults OR = 15.74; older adults OR = 9.18) were associated with IFN-γ-negative/SCITT-positive disagreement. We demonstrate that individual or combined use of the IFN-γ assay and SCITT can lead to a large variation in bTB prevalence estimates. Considering that animal level factors were associated with disagreement between the IFN-γ assay and SCITT in this study, future work should further investigate their impact on diagnostic test performance to develop the approaches to improve SSA prevalence estimates.
干扰素-γ(IFN-γ)检测和单比较宫颈皮肤试验(SCITT)被用于全球范围内估计牛结核病(bTB)的流行率。在许多撒哈拉以南非洲(SSA)牛群中,由[未提及具体病因]引起的bTB流行率估计值量化不足。此外,生前诊断性能在bTB发病机制的不同阶段以及不同牛群中可能会有所不同。在本研究中,我们旨在探讨在自然感染的非洲牛群中,IFN-γ检测和SCITT试验之间的一致性和不一致性水平,以及不一致的驱动因素。2013年,在喀麦隆采用分层整群横断面研究对一个游牧牛群进行了抽样。在西北地区(NWR)和维纳分区(VIN)共抽取了100个游牧牛群,总计1448头牛。收集了个体动物数据和畜群水平数据,并使用IFN-γ检测和SCITT对动物进行了筛查。采用血清学ELISA检测免疫抑制合并感染的暴露情况。使用一致性分析比较两种bTB诊断试验的性能,并建立多变量混合效应逻辑回归模型(MLR)来研究IFN-γ检测和SCITT二元不一致的两种形式。使用科恩κ统计量得出的最佳一致性结果显示,SCITT(>2 mm)和IFN-γ检测之间,NWR的一致性为“中等偏下”[κ = 0.42(95%CI:0.31 - 0.53)],VIN的一致性为“较差偏下”[κ = 0.33(95%CI:0.18 - 0.47)]。主要的试验不一致情况是IFN-γ检测呈阳性而SCITT检测呈阴性的动物。根据MLR模型,成年牛(成年牛OR:7.57;老年牛OR = 7.21)、雌性牛(OR = 0.50)、牛白血病(OR = 2.30)和副结核病阳性(OR = 6.54)与IFN-γ阳性/SCITT阴性的不一致情况相关。针对SCITT阳性和IFN-γ阴性的诊断试验不一致情况进行调查的子集分析还发现,成年牛(成年牛OR = 15.74;老年牛OR = 9.18)与IFN-γ阴性/SCITT阳性的不一致情况相关。我们证明,单独或联合使用IFN-γ检测和SCITT会导致bTB流行率估计值出现很大差异。鉴于本研究中动物水平因素与IFN-γ检测和SCITT之间的不一致情况相关,未来的工作应进一步研究它们对诊断试验性能的影响,以开发提高SSA流行率估计值的方法。