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首页> 外文期刊>Journal of Virological Methods >Reconciling HIV incidence results from two assays employed in the serological testing algorithm for recent HIV seroconversion (STARHS)
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Reconciling HIV incidence results from two assays employed in the serological testing algorithm for recent HIV seroconversion (STARHS)

机译:通过最近针对HIV血清转化(STARHS)的血清学检测算法中采用的两种检测方法对HIV发病率进行核对

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The Abbott HIVAB and Vironostika HIV-1 Microelisa assays have both been validated for use in the serological testing algorithm for recent HIV seroconversion (STARHS). This ability to identify recently-acquired infection provides valuable insight into the epidemic. The availability of each assay during different periods led to longitudinal studies of annual HIV incidence being based on a mixture of results from each. We investigated whether results from both assays could be reconciled. Using statistical methods, the correlation of the two assays' results and other performance characteristics were examined. Of 378 anti-HIV-1 positive specimens examined by both assays, the Abbott assay flagged 40 as from recent infections, whereas Vironostika flagged 50. The correlation coefficient between screening reactivities in each assay was 0.84, and 0.77 in confirmatory mode. Abbott screening results were significantly higher than its confirmatory results, and some specimens from recent infections may consequently have gone undetected by that assay. This problem was not found with the Vironostika assay. Observational data indicated that the estimated HIV incidence derived from HIVAB results increased as the assay threshold, with its pre-defined seroconversion window, was increased. For Vironostika, the estimated HIV incidence remained stable over a wide range of thresholds. Modelling of the observed relationship between the two assays allowed an estimate of the equivalent threshold in the alternative assay, thus providing a means of reconciling results. Our findings suggest that the Vironostika assay is more reliable than the HIVAB, is easier to use, and is able to allow processing of more specimens per run.
机译:雅培HIVAB和Vironostika HIV-1 Microelisa检测方法均已验证可用于近期HIV血清转化(STARHS)的血清学检测算法。识别最近获得的感染的能力提供了对该流行病的宝贵见解。每种检测方法在不同时期的可用性导致对年度HIV发病率的纵向研究基于每种方法的结果混合。我们调查了两种测定的结果是否可以核对。使用统计方法,检查了两种测定结果与其他性能特征的相关性。在两种测定法检查的378份抗HIV-1阳性标本中,雅培测定法将40标记为近期感染,而Vironostika标记为50。在每种测定法中,筛查反应性之间的相关系数为0.84,在确认模式下为0.77。雅培的筛查结果明显高于其确证结果,因此最近感染的一些标本可能因此未被检测到。用Vironostika分析未发现此问题。观察数据表明,随着其预先定义的血清转化窗口的测定阈值的增加,从HIVAB结果得出的估计HIV发病率增加。对于Vironostika,估计的HIV发生率在很宽的阈值范围内保持稳定。对两种测定之间观察到的关系进行建模,可以估算替代测定中的等效阈值,从而提供协调结果的手段。我们的发现表明,Vironostika分析比HIVAB更可靠,更易于使用,并且每次运行可处理更多标本。

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