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三种IgG亲和力检测排除近期巨细胞病毒感染的能力。

Ability of three IgG-avidity assays to exclude recent cytomegalovirus infection.

作者信息

Bodéus M, Beulné D, Goubau P

机构信息

Department of Microbiology, Université Catholique de Louvain, Brussels, Belgium.

出版信息

Eur J Clin Microbiol Infect Dis. 2001 Apr;20(4):248-52. doi: 10.1007/s100960100484.

Abstract

At present, the measurement of IgG avidity appears to be the best method for differentiating primary from nonprimary cytomegalovirus (CMV) infection. This study compared the performances of three denaturation assays for the measurement of CMV IgG avidity: an in-house method and the commercially available assays Enzygnost (Dade-Behring, Germany) and Vidas (bioMérieux, France). The ability of these assays to exclude or to detect a recent CMV infection were calculated according to the results obtained in two control groups of pregnant women: 49 who had seroconverted and 80 with past infections. All three assays demonstrated a good ability to detect a recent infection (98-100%). The Dade-Behring test, in its present form, appears to be ineffective in excluding a recent CMV infection (exclusion ability: 30%), while the in-house method (exclusion ability: 96%) and the bioMérieux method (exclusion ability: 82%) performed better. The practical use of the in-house and the bioMérieux assays was evaluated in 80 women with CMV-specific IgG and a positive IgM result but without documented seroconversion. At the recommended diagnostic thresholds, the concordance between these two tests was 70%. Larger studies will allow more precise determination of the capacities of both assays and specification of the diagnostic thresholds or grey areas to be used.

摘要

目前,检测IgG亲和力似乎是区分原发性与非原发性巨细胞病毒(CMV)感染的最佳方法。本研究比较了三种用于检测CMV IgG亲和力的变性检测方法的性能:一种内部方法以及两种市售检测方法Enzygnost(德国达德-拜耳公司)和Vidas(法国生物梅里埃公司)。根据在两组孕妇对照组中获得的结果计算这些检测方法排除或检测近期CMV感染的能力:49名血清转化者和80名既往感染者。所有三种检测方法都显示出良好的检测近期感染的能力(98%-100%)。目前形式的达德-拜耳检测在排除近期CMV感染方面似乎无效(排除能力:30%),而内部方法(排除能力:96%)和生物梅里埃方法(排除能力:82%)表现更好。对80名CMV特异性IgG阳性且IgM结果阳性但无血清转化记录的女性进行了内部方法和生物梅里埃检测方法的实际应用评估。在推荐的诊断阈值下,这两种检测方法之间的一致性为70%。更大规模的研究将使我们能够更精确地确定这两种检测方法的能力,并明确所使用的诊断阈值或灰色区域。

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