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监测 SARS-CoV-2 感染后的抗体反应:4 种自动化免疫分析的诊断效率。

Monitoring antibody response following SARS-CoV-2 infection: diagnostic efficiency of 4 automated immunoassays.

机构信息

Department of Clinical Chemistry, Laboratoire Hospitalier Universitaire de Bruxelles (LHUB-ULB), Université Libre de Bruxelles (ULB), Brussels, Belgium.

Department of Microbiology, Laboratoire Hospitalier Universitaire de Bruxelles (LHUB-ULB), Université Libre de Bruxelles (ULB), Brussels, Belgium.

出版信息

Diagn Microbiol Infect Dis. 2020 Nov;98(3):115140. doi: 10.1016/j.diagmicrobio.2020.115140. Epub 2020 Jul 12.

Abstract

INTRODUCTION

SARS-CoV-2 seroconversion is important for epidemiological studies as well as contact tracing.

MATERIAL AND METHODS

The antibody response against SARS-CoV-2 was examined in 111 patients with a positive qRT-PCR. Seroconversion was assessed using the Elecsys from Roche, the Liaison S1/S2 IgG from Diasorin, the IgG and IgA from Euroimmun, as well as the VIDAS IgG and IgM. Specificity was estimated based on the measurement of SARS-CoV-2 antibodies in 96 residual samples collected during a non-pandemic period.

RESULTS

The highest overall sensitivity for detecting seroconversion was obtained using the Elecsys (81.1%), the Euroimmun with a combined detection of IgG/IgA (86.5%), and the VIDAS with a simultaneous measurement of IgG/IgM (78.4%).The Elecsys and the VIDAS IgG/IgM demonstrated a specificity as well as a positive predictive value of 100%.

CONCLUSIONS

The Elecsys and the VIDAS methods with a combination of IgG/IgM measurement demonstrated a high sensitivity with no false positive results.

摘要

简介

SARS-CoV-2 血清转化对于流行病学研究和接触者追踪非常重要。

材料与方法

对 111 例 qRT-PCR 阳性的患者进行了针对 SARS-CoV-2 的抗体反应检测。使用罗氏的 Elecsys、Diasorin 的 Liaison S1/S2 IgG、Euroimmun 的 IgG 和 IgA 以及 VIDAS IgG 和 IgM 评估血清转化。根据在非大流行期间收集的 96 个剩余样本中 SARS-CoV-2 抗体的测量,估计了特异性。

结果

使用 Elecsys(81.1%)、同时检测 IgG/IgM 的 VIDAS(78.4%)和联合检测 IgG/IgA 的 Euroimmun(86.5%),检测血清转化的总体敏感性最高。Elecsys 和 VIDAS IgG/IgM 的特异性和阳性预测值均为 100%。

结论

Elecsys 和 VIDAS 方法结合 IgG/IgM 测量具有高灵敏度且无假阳性结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1036/7354376/8985d3b79f5d/gr1_lrg.jpg

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