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评价 Elecsys 梅毒电化学发光免疫分析法作为梅毒血清学诊断反向算法中的一线筛查试验。

Evaluation of the Elecsys Syphilis electrochemiluminescence immunoassay as a first-line screening test in the reverse algorithms for syphilis serodiagnosis.

机构信息

Department of Laboratory Medicine, Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea; Department of Laboratory Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.

Department of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.

出版信息

Int J Infect Dis. 2019 Mar;80:98-104. doi: 10.1016/j.ijid.2018.12.016. Epub 2019 Jan 8.

Abstract

OBJECTIVES

With the development of the automated treponemal test, new syphilis serodiagnosis algorithms, reverse algorithm, and European Centre for Disease Prevention and Control (ECDC) algorithm have been recommended recently. We investigated the efficacy of an electrochemiluminescence immunoassay (ECLIA) as an initial screening test in the reverse and ECDC algorithms.

METHODS

Samples from 4,771 subjects were included in this study. We performed rapid plasma reagin (RPR), ECLIA, and Treponema pallidum particle agglutination (TPPA) according to these three algorithms. The fluorescent treponemal antibody absorbed (FTA-ABS) test was additionally applied for discordant cases between the RPR and ECLIA results. The FTA-ABS results and the consensus of three algorithms were considered a gold standard.

RESULTS

A total of 208 subjects were diagnosed with syphilis. The traditional algorithm had a sensitivity of 25.96%, specificity of 100%, and accuracy of 96.77%. Both the reverse and ECDC algorithms showed the same diagnostic performance, sensitivity of 95.19%, specificity of 99.96%, and accuracy of 99.75%. The agreements between the traditional algorithm and the other algorithms were 96.9% with a kappa value of 0.415.

CONCLUSIONS

The diagnostic accuracy of the reverse and ECDC algorithms using the ECLIA as a first-line screening test was superior to that of the traditional algorithm.

摘要

目的

随着自动化梅毒检测方法的发展,最近推荐了新的梅毒血清学诊断算法、反向算法和欧洲疾病预防控制中心(ECDC)算法。我们研究了电化学发光免疫分析(ECLIA)作为反向和 ECDC 算法中初始筛选试验的效果。

方法

本研究纳入了 4771 例样本。我们根据这三种算法进行快速血浆反应素(RPR)、ECLIA 和梅毒螺旋体颗粒凝集(TPPA)检测。对于 RPR 和 ECLIA 结果不一致的病例,还进行了荧光密螺旋体抗体吸收(FTA-ABS)检测。将 FTA-ABS 结果和三种算法的共识作为金标准。

结果

共诊断出 208 例梅毒患者。传统算法的灵敏度为 25.96%,特异性为 100%,准确性为 96.77%。反向和 ECDC 算法的诊断性能相同,灵敏度为 95.19%,特异性为 99.96%,准确性为 99.75%。传统算法与其他算法之间的一致性为 96.9%,kappa 值为 0.415。

结论

将 ECLIA 作为一线筛查试验时,反向和 ECDC 算法的诊断准确性优于传统算法。

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