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采用谷氨酸脱氢酶抗原和艰难梭菌毒素酶免疫分析的艰难梭菌检测算法,联合艰难梭菌核酸扩增检测,可提高三级儿科人群的诊断产量。

Clostridium difficile testing algorithms using glutamate dehydrogenase antigen and C. difficile toxin enzyme immunoassays with C. difficile nucleic acid amplification testing increase diagnostic yield in a tertiary pediatric population.

机构信息

The Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.

出版信息

J Clin Microbiol. 2012 Apr;50(4):1185-8. doi: 10.1128/JCM.05620-11. Epub 2012 Jan 18.

Abstract

We evaluated the performance of the rapid C. diff Quik Chek Complete's glutamate dehydrogenase antigen (GDH) and toxin A/B (CDT) tests in two algorithmic approaches for a tertiary pediatric population: algorithm 1 entailed initial testing with GDH/CDT followed by loop-mediated isothermal amplification (LAMP), and algorithm 2 entailed GDH/CDT followed by cytotoxicity neutralization assay (CCNA) for adjudication of discrepant GDH-positive/CDT-negative results. A true positive (TP) was defined as positivity by CCNA or positivity by LAMP plus another test (GDH, CDT, or the Premier C. difficile toxin A and B enzyme immunoassay [P-EIA]). A total of 141 specimens from 141 patients yielded 27 TPs and 19% prevalence. Sensitivity, specificity, positive predictive value, and negative predictive value were 56%, 100%, 100%, and 90% for P-EIA and 81%, 100%, 100%, and 96% for both algorithm 1 and algorithm 2. In summary, GDH-based algorithms detected C. difficile infections with superior sensitivity compared to P-EIA. The algorithms allowed immediate reporting of half of all TPs, but LAMP or CCNA was required to confirm the presence or absence of toxigenic C. difficile in GDH-positive/CDT-negative specimens.

摘要

我们评估了快速 C. diff Quik Chek Complete 的谷氨酸脱氢酶抗原(GDH)和毒素 A/B(CDT)检测在两种算法中的性能,这两种算法适用于三级儿科人群:算法 1 采用 GDH/CDT 进行初始检测,然后进行环介导等温扩增(LAMP),算法 2 采用 GDH/CDT 进行细胞毒性中和测定(CCNA)以裁决 GDH 阳性/CDT 阴性结果不一致。真阳性(TP)的定义为 CCNA 阳性或 LAMP 阳性加上另一种检测(GDH、CDT 或 Premier C. difficile 毒素 A 和 B 酶免疫测定[P-EIA])阳性。从 141 例患者的 141 份标本中获得 27 个 TP 和 19%的患病率。P-EIA 的敏感性、特异性、阳性预测值和阴性预测值分别为 56%、100%、100%和 90%,算法 1 和算法 2 的敏感性、特异性、阳性预测值和阴性预测值分别为 81%、100%、100%和 96%。总的来说,基于 GDH 的算法与 P-EIA 相比,检测 C. difficile 感染的敏感性更高。这些算法可以立即报告一半的所有 TP,但需要 LAMP 或 CCNA 来确认 GDH 阳性/CDT 阴性标本中是否存在产毒 C. difficile。

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