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评价自动化 BD Phoenix CPO Detect 检测试验对革兰氏阴性菌中产碳青霉烯酶的检测和分类能力。

Evaluation of the automated BD Phoenix CPO Detect test for detection and classification of carbapenemases in Gram negatives.

机构信息

Department of Microbiology, Cliniques universitaires Saint-Luc, Université Catholique de Louvain, Brussels, Belgium.

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

出版信息

Diagn Microbiol Infect Dis. 2020 Feb;96(2):114911. doi: 10.1016/j.diagmicrobio.2019.114911. Epub 2019 Nov 9.

Abstract

We evaluated the performance of the automated BD Phoenix CPO Detect test (BD-CPO test) for detection and Ambler classification of carbapenemases in Enterobacteriaceae, P.aeruginosa and A.baumannii complex. A collection of 287 Gram-negative clinical isolates, with a reduced susceptibility to at least one carbapenem including 184 carbapenemase-producing organisms (CPO) and 103 non-CPO, was tested. The BD-CPO test showed an overall sensitivity of 89.7% and specificity of 83.5% for carbapenemase detection. 1/7 of class A, 82.9% of class B, and 89.8% of class D carbapenemases were correctly classified. Poor detection sensitivity of 68.9% and specificity of 62.1% in P.aeruginosa was observed. However, combination with ceftazidime/avibactam susceptibility, provided by this panel, increased the performances for P.aeruginosa. The integration of an automated carbapenemase detection and classification in routine susceptibility panels would save time and help for therapeutic management. Further developments are needed to improve the accuracy of the BD-CPO test.

摘要

我们评估了自动 BD Phoenix CPO Detect 检测(BD-CPO 检测)在检测肠杆菌科、铜绿假单胞菌和鲍曼不动杆菌复合体中的碳青霉烯酶以及 Ambler 分类方面的性能。该研究检测了 287 株革兰氏阴性临床分离株,这些分离株对至少一种碳青霉烯类药物的敏感性降低,包括 184 株产碳青霉烯酶的生物体(CPO)和 103 株非 CPO。BD-CPO 检测对碳青霉烯酶检测的总体敏感性为 89.7%,特异性为 83.5%。1/7 型 A 类、82.9%型 B 类和 89.8%型 D 类碳青霉烯酶得到了正确分类。在铜绿假单胞菌中,检测的敏感性较差,为 68.9%,特异性为 62.1%。然而,该组合板提供的头孢他啶/阿维巴坦药敏性,提高了对铜绿假单胞菌的检测性能。在常规药敏检测板中整合自动碳青霉烯酶检测和分类将节省时间,并有助于治疗管理。需要进一步开发来提高 BD-CPO 检测的准确性。

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