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评价表型算法在 : 多中心德国队列中的碳青霉烯酶检测中的应用。验证。

Evaluation of a Phenotypic Algorithm to Direct Carbapenemase Testing in : Validation in a Multicenter German Cohort.

机构信息

Center for Anti-Infective Research and Development, Hartford Hospital, Hartford, Connecticut, USA.

Antiinfectives Intelligence GmbH, Rheinbach, Germany.

出版信息

Microb Drug Resist. 2021 Sep;27(9):1243-1248. doi: 10.1089/mdr.2020.0476. Epub 2021 Jan 8.

Abstract

remains a prominent nosocomial pathogen. Detection of carbapenemase-producing is vital to dictate antimicrobial therapy and infection control measures. A pragmatic, minimum inhibitory concentration-based algorithm using imipenem AND meropenem-resistant plus ceftazidime-, cefepime-, and piperacillin/tazobactam-nonsusceptible criterion was derived to guide carbapenemase testing in . This study was an assessment of the algorithm's test performance in a cohort of 985 nonduplicate isolates collected from 20 German medical laboratories. Susceptibility data were assessed in the algorithm using both Clinical and Laboratory Standards Institute (CLSI) and European Committee on Antimicrobial Susceptibility Testing (EUCAST) interpretations. Sensitivity and specificity were calculated to evaluate algorithm test performance. The original algorithm criteria resulted in high specificity (95-97%) using both CLSI and EUCAST criteria; however, it failed to capture five carbapenemase-harboring isolates testing piperacillin/tazobactam susceptibility (CLSI/EUCAST). Two carbapenemase-producing isolates were also meropenem susceptible per EUCAST. A modified algorithm utilizing imipenem OR meropenem-resistant plus ceftazidime and cefepime nonsusceptible, improved the sensitivity of the criteria without significantly compromising specificity (CLSI sensitivity/specificity: 96%/94% and EUCAST sensitivity/specificity: 96%/95%). Application of the modified algorithm criteria resulted in high sensitivity and specificity using both CLSI and EUCAST interpretations in a large cohort of clinical . Utilization of this algorithm can improve the efficiency of carbapenemase testing in the clinical laboratory.

摘要

仍然是一种重要的医院获得性病原体。检测产碳青霉烯酶的 对于指导抗菌治疗和感染控制措施至关重要。本研究旨在评估该算法在 985 例来自 20 家德国医学实验室的非重复 分离株中的测试性能。使用临床和实验室标准协会 (CLSI) 和欧洲抗菌药物敏感性试验委员会 (EUCAST) 解释来评估算法中的药敏数据。计算敏感性和特异性以评估算法的测试性能。使用 CLSI 和 EUCAST 标准,原始算法标准具有高特异性 (95-97%);然而,它未能捕获五株对哌拉西林/他唑巴坦敏感的产碳青霉烯酶的分离株(CLSI/EUCAST)。根据 EUCAST,还有两株产碳青霉烯酶的分离株对美罗培南敏感。使用改良的算法,将美罗培南耐药或亚胺培南耐药加上头孢他啶和头孢吡肟耐药作为标准,提高了标准的敏感性,而特异性没有显著降低(CLSI 敏感性/特异性:96%/94%和 EUCAST 敏感性/特异性:96%/95%)。使用 CLSI 和 EUCAST 解释,该改良算法标准在大量临床 分离株中均具有较高的敏感性和特异性。在临床实验室中应用该算法可以提高碳青霉烯酶检测的效率。

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