快速AST:有可能推断复杂的表型的耐药性机制
J Ligero-López, I Falces-Romero, A Aranda-Díaz
1Emilio Cendejas-Bueno, Clinical Microbiology Department, Hospital Universitario La Paz, Madrid, Spain, Paseo de La Castellana 261, 28046 Madrid, Spain. ecendejas77@gmail.com.
概括
加快Pheno®系统 (AAC) 显示出对抗微生物敏感性测试 (AST) 的承诺,但与产生卡巴酶的グラム阴性细菌作斗争. 需要进一步的研究才能准确地推断出电阻机制.
科学领域:
- 临床微生物学 临床微生物学
- 抗微生物耐药性 抗微生物耐药性
- 诊断技术 诊断技术的使用
背景情况:
- 自动化抗微生物敏感性测试 (AST) 系统加速血液感染的结果.
- 由于治疗选择有限,产生卡巴酶的グラム阴性细菌构成重大威胁.
研究的目的:
- 评估Accelerate Pheno®系统 (AAC) 对抗微生物敏感性测试 (AST) 的准确性.
- 为了比较AAC性能与MicroScanWalkAway系统 (MWS) 和卡巴酶生成分离物的磁盘扩散.
- 评估AAC在具有挑战性的グラム阴性细菌中推断抗药机制的能力.
主要方法:
- 使用19种产生卡巴酶的グラム阴性细菌分离物的比较研究.
- 对AAC,MWS和磁盘扩散进行的表型抗微生物敏感性测试 (AST).
- 对梅罗和埃尔塔的基本协议 (EA) 和类别协议 (CA) 的分析.
主要成果:
- 与MWS相比,AAC对美罗 (EA 84.2%) 和埃尔塔 (EA 88.2%,CA 64.7%) 显示出适度的一致性.
- 磁盘扩散显示了两个代理商的较低类别协议 (CA).
- 在推断碳酶生成分离物的耐药性机制时,AAC的准确性显著下降.
结论:
- 该AAC系统需要进一步验证可靠的AST在生产卡巴酶的グラム阴性细菌中.
- 目前的局限性阻碍了准确的MIC确定和阻力机制推断.
- 未来的研究应该包括新的抗生素和更大的隔离队列,以进行全面的评估.
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