Article
Performance evaluation of three automated identification systems in detecting carbapenem-resistant Enterobacteriaceae.
Annals of clinical microbiology and antimicrobials - 21 Jun 2016
He Qingwen, Chen Weiyuan, Huang Liya, Lin Qili, Zhang Jingling, Liu Rui, Li Bin
Abstract excerpt
BACKGROUND: Carbapenem-resistant Enterobacteriaceae (CRE) is prevalent around the world. Rapid and accurate detection of CRE is urgently needed to provide effective treatment. Automated identification systems have been widely used in clinical microbiology laboratories for rapid and high-efficient identification of pathogenic bacteria. However, critical evaluation and comparison are needed to determine the...
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