%0 Journal Article
%T Performance evaluation of three automated identification systems in detecting carbapenem-resistant Enterobacteriaceae
%A Bin Li
%A Jingling Zhang
%A Liya Huang
%A Qili Lin
%A Rui Liu
%A Weiyuan Chen
%J Archive of "Annals of Clinical Microbiology and Antimicrobials".
%D 2016
%R 10.1186/s12941-016-0154-0
%X 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 specificity and accuracy of different systems. The aim of this study was to evaluate the performance of three commonly used automated identification systems on the detection of CRE
%K Carbapenem-resistant Enterobacteriaceae
%K Automated identification systems
%K PCR
%U https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915035/