Performance evaluation of three automated identification systems in detecting carbapenem-resistant Enterobacteriaceae

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 id...

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Detalles Bibliográficos
Autores principales: He, Qingwen, Chen, Weiyuan, Huang, Liya, Lin, Qili, Zhang, Jingling, Liu, Rui, Li, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915035/
https://www.ncbi.nlm.nih.gov/pubmed/27328762
http://dx.doi.org/10.1186/s12941-016-0154-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4915035/
https://www.ncbi.nlm.nih.gov/pubmed/27328762
http://dx.doi.org/10.1186/s12941-016-0154-0

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