Full Length Research Paper
Abstract
The aim of this study was to characterize the bacterial profiles and antibiotic-resistance patterns in Xiangya Hospital in 2012, and provide guidance for rational use of antimicrobial agents. Clinical strains were identified by the Vitek 2 automatic microbe analysis system and API test strips, and minimal inhibitory concentrations (MICs) for each antibiotic agent was determined. Data were analyzed in the WHONET 5.4 software. 12,407 non-repetitive strains were identified in 2012, including 3,579 Gram-positive bacterial strains (28.85%), 7,579 Gram-negative bacterial strains (61.09%) and 1,249 fungi (10.06%). 53.63% Staphylococcus aureus are methicillin-resistant and 62.39% coagulase-negative Staphylococci are methicillin-resistant, but susceptible to vancomycin, teicoplanin or linezolid. Four Enterococcus faecium and 3 Enterococcus faecalis strains were resistant to vancomycin. 72.12% Escherichia coli and 56.23% Klebsiella pneumoniae were extended spectrum β-lactamases (ESBLs) positive, and carbapenem showed high activity against both bacteria (resistant rates <10%). Therefore, the number of bacterial pathogens isolated in this hospital and their antibiotic resistance situation were not optimistic. It is urgent and necessary to promote a wide, systematic, continuous and high-quality bacterial-resistance surveillance.
Key words: Antibiotic resistance pattern, bacterial profile, pathogen.
Abbreviation
MICs, Minimal inhibitory concentrations; ESBLs, extended spectrum β-lactamases; CLSI, Clinical and Laboratory Standards Institute; ISO, International Standardization Organization; CNS, coagulase negative staphylococci; MRSA, methicillin-resistant Staphylococcus aureus; MRCNS, methicillin-resistant coagulase negative Staphylococci; VRE, vancomycin-resistant Enterococcus.
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