Increasing number of people have used automated teller machines (ATMs) by years, but we know less about their bacterial colonization status. For this purpose, we performed bacterial swab cultures from a total of 100 ATM devices in our city. All devices were found positive for Bacillus spp., and coagulase negative staphylococci (CNS) were isolated from nine devices, including one methicillin resistant strain. Staphyloccocus aureus grew in two devices, where one of them was identified as methicillin resistant (MRSA). Three devices were found positive for Escherichia coli. Our results suggest that ATMs might be potential areas for pathogen accumulation, and they might have a role in microbial transmission in the community.
Objectives: In this study, we aimed to investigate the agents which were isolated from cerebrospinal fluid (CSF) samples in our hospital for three years, retrospectively.
Materials and methods:The CSF samples, which were sent our laboratory, of the patients those had presumptive diagnosis of meningitis between September 2008 and September 2011 were included into the study. Isolated bacteria were identified with conventional methods, biochemical tests and/or Phonix (BD, US) kits. Antimicrobial susceptibility of the strains were investigated according to Clinical Laboratory Standards Institute (CLSI) recommendations.Results: 11 Streptococcus pneumoniae, 8 Klebsiella pneumoniae, 7 Pseudomonas aeruginosa, 7 Acinetobacter baumannii, 5 Escherichia coli, 4 Enterococcus spp., 2 Enterobacter spp., 25 Coagulase-negative staphylococcus, 1 Morganella morganii, 2 Neisseria meningitidis, 1 Brucella spp., and 1 Candida albicans were isolated (overall n:74; 5.2%) from total 1408 CSF samples. In susceptibility test, 2 S.pneumonia was found as penicillin-resistant, and one E.coli and two K.pneumoniae were found as extended spectrum of beta-lactamase producers. Additionally, carbapenem resistance was detected in three A.baumannii and one P.aeruginosa strains.
Conclusion:Determination of agent profile and antimicrobial resistance pattern from different localizations and patients' groups will help to improve protective and therapeutic health policies.
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