32:987- 989, 2001) highlighted problems concerning the potential mis- identification of bacteria when commercial identification sys- tems are used. A recent correspondence in Clinical Infectious Diseases (W. Bacterial nomenclature thus provides the foundation from which host-parasite disease relationships are defined, therapeutic regimens are developed, and epidemio- logical investigations (e.g., comparative analysis of bacterial strains involved in outbreaks) are instigated. Identification is based upon the labeling of bacteria, parasites, and fungi with appropriate binomial names of Latin or Greek origin. The accurate and definitive identification of microorgan- isms, including bacteria, is one of the cornerstones forming the joint foundation of the fields of microbiology and infectious diseases. In conclusion the results of this study indicate that the VITEK 2 system represents an accurateĪnd acceptable means for performing identification and antibiotic susceptibility tests with medically relevant gram-positive Major errors were observed for CNS-oxacillin and S. Microorganism-antibiotic combinations that gave very major errors were CNS-erythromycin, CNS-oxacillin, enterococci-teicoplanin,Īnd enterococci-high-concentration gentamicin. aureus, from 90 to 100% for CNS, from 91 to 100% for enterococci, from 96 to 100% for S. Antimicrobial susceptibility testing showed category agreement from 94 to 100% for S. Susceptibility testing with the VITEK 2 system gave 96% correct category agreement, 0.82% very major errors, 0.17% major errors,Īnd 2.7% minor errors. According to the NCCLS breakpoints, antimicrobial More than 90% of gram-positive cocci were identified within 3 h. pneumoniae, 92.7% of Enterococcus faecalis, 91.3% of Staphylococcus haemolyticus, and 88% of Staphylococcus epidermidis but was least able to identify Enterococcus faecium (71.4% correct). The VITEK 2 systemĬorrectly identified to the species level (only one choice or after simple supplementary tests) 99% of S. The identification comparison methods were the API Staph for staphylococciĪnd the API 20 Strep for streptococci and enterococci for antimicrobial susceptibility testing, the agar dilution methodĪccording to the procedure of the National Committee for Clinical Laboratory Standards (NCCLS) was used. agalactiae) and AST-P506 (for pneumococci) susceptibility cards. (n = 89), Streptococcus agalactiae (n = 29), and Streptococcus pneumoniae (n = 66) were examined with the ID-GPC identification card and with the AST-P515 (for staphylococci), AST-P516 (for enterococciĪnd S. Clinical isolates of Staphylococcus aureus (n = 100), coagulase-negative staphylococci (CNS) (n = 100), Enterococcus spp. The non-correspondent identification result was due to the developmentof bacterial taxonomy and the differences of numbers and types of the biochemical tests between conventional and automatic methods.Bacteria identification using automated method is more accurate and faster than the conventional method, so it is recommended usingthis particularly for the laboratory and educational referral center.Ī study was conducted to evaluate the new VITEK 2 system (bioMérieux) for identification and antibiotic susceptibility testing In this study, there was some correspondent identification result betweenthe conventional as well as the automated methods, namely 31.5% for Gram negative bacteria and 30.8% for Gram positive bacteria.However, the non-correspondent identification result between conventional and automated methods was found greater, namely, 68.5%for Gram negative bacteria and 69.2% for Gram positive bacteria.
A total of 85 samples consisting of 66 Gram negative bacteria and 19 Gram positive bacteriawere identified using conventional and automated methods. This study will analyze the identificationresults of Gram negative and Gram positive from aerobic bacteria by examination using conventional and automatic methods at Dr.Wahidin Sudirohusodo Hospital Laboratory.
Choosing the method of bacteria identification is crucial to obtain accurate and quick results.
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