Simplified and Reliable Scheme for Species-Level Identification of Staphylococcus Clinical Isolates

Reliable and rapid identification of staphylococcal strains continues to be a problem faced by many microbiology laboratories. This study evaluates a simplified method that uses a flowchart to assist in the identification of 12 clinical species of Staphylococcus, including eight subspecies. A total...

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Published inJournal of Clinical Microbiology Vol. 45; no. 8; pp. 2564 - 2569
Main Authors Iorio, Natalia Lopes Pontes, Ferreira, Rosana Barreto Rocha, Schuenck, Ricardo Pinto, Malvar, Karoline Lourenço, Brilhante, Anike Pereira, Nunes, Ana Paula Ferreira, Bastos, Carla Callegário Reis, dos Santos, Kátia Regina Netto
Format Journal Article
LanguageEnglish
Published Washington, DC American Society for Microbiology 01.08.2007
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Summary:Reliable and rapid identification of staphylococcal strains continues to be a problem faced by many microbiology laboratories. This study evaluates a simplified method that uses a flowchart to assist in the identification of 12 clinical species of Staphylococcus, including eight subspecies. A total of 198 isolates and 11 control strains were identified by the reference method, which employed 22 tests. The results were compared with those obtained by two other methods: an automated system (MicroScan WalkAway) and a simplified method composed of nine tests. The simplified scheme showed an accuracy of 98.5%, while the automated method showed an accuracy of 79.3% (P < 0.001), in identifying staphylococcal species. Atypical phenotypic profiles were detected by both the reference (55.6%) and the simplified (19.7%) methods. The simplified method proposed here was shown to be reliable, with the advantage of being more practical and economic than the reference method.
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Corresponding author. Mailing address: Laboratório de Infecções Hospitalares, Departamento de Microbiologia Médica, Instituto de Microbiologia Prof. Paulo de Góes, CCS, Bloco I, UFRJ, Cidade Universitária, Rio de Janeiro, RJ, Brazil, CEP 21941-590. Phone: 55-21-2260-4193. Fax: 55-21-2560-8028. E-mail: santoskrn@micro.ufrj.br
ISSN:0095-1137
1098-660X
1098-5530
DOI:10.1128/JCM.00679-07