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Publicação:
Candida spp.: Manual identification (reference method) and automated identification (Vitek system platform)

dc.contributor.authorMondelli, Alessandro Lia [UNESP]
dc.contributor.authorNiéro-Melo, L. [UNESP]
dc.contributor.authorBagagli, E. [UNESP]
dc.contributor.authorCamargo, C. H. [UNESP]
dc.contributor.authorBruder-Nascimento, A. [UNESP]
dc.contributor.authorSugizaki, M. F. [UNESP]
dc.contributor.authorCarneiro, M. V. [UNESP]
dc.contributor.authorVillas Boas, P. J.F. [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.date.accessioned2022-04-29T04:59:17Z
dc.date.available2022-04-29T04:59:17Z
dc.date.issued2012-01-01
dc.description.abstractYeasts are becoming a common cause of nosocomial fungal infections that affect immunocompromised patients. Such infections can evolve into sepsis, whose mortality rate is high. This study aimed to evaluate the viability of Candida species identification by the automated system Vitek- Biomerieux (Durham, USA). Ninety-eight medical charts referencing the Candida spp. samples available for the study were retrospectively analyzed. The system Vitek-Biomerieux with Candida identification card is recommended for laboratory routine use and presents 80.6% agreement with the reference method. By separate analysis of species, 13.5% of C. parapsilosis samples differed from the reference method, while the Vitek system wrongly identified them as C. tropicalis, C. lusitaneae or as Candida albicans. C. glabrata presented a discrepancy of only one sample (25%), and was identified by Vitek as C. parapsilosis. C. guilliermondii also differed in only one sample (33.3%), being identified as Candida spp. All C. albicans, C. tropicalis and C. lusitaneae samples were identified correctly. © CEVAP 2012.en
dc.description.affiliationDepartment of Internal Medicine Botucatu Medical School São Paulo State University (UNESP - Univ Estadual Paulista), Distrito de Rubião Júnior, s/n, 18618-970, Botucatu, SP
dc.description.affiliationDepartment of Microbiology and Immunology Botucatu Biosciences Institute São Paulo State University (UNESP - Univ Estadual Paulista), Botucatu, SP
dc.description.affiliationUnespDepartment of Internal Medicine Botucatu Medical School São Paulo State University (UNESP - Univ Estadual Paulista), Distrito de Rubião Júnior, s/n, 18618-970, Botucatu, SP
dc.description.affiliationUnespDepartment of Microbiology and Immunology Botucatu Biosciences Institute São Paulo State University (UNESP - Univ Estadual Paulista), Botucatu, SP
dc.format.extent335-339
dc.identifierhttp://dx.doi.org/10.1590/S1678-91992012000300011
dc.identifier.citationJournal of Venomous Animals and Toxins Including Tropical Diseases, v. 18, n. 3, p. 335-339, 2012.
dc.identifier.doi10.1590/S1678-91992012000300011
dc.identifier.issn1678-9199
dc.identifier.issn1678-9180
dc.identifier.scopus2-s2.0-84866672953
dc.identifier.urihttp://hdl.handle.net/11449/226974
dc.language.isoeng
dc.relation.ispartofJournal of Venomous Animals and Toxins Including Tropical Diseases
dc.sourceScopus
dc.subjectAutomated identification
dc.subjectCandida spp.
dc.subjectCandidemia
dc.subjectIdentification
dc.titleCandida spp.: Manual identification (reference method) and automated identification (Vitek system platform)en
dc.typeArtigo
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Medicina, Botucatupt
unesp.campusUniversidade Estadual Paulista (UNESP), Instituto de Biociências, Botucatupt
unesp.departmentClínica Médica - FMBpt
unesp.departmentMicrobiologia e Imunologia - IBBpt

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