Comparison of methods for the identification of microorganisms isolated from blood cultures

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dc.contributor.authorMonteiro, Aydir Cec�lia Marinho [UNESP]
dc.contributor.authorFortaleza, Carlos Magno Castelo Branco [UNESP]
dc.contributor.authorFerreira, Adriano Martison [UNESP]
dc.contributor.authorCavalcante, Ricardo de Souza [UNESP]
dc.contributor.authorMondelli, Alessandro Lia [UNESP]
dc.contributor.authorBagagli, Eduardo [UNESP]
dc.contributor.authorCunha, Maria de Lourdes Ribeiro de Souza [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2018-12-11T17:05:57Z
dc.date.available2018-12-11T17:05:57Z
dc.date.issued2016-08-05
dc.description.abstractBackground: Bloodstream infections are responsible for thousands of deaths each year. The rapid identification of the microorganisms causing these infections permits correct therapeutic management that will improve the prognosis of the patient. In an attempt to reduce the time spent on this step, microorganism identification devices have been developed, including the VITEK� 2 system, which is currently used in routine clinical microbiology laboratories. Methods: This study evaluated the accuracy of the VITEK� 2 system in the identification of 400 microorganisms isolated from blood cultures and compared the results to those obtained with conventional phenotypic and genotypic methods. In parallel to the phenotypic identification methods, the DNA of these microorganisms was extracted directly from the blood culture bottles for genotypic identification by the polymerase chain reaction (PCR) and DNA sequencing. Results: The automated VITEK� 2 system correctly identified 94.7 % (379/400) of the isolates. The YST and GN cards resulted in 100 % correct identifications of yeasts (15/15) and Gram-negative bacilli (165/165), respectively. The GP card correctly identified 92.6 % (199/215) of Gram-positive cocci, while the ANC card was unable to correctly identify any Gram-positive bacilli (0/5). Conclusions: The performance of the VITEK� 2 system was considered acceptable and statistical analysis showed that the system is a suitable option for routine clinical microbiology laboratories to identify different microorganisms.en
dc.description.affiliationUNESP-Univ. Estadual Paulista Departamento de Microbiologia e Imunologia Instituto de Bioci�ncias de Botucatu, Distrito de Rubi�o Junior, s/n
dc.description.affiliationUNESP-Univ. Estadual Paulista Departamento de Doen�as Tropicais Faculdade de Medicina de Botucatu, Distrito de Rubi�o Junior, s/n
dc.description.affiliationUNESP-Univ. Estadual Paulista Laborat�rio de An�lises Clinicas do Hospital das Clinicas de Botucatu Faculdade de Medicina de Botucatu, Distrito de Rubi�o Junior, s/n
dc.description.affiliationUNESP-Univ. Estadual Paulista Comiss�o de Controle de Infec�ao Relacionada aAssistencia aSa�de Hospital das Cl�nicas Faculdade de Medicina de Botucatu, Distrito de Rubi�o Junior, s/n
dc.description.affiliationUNESP-Univ. Estadual Paulista Departamento de Cl�nica M�dica Faculdade de Medicina de Botucatu, Distrito de Rubi�o Junior, s/n
dc.description.affiliationUnespUNESP-Univ. Estadual Paulista Departamento de Microbiologia e Imunologia Instituto de Bioci�ncias de Botucatu, Distrito de Rubi�o Junior, s/n
dc.description.affiliationUnespUNESP-Univ. Estadual Paulista Departamento de Doen�as Tropicais Faculdade de Medicina de Botucatu, Distrito de Rubi�o Junior, s/n
dc.description.affiliationUnespUNESP-Univ. Estadual Paulista Laborat�rio de An�lises Clinicas do Hospital das Clinicas de Botucatu Faculdade de Medicina de Botucatu, Distrito de Rubi�o Junior, s/n
dc.description.affiliationUnespUNESP-Univ. Estadual Paulista Comiss�o de Controle de Infec�ao Relacionada aAssistencia aSa�de Hospital das Cl�nicas Faculdade de Medicina de Botucatu, Distrito de Rubi�o Junior, s/n
dc.description.affiliationUnespUNESP-Univ. Estadual Paulista Departamento de Cl�nica M�dica Faculdade de Medicina de Botucatu, Distrito de Rubi�o Junior, s/n
dc.identifierhttp://dx.doi.org/10.1186/s12941-016-0158-9
dc.identifier.citationAnnals of Clinical Microbiology and Antimicrobials, v. 15, n. 1, 2016.
dc.identifier.doi10.1186/s12941-016-0158-9
dc.identifier.file2-s2.0-84988433738.pdf
dc.identifier.issn1476-0711
dc.identifier.lattes3320327570429539
dc.identifier.orcid0000-0002-8003-4109
dc.identifier.scopus2-s2.0-84988433738
dc.identifier.urihttp://hdl.handle.net/11449/173507
dc.language.isoeng
dc.relation.ispartofAnnals of Clinical Microbiology and Antimicrobials
dc.relation.ispartofsjr1,104
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectAutomated VITEK� 2 system
dc.subjectBlood culture
dc.subjectGenotypic identification
dc.subjectPhenotypic identification
dc.titleComparison of methods for the identification of microorganisms isolated from blood culturesen
dc.typeArtigo
unesp.author.lattes7697507273984482[5]
unesp.author.lattes3320327570429539[6]
unesp.author.lattes2589937673452910[2]
unesp.author.orcid0000-0002-4401-5656[5]
unesp.author.orcid0000-0002-8003-4109[6]
unesp.author.orcid0000-0003-4120-1258[2]

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Artigos - Microbiologia e Imunologia - IBB
Artigos - Doenças Tropicais e Diagnósticos por Imagem - FMB
Artigos - Hospital das Clínicas (HC) - Botucatu
Artigos - Psicologia Clínica - FCLAS