Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas

Autores
Oderiz, Sebastián; Palau, María J.; del Palacio, Paula; Lewis, Miriam C.; Bettiol, Marisa Paula; Martina, Pablo F.; Bosch, María Alejandra; Gatti, Blanca Maria
Año de publicación
2011
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Evaluation of commercial systems VITEK 2 and API 20NE for identification of Burkholderia cepacia complex bacteria from clinical samples. Species belonging to the Burkholderia cepacia complex (BCC) are capable of causing chronic respiratory tract infections in patients suffering from cystic fibrosis as wel as in immunocompromised individuals. Most of these species are highly resistant to antibiotic therapy, generating the need for their rapid and accurate detection
for the proper treatment and clinical management of these patients. In this wok, the polymerase chain reaction (PCR) technique based on the amplification of the recA gene (PCR-recA) was applied for an accurate identification of bacteria belonging to the BCC. Sensitivity (S) and specificity (E) of two biochemically-based commercial automated systems, API 20NE and VITEK 2 (bioMérieux®), and of the most representative biochemical manual tests for the identification of the Burkholderia cepacia complex were herein evaluated. The commercial systems VITEK 2 and API 20NE showed the following sensitivity and specificity vaues for identification to the species level, S: 71.1 %, E: 100 %, S: 69.7 %, E: 90.2 %, respectively. More complex results were observed for phenotypic manual tests, since BCC bacteria can undergo selective pressure to survive in chronic patients causing the loss of their typical phenotypic characteristics. The PCR-recA technique was easy to implement even in medium - complexity clinical diagnostic laboratories.
Species belonging to the Burkholderia cepacia complex (BCC) are capable of causing chronic respiratory tract infections in patients suffering from cystic fibrosis as wel as in immunocompromised individuals. Most of these species are highly resistant to antibiotic therapy, generating the need for their rapid and accurate detection for the proper treatment and clinical management of these patients. In this wok, the polymerase chain reaction (PCR) technique based on the amplification of the recA gene (PCR-recA) was applied for an accurate identification of bacteria belonging to the BCC. Sensitivity (S) and specificity (E) of two biochemically-based commercial automated systems, API 20NE and VITEK 2 (bioMérieux®), and of the most representative biochemical manual tests for the identification of the Burkholderia cepacia complex were herein evaluated. The commercial systems VITEK 2 and API 20NE showed the following sensitivity and specificity vaues for identification to the species level, S: 71.1 %, E: 100 %, S: 69.7 %, E: 90.2 %, respectively. More complex results were observed for phenotypic manual tests, since BCC bacteria can undergo selective pressure to survive in chronic patients causing the loss of their typical phenotypic characteristics. The PCR-recA technique was easy to implement even in medium-complexity clinical diagnostic laboratories.
Fil: Oderiz, Sebastián. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina
Fil: Palau, María J.. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina
Fil: del Palacio, Paula. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina
Fil: Lewis, Miriam C.. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina
Fil: Bettiol, Marisa Paula. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina
Fil: Martina, Pablo F.. No especifíca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Fermentaciones Industriales. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Fermentaciones Industriales; Argentina
Fil: Bosch, María Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Fermentaciones Industriales. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Fermentaciones Industriales; Argentina
Fil: Gatti, Blanca Maria. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina
Materia
Burkholderia cepacia complex
cystic fibrosis
PCR, recA gene,
VITEK2 compact, API 20NE
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/183267
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/183267
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicasEvaluation of commercial systems VITEK 2 and API 20NE for identification of Burkholderia cepacia complex bacteria from clinical samples.Oderiz, SebastiánPalau, María J.del Palacio, PaulaLewis, Miriam C.Bettiol, Marisa PaulaMartina, Pablo F.Bosch, María AlejandraGatti, Blanca MariaBurkholderia cepacia complexcystic fibrosisPCR, recA gene,VITEK2 compact, API 20NEhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Evaluation of commercial systems VITEK 2 and API 20NE for identification of Burkholderia cepacia complex bacteria from clinical samples. Species belonging to the Burkholderia cepacia complex (BCC) are capable of causing chronic respiratory tract infections in patients suffering from cystic fibrosis as wel as in immunocompromised individuals. Most of these species are highly resistant to antibiotic therapy, generating the need for their rapid and accurate detection<br />for the proper treatment and clinical management of these patients. In this wok, the polymerase chain reaction (PCR) technique based on the amplification of the recA gene (PCR-recA) was applied for an accurate identification of bacteria belonging to the BCC. Sensitivity (S) and specificity (E) of two biochemically-based commercial automated systems, API 20NE and VITEK 2 (bioMérieux®), and of the most representative biochemical manual tests for the identification of the Burkholderia cepacia complex were herein evaluated. The commercial systems VITEK 2 and API 20NE showed the following sensitivity and specificity vaues for identification to the species level, S: 71.1 %, E: 100 %, S: 69.7 %, E: 90.2 %, respectively. More complex results were observed for phenotypic manual tests, since BCC bacteria can undergo selective pressure to survive in chronic patients causing the loss of their typical phenotypic characteristics. The PCR-recA technique was easy to implement even in medium - complexity clinical diagnostic laboratories.Species belonging to the Burkholderia cepacia complex (BCC) are capable of causing chronic respiratory tract infections in patients suffering from cystic fibrosis as wel as in immunocompromised individuals. Most of these species are highly resistant to antibiotic therapy, generating the need for their rapid and accurate detection for the proper treatment and clinical management of these patients. In this wok, the polymerase chain reaction (PCR) technique based on the amplification of the recA gene (PCR-recA) was applied for an accurate identification of bacteria belonging to the BCC. Sensitivity (S) and specificity (E) of two biochemically-based commercial automated systems, API 20NE and VITEK 2 (bioMérieux®), and of the most representative biochemical manual tests for the identification of the Burkholderia cepacia complex were herein evaluated. The commercial systems VITEK 2 and API 20NE showed the following sensitivity and specificity vaues for identification to the species level, S: 71.1 %, E: 100 %, S: 69.7 %, E: 90.2 %, respectively. More complex results were observed for phenotypic manual tests, since BCC bacteria can undergo selective pressure to survive in chronic patients causing the loss of their typical phenotypic characteristics. The PCR-recA technique was easy to implement even in medium-complexity clinical diagnostic laboratories.Fil: Oderiz, Sebastián. Sala de Microbiologí HIAEP "Sor María Ludovica"; ArgentinaFil: Palau, María J.. Sala de Microbiologí HIAEP "Sor María Ludovica"; ArgentinaFil: del Palacio, Paula. Sala de Microbiologí HIAEP "Sor María Ludovica"; ArgentinaFil: Lewis, Miriam C.. Sala de Microbiologí HIAEP "Sor María Ludovica"; ArgentinaFil: Bettiol, Marisa Paula. Sala de Microbiologí HIAEP "Sor María Ludovica"; ArgentinaFil: Martina, Pablo F.. No especifíca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Fermentaciones Industriales. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Fermentaciones Industriales; ArgentinaFil: Bosch, María Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Fermentaciones Industriales. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Fermentaciones Industriales; ArgentinaFil: Gatti, Blanca Maria. Sala de Microbiologí HIAEP "Sor María Ludovica"; ArgentinaAsociación Argentina de Microbiología2011-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/183267Oderiz, Sebastián; Palau, María J.; del Palacio, Paula; Lewis, Miriam C. ; Bettiol, Marisa Paula; et al.; Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas; Asociación Argentina de Microbiología; Revista Argentina de Microbiología; 43; 5-2011; 168-1750325-75411851-7617CONICET DigitalCONICETspainfo:eu-repo/semantics/altIdentifier/url/http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S0325-75412011000300002info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:24:57Zoai:ri.conicet.gov.ar:11336/183267instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:24:57.348CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas
Evaluation of commercial systems VITEK 2 and API 20NE for identification of Burkholderia cepacia complex bacteria from clinical samples.
title Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas
spellingShingle Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas
Oderiz, Sebastián
Burkholderia cepacia complex
cystic fibrosis
PCR, recA gene,
VITEK2 compact, API 20NE
title_short Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas
title_full Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas
title_fullStr Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas
title_full_unstemmed Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas
title_sort Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas
dc.creator.none.fl_str_mv Oderiz, Sebastián
Palau, María J.
del Palacio, Paula
Lewis, Miriam C.
Bettiol, Marisa Paula
Martina, Pablo F.
Bosch, María Alejandra
Gatti, Blanca Maria
author Oderiz, Sebastián
author_facet Oderiz, Sebastián
Palau, María J.
del Palacio, Paula
Lewis, Miriam C.
Bettiol, Marisa Paula
Martina, Pablo F.
Bosch, María Alejandra
Gatti, Blanca Maria
author_role author
author2 Palau, María J.
del Palacio, Paula
Lewis, Miriam C.
Bettiol, Marisa Paula
Martina, Pablo F.
Bosch, María Alejandra
Gatti, Blanca Maria
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Burkholderia cepacia complex
cystic fibrosis
PCR, recA gene,
VITEK2 compact, API 20NE
topic Burkholderia cepacia complex
cystic fibrosis
PCR, recA gene,
VITEK2 compact, API 20NE
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Evaluation of commercial systems VITEK 2 and API 20NE for identification of Burkholderia cepacia complex bacteria from clinical samples. Species belonging to the Burkholderia cepacia complex (BCC) are capable of causing chronic respiratory tract infections in patients suffering from cystic fibrosis as wel as in immunocompromised individuals. Most of these species are highly resistant to antibiotic therapy, generating the need for their rapid and accurate detection<br />for the proper treatment and clinical management of these patients. In this wok, the polymerase chain reaction (PCR) technique based on the amplification of the recA gene (PCR-recA) was applied for an accurate identification of bacteria belonging to the BCC. Sensitivity (S) and specificity (E) of two biochemically-based commercial automated systems, API 20NE and VITEK 2 (bioMérieux®), and of the most representative biochemical manual tests for the identification of the Burkholderia cepacia complex were herein evaluated. The commercial systems VITEK 2 and API 20NE showed the following sensitivity and specificity vaues for identification to the species level, S: 71.1 %, E: 100 %, S: 69.7 %, E: 90.2 %, respectively. More complex results were observed for phenotypic manual tests, since BCC bacteria can undergo selective pressure to survive in chronic patients causing the loss of their typical phenotypic characteristics. The PCR-recA technique was easy to implement even in medium - complexity clinical diagnostic laboratories.
Species belonging to the Burkholderia cepacia complex (BCC) are capable of causing chronic respiratory tract infections in patients suffering from cystic fibrosis as wel as in immunocompromised individuals. Most of these species are highly resistant to antibiotic therapy, generating the need for their rapid and accurate detection for the proper treatment and clinical management of these patients. In this wok, the polymerase chain reaction (PCR) technique based on the amplification of the recA gene (PCR-recA) was applied for an accurate identification of bacteria belonging to the BCC. Sensitivity (S) and specificity (E) of two biochemically-based commercial automated systems, API 20NE and VITEK 2 (bioMérieux®), and of the most representative biochemical manual tests for the identification of the Burkholderia cepacia complex were herein evaluated. The commercial systems VITEK 2 and API 20NE showed the following sensitivity and specificity vaues for identification to the species level, S: 71.1 %, E: 100 %, S: 69.7 %, E: 90.2 %, respectively. More complex results were observed for phenotypic manual tests, since BCC bacteria can undergo selective pressure to survive in chronic patients causing the loss of their typical phenotypic characteristics. The PCR-recA technique was easy to implement even in medium-complexity clinical diagnostic laboratories.
Fil: Oderiz, Sebastián. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina
Fil: Palau, María J.. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina
Fil: del Palacio, Paula. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina
Fil: Lewis, Miriam C.. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina
Fil: Bettiol, Marisa Paula. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina
Fil: Martina, Pablo F.. No especifíca; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Fermentaciones Industriales. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Fermentaciones Industriales; Argentina
Fil: Bosch, María Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Fermentaciones Industriales. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Fermentaciones Industriales; Argentina
Fil: Gatti, Blanca Maria. Sala de Microbiologí HIAEP "Sor María Ludovica"; Argentina
description Evaluation of commercial systems VITEK 2 and API 20NE for identification of Burkholderia cepacia complex bacteria from clinical samples. Species belonging to the Burkholderia cepacia complex (BCC) are capable of causing chronic respiratory tract infections in patients suffering from cystic fibrosis as wel as in immunocompromised individuals. Most of these species are highly resistant to antibiotic therapy, generating the need for their rapid and accurate detection<br />for the proper treatment and clinical management of these patients. In this wok, the polymerase chain reaction (PCR) technique based on the amplification of the recA gene (PCR-recA) was applied for an accurate identification of bacteria belonging to the BCC. Sensitivity (S) and specificity (E) of two biochemically-based commercial automated systems, API 20NE and VITEK 2 (bioMérieux®), and of the most representative biochemical manual tests for the identification of the Burkholderia cepacia complex were herein evaluated. The commercial systems VITEK 2 and API 20NE showed the following sensitivity and specificity vaues for identification to the species level, S: 71.1 %, E: 100 %, S: 69.7 %, E: 90.2 %, respectively. More complex results were observed for phenotypic manual tests, since BCC bacteria can undergo selective pressure to survive in chronic patients causing the loss of their typical phenotypic characteristics. The PCR-recA technique was easy to implement even in medium - complexity clinical diagnostic laboratories.
publishDate 2011
dc.date.none.fl_str_mv 2011-05
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/183267
Oderiz, Sebastián; Palau, María J.; del Palacio, Paula; Lewis, Miriam C. ; Bettiol, Marisa Paula; et al.; Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas; Asociación Argentina de Microbiología; Revista Argentina de Microbiología; 43; 5-2011; 168-175
0325-7541
1851-7617
CONICET Digital
CONICET
url http://hdl.handle.net/11336/183267
identifier_str_mv Oderiz, Sebastián; Palau, María J.; del Palacio, Paula; Lewis, Miriam C. ; Bettiol, Marisa Paula; et al.; Evaluación de los sistemas comerciales automátizados VITEK 2 y API 20NE para la identificación de organismos del Complejo Burkholderia cepacia aislados de muestras clínicas; Asociación Argentina de Microbiología; Revista Argentina de Microbiología; 43; 5-2011; 168-175
0325-7541
1851-7617
CONICET Digital
CONICET
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.scielo.org.ar/scielo.php?script=sci_arttext&pid=S0325-75412011000300002
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
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application/pdf
application/pdf
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dc.publisher.none.fl_str_mv Asociación Argentina de Microbiología
publisher.none.fl_str_mv Asociación Argentina de Microbiología
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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