Lab-in-a-tube: Real-time molecular point-of-care diagnostics for influenza A and B using the cobas® Liat® system.
J Med Virol
; 89(8): 1382-1386, 2017 08.
Article
em En
| MEDLINE
| ID: mdl-28213975
Rapid diagnosis of influenza A and B is important for direct treatment decisions in patient care and for the reduction of in-hospital transmissions. The new real-time PCR based molecular point-of-care (POC) assay, the cobas® Influenza A/B test on the cobas® Liat® System (cobas® Liat® Influenza A/B assay), generated a PCR result in less than 20 min, was evaluated for the detection of influenza A and B. One hundred twenty-one retrospectively collected respiratory specimens, previously analyzed with a routine influenza A/B test (Diagenode) were tested using the cobas® Liat® Influenza A/B assay. The cobas® Liat® Influenza A/B assay allows influenza A and B testing by RT-PCR within 20 min. This assay detected influenza A in 51 of 56 samples positive by the Diagenode test. The five discrepant results were retested with the Cepheid Influenza A/B test, confirming two positive cases. All 30 influenza B Diagenode positive samples were found positive by the cobas® Liat® Influenza A/B assay. Control samples (viral negative and non-influenza pathogens) were all negative by the cobas® Liat® Influenza A/B assay. The cobas® Liat® Influenza A/B assay showed a sensitivity for influenza A/B of 96% and 100%, respectively, and 100% specificity for both targets. The cobas® Liat® Influenza A/B assay is a useful tool for accurate, rapid, and sensitive detection of influenza A and B, offering timely and personalized patient management and infection control when implemented at the point-of-care.
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Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Vírus da Influenza A
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Vírus da Influenza B
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Sistemas Automatizados de Assistência Junto ao Leito
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Técnicas de Diagnóstico Molecular
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Influenza Humana
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Reação em Cadeia da Polimerase em Tempo Real
Tipo de estudo:
Diagnostic_studies
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Evaluation_studies
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Observational_studies
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Prognostic_studies
Limite:
Humans
Idioma:
En
Ano de publicação:
2017
Tipo de documento:
Article