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    Development of a diagnostic real-time polymerase chain reaction assay for the detection of invasive Haemophilus influenzae in clinical samples.

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    Authors
    Meyler, Kenneth L
    Meehan, Mary
    Bennett, Desiree
    Cunney, Robert
    Cafferkey, Mary
    Affiliation
    Epidemiology and Molecular Biology Unit and Irish Meningococcal and Meningitis Reference Laboratory, The Children's University Hospital, Temple Street, Dublin, Ireland. kenneth.meyler@cuh.ie
    Issue Date
    2012-12
    MeSH
    Haemophilus Infections
    Haemophilus influenzae
    Humans
    Molecular Diagnostic Techniques
    Real-Time Polymerase Chain Reaction
    Sensitivity and Specificity
    
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    Citation
    Development of a diagnostic real-time polymerase chain reaction assay for the detection of invasive Haemophilus influenzae in clinical samples. 2012, 74 (4):356-62 Diagn. Microbiol. Infect. Dis.
    Journal
    Diagnostic microbiology and infectious disease
    URI
    http://hdl.handle.net/10147/296026
    DOI
    10.1016/j.diagmicrobio.2012.08.018
    PubMed ID
    23017260
    Abstract
    Since the introduction of the Haemophilus influenzae serotype b vaccine, invasive H. influenzae disease has become dominated by nontypeable (NT) strains. Several widely used molecular diagnostic methods have been shown to lack sensitivity or specificity in the detection of some of these strains. Novel real-time assays targeting the fucK, licA, and ompP2 genes were developed and evaluated. The fucK assay detected all strains of H. influenzae tested (n = 116) and had an analytical sensitivity of 10 genome copies/polymerase chain reaction (PCR). This assay detected both serotype b and NT H. influenzae in 12 previously positive specimens (culture and/or bexA PCR) and also detected H. influenzae in a further 5 of 883 culture-negative blood and cerebrospinal fluid (CSF) samples. The fucK assay has excellent potential as a diagnostic test for detection of typeable and nontypeable strains of invasive H. influenzae in clinical samples of blood and CSF.
    Item Type
    Article
    Language
    en
    ISSN
    1879-0070
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.diagmicrobio.2012.08.018
    Scopus Count
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    Temple Street Hospital

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