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Comparison of quantitative real-time PCR and direct immunofluorescence for the detection of Pneumocystis jirovecii

Supporting Files Public Domain
File Language:
English


Details

  • Alternative Title:
    PLoS One
  • Personal Author:
  • Description:
    Background

    Pneumocystis pneumonia (PCP) is a serious risk for HIV-positive patients. Asymptomatic infection or colonisation with P. jirovecii has been shown to occur frequently. PCR assays frequently identify such cases, due to their high sensitivity. Quantitative real-time PCR (qPCR) gene copy number cut-off values have been suggested to differentiate colonisation and infection; these need to be standardised for routine use. We compared the results of qPCR with an immunofluorescence assay (IFA) to determine a specific cut-off value.

    Methods

    From March 2005 through June 2009, induced sputum specimens were collected from adult patients who were clinically suspected of having PCP, at the Chris Hani Baragwanath Hospital in Gauteng, South Africa. Laboratory diagnosis of PCP was done by a conventional direct IFA and a qPCR assay. A receiver operating characteristic (ROC) analysis was performed to determine a suitable copy number cut-off value.

    Results

    P. jirovecii was identified in 51% (156/305) and 67% (204/305) of specimens using IFA and qPCR, respectively. The cut-off value for the qPCR that best predicted the IFA results was 78 copies/5 μl (area under ROC curve 0.92). The sensitivity and specificity of qPCR using this cut-off was 94.6% and 89.1%, respectively, compared with the IFA.

    Discussion

    The results of the ROC curve analysis indicate an excellent predictive value of the qPCR using the proposed cut-off. However, the IFA test is an imperfect gold standard and so this cut-off should not be used in isolation; clinical data should also contribute to the interpretation of the qPCR result.

  • Subjects:
  • Source:
    PLoS One. 2017; 12(7).
  • Pubmed ID:
    28683092
  • Pubmed Central ID:
    PMC5500343
  • Document Type:
  • Volume:
    12
  • Issue:
    7
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:3edfc3c69b0c14fd53b1d359e63d41872bae4e7884b0a4cf700e1ec43f456e04
  • Download URL:
  • File Type:
    Filetype[PDF - 3.14 MB ]
File Language:
English
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