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

Bhavani Moodley1, Stefano Tempia2,3,4, John Andrew Frean1,5

  • 1Centre for Emerging, Zoonotic and Parasitic Diseases, National Institute for Communicable Diseases of the National Health Laboratory Service, Johannesburg, South Africa.

Plos One
|July 7, 2017
PubMed
Abstract

Insights

Quantitative real-time PCR (qPCR) can differentiate Pneumocystis pneumonia (PCP) infection from colonization in HIV patients. A validated qPCR cut-off value improves diagnostic accuracy when used alongside clinical data.

Area of Science:

  • Medical Diagnostics
  • Infectious Diseases
  • Molecular Biology

Background:

  • Pneumocystis pneumonia (PCP) poses a significant risk to HIV-positive individuals.
  • Distinguishing PCP infection from asymptomatic colonization is crucial for effective treatment.
  • Quantitative real-time PCR (qPCR) offers high sensitivity but requires standardized cut-off values.

Purpose of the Study:

  • To compare qPCR with immunofluorescence assay (IFA) for PCP diagnosis.
  • To establish a reliable qPCR gene copy number cut-off value for differentiating infection from colonization.
  • To assess the diagnostic performance of qPCR against IFA.

Main Methods:

  • Induced sputum specimens were collected from patients suspected of PCP.
  • Conventional direct immunofluorescence assay (IFA) and qPCR were used for laboratory diagnosis.
  • Receiver operating characteristic (ROC) analysis was performed to determine the optimal qPCR cut-off value.

Main Results:

  • P. jirovecii was detected in 67% of specimens by qPCR, versus 51% by IFA.
  • An optimal qPCR cut-off of 78 copies/5 μl was identified, with an area under the ROC curve of 0.92.
  • qPCR demonstrated 94.6% sensitivity and 89.1% specificity compared to IFA at this cut-off.

Conclusions:

  • The proposed qPCR cut-off value shows excellent predictive value for PCP diagnosis.
  • IFA serves as an imperfect gold standard, necessitating the integration of clinical data for qPCR interpretation.
  • Standardized qPCR cut-offs are essential for routine clinical application in PCP diagnostics.