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Characterization of Inflammatory Responses During Intranasal Colonization with Streptococcus pneumoniae
Published on: January 17, 2014
Ability of quantitative PCR to discriminate Pneumocystis jirovecii pneumonia from colonization
Thomas Perret1, Antonios Kritikos1, Philippe M Hauser2
1Infectious Diseases Service, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Abstract:
Introduction. Pneumocystis jirovecii pneumonia (PCP) is a severe disease affecting immunocompromised patients. Diagnosis is difficult due to the low sensitivity of direct examination and inability to grow the pathogen in culture. Quantitative PCR in bronchoalveolar lavage fluid (BAL) has high sensitivity, but limited specificity for distinguishing PCP from colonization.Aim. To assess the performance of an in-house quantitative PCR to discriminate between PCP and colonization.Methodology. This was a single-centre retrospective study including all patients with a positive PCR result for P. jirovecii in BAL between 2009 and 2017. Irrespective of PCR results, PCP was defined as the presence of host factors and clinical/radiological criteria consistent with PCP and (i) the presence of asci at direct examination of respiratory sample or (ii) anti-PCP treatment initiated with clinical response and absence of alternative diagnosis. Colonization was considered for cases who did not receive anti-PCP therapy with a favourable outcome or an alternative diagnosis. Cases who did not meet the above mentioned criteria were classified as 'undetermined'.Results. Seventy-one patients with positive P. jirovecii PCR were included (90 % non-HIV patients). Cases were classified as follows: 37 PCP, 22 colonization and 12 undetermined. Quantitative PCR values in BAL were significantly higher in patients with PCP versus colonization or undetermined (P<0.0001). The cut-off of 5×103 copies/ml was able to discriminate PCP cases from colonization with 97 % sensitivity, 82 % specificity, 90 % positive predictive value and 95 % negative predictive value.Conclusions. Our quantitative PCR for P. jirovecii in BAL was reliable to distinguish PCP cases from colonization in this predominantly non-HIV population.
Insights
Quantitative PCR reliably distinguishes Pneumocystis jirovecii pneumonia (PCP) from colonization in bronchoalveolar lavage fluid. This method aids diagnosis in immunocompromised patients, especially in non-HIV cases.
Area of Science:
- Medical Microbiology
- Infectious Diseases
- Diagnostic Microbiology
Background:
- Pneumocystis jirovecii pneumonia (PCP) is a severe opportunistic infection in immunocompromised individuals.
- Diagnosing PCP is challenging due to low sensitivity of direct microscopy and inability to culture the organism.
- Quantitative PCR (qPCR) in bronchoalveolar lavage fluid (BAL) shows high sensitivity but limited specificity for differentiating PCP from colonization.
Purpose of the Study:
- To evaluate the diagnostic performance of an in-house quantitative PCR assay.
- To discriminate between true Pneumocystis jirovecii pneumonia (PCP) and colonization using qPCR in BAL fluid.
Main Methods:
- Retrospective single-center study of 71 patients with positive *P. jirovecii* PCR in BAL fluid (2009-2017).
- PCP defined by clinical/radiological criteria, host factors, and either direct examination or treatment response.
- Colonization defined by absence of anti-PCP therapy with favorable outcome or alternative diagnosis.
Main Results:
- Of 71 patients (90% non-HIV), 37 had PCP, 22 colonization, and 12 were undetermined.
- Quantitative PCR values in BAL were significantly higher in PCP cases compared to colonization/undetermined (P<0.0001).
- A cut-off of 5x10^3 copies/ml achieved 97% sensitivity and 82% specificity for distinguishing PCP from colonization.
Conclusions:
- The developed quantitative PCR assay reliably differentiates PCP from colonization in BAL fluid.
- This assay is particularly valuable for diagnosing PCP in predominantly non-HIV immunocompromised populations.
- Quantitative PCR provides a sensitive and specific tool for PCP diagnosis, improving patient management.

