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Determining Pneumocystis jirovecii Colonisation from Infection Using PCR-Based Diagnostics in HIV-Negative
Anna Louise Watson1,2, John Woodford3, Sumudu Britton1
1Infectious Diseases, Royal Brisbane & Women's Hospital, Metro North Health, Herston, QLD 4006, Australia.
Background:
Pneumocystis jirovecii pneumonia is increasingly diagnosed with highly sensitive PCR diagnostics in immunocompromised, HIV-negative individuals. We assessed the performance of our in-house quantitative PCR with the aim to optimise interpretation.
Methods:
Retrospective audit of all positive P. jirovecii qPCRs on induced sputum or BAL fluid at a single centre from 2012 to 2023. Medical and laboratory records were analysed and people with HIV were excluded. Cases were categorised as colonisation, high-probability PCP or uncertain PCP infection against a clinical gold standard incorporating clinico-radiological data. Quantitative PCR assay targeting the 5s gene was utilised throughout the time period.
Results:
Of the 82 positive qPCRs, 28 were categorised as high-probability PCP infection, 30 as uncertain PCP and 24 as colonisation. There was a significant difference in qPCR values stratified by clinical category but not respiratory sample type. Current assay performance with a cutoff of 2.5 × 105 copies/mL had a sensitivity of 50% (95% CI, 30.65-69.35%) and specificity of 83.33% (95% CI, 62.62-95.26%). Youden Index calculated at 6.5 × 104 copies/mL had a sensitivity of 75% (56.64-87.32%, 95% CI) and specificity of 66.67% (46.71-82.03%, 95% CI). High and low cutoffs were explored. Significant variables associated with infection were age > 70 years old, the presence of fever, hypoxia or ground glass changes.
Conclusions:
A single qPCR cutoff cannot reliably determine P. jirovecii infection from colonisation. Low and high cutoffs are useful, however, a large "possible infection" cohort will remain where interpretation of clinic-radiological factors remains essential. Standardisation of assays with prospective validation in specific immunocompromised groups will allow greater generalisability and allow large-scale prospective assay validation to be performed.
Insights
Quantitative PCR (qPCR) cannot reliably distinguish Pneumocystis jirovecii pneumonia from colonization. Clinical factors are essential for interpreting results in immunocompromised patients, especially when qPCR values fall into an uncertain range.
Area of Science:
- Medical Diagnostics
- Infectious Diseases
- Molecular Biology
Background:
- Pneumocystis jirovecii pneumonia (PCP) is increasingly diagnosed in immunocompromised, HIV-negative individuals using sensitive PCR.
- Accurate differentiation between PCP infection and colonization is crucial for appropriate patient management.
Purpose of the Study:
- To assess the performance of an in-house quantitative PCR (qPCR) assay for Pneumocystis jirovecii.
- To optimize the interpretation of qPCR results in immunocompromised, HIV-negative patients.
Main Methods:
- Retrospective audit of 82 positive P. jirovecii qPCRs from induced sputum or BAL fluid (2012-2023).
- Exclusion of patients with HIV; categorization of cases (colonization, high-probability PCP, uncertain PCP) against a clinical gold standard.
- Analysis of qPCR values and correlation with clinico-radiological data and patient demographics.
Main Results:
- Significant differences in qPCR values were observed across clinical categories (infection vs. colonization).
- A cutoff of 2.5 × 10^5 copies/mL yielded 50% sensitivity and 83.33% specificity.
- A Youden Index cutoff of 6.5 × 10^4 copies/mL improved sensitivity to 75% but reduced specificity to 66.67%.
- Factors like age >70, fever, hypoxia, and ground glass changes were associated with infection.
Conclusions:
- A single qPCR cutoff is insufficient to reliably differentiate P. jirovecii infection from colonization.
- Both low and high qPCR cutoffs are useful, but a significant 'possible infection' group requires clinical and radiological interpretation.
- Standardization and prospective validation of assays in specific immunocompromised groups are needed for generalizability.
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