Quantitative PCR to diagnose Pneumocystis pneumonia in immunocompromised non-HIV patients

The utility of quantitative Pneumocystis jirovecii PCR in clinical routine for diagnosing Pneumocystis pneumonia (PCP) in immunocompromised non-HIV patients is unknown. We analysed bronchoalveolar lavage fluid with real-time quantitative P. jirovecii PCR in 71 cases with definitive PCP defined by positive immunofluorescence (IF) tests and in 171 randomly selected patients with acute lung disease. In those patients, possible PCP cases were identified by using a novel standardised PCP probability algorithm and chart review. PCR performance was compared with IF testing, clinical judgment and the PCP probability algorithm. Quantitative P. jirovecii PCR values >1,450 pathogens·mL(-1) had a positive predictive value of 98.0% (95% CI 89.6-100.0%) for diagnosing definitive PCP. PCR values of between 1 and 1,450 pathogens·mL(-1) were associated with both colonisation and infection; thus, a cut-off between the two conditions could not be identified and diagnosis of PCP in this setting relied on IF and clinical assessment. Clinical PCP could be ruled out in 99.3% of 153 patients with negative PCR results. Quantitative PCR is useful for diagnosing PCP and is complementary to IF. PCR values of >1,450 pathogens·mL(-1) allow reliable diagnosis, whereas negative PCR results virtually exclude PCP. Intermediate values require additional clinical assessment and IF testing. On the basis of our data and for economic and logistical limitations, we propose a clinical algorithm in which IF remains the preferred first test in most cases, followed by PCR in those patients with a negative IF and strong clinical suspicion for PCP.

Detecting and resolving position-dependent temperature effects in real-time quantitative polymerase chain reaction

Real-time quantitative polymerase chain reaction (qPCR) depends on precise temperature control of the sample during cycling. In the current study, we investigated how temperature variation in plate-based qPCR instruments influences qPCR results. Temperature variation was measured by amplicon melting analysis as a convenient means to assess well-to-well differences. Multiple technical replicates of several SYBR Green I-based qPCR assays allowed correlation of relative well temperature to quantification cycle. We found that inadequate template denaturation results in an inverse correlation and requires increasing the denaturation temperature, adding a DNA destabilizing agent, or pretreating with a restriction enzyme. In contrast, inadequate primer annealing results in a direct correlation and requires lowering the annealing temperature. Significant correlations were found in 18 of 25 assays. The critical nature of temperature-dependent effects was shown in a blinded study of 29 patients for the diagnosis of Prader-Willy and Angelman syndromes, where eight diagnoses were incorrect unless temperature-dependent effects were controlled. A method to detect temperature-dependent effects by pairwise comparisons of replicates in routine experiments is presented and applied. Systematic temperature errors in qPCR instruments can be recognized and their effects eliminated when high precision is required in quantitative genetic diagnostics and critical complementary DNA analyses.