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This prospective cohort study compared the BioFire FilmArray Pneumonia Panel Plus (PNplus) to standard of care (SOC) microbiology on bronchoalveolar lavage (BAL) samples from 53 lung transplant donor-recipient pairs. PNplus showed substantial agreement with SOC for bacterial species identification in donor BAL samples, with significantly faster turnaround times, and detected pathogens more frequently in recipient BAL samples, although overall concordance was moderate. The study highlights the potential of PNplus to guide perioperative antibiotic prophylaxis (PAP) adjustment in lung transplantation.
Rapid pathogen detection using the BioFire FilmArray Pneumonia Panel Plus in lung transplant donors shows strong agreement with standard microbiology, potentially enabling quicker and more targeted antibiotic prophylaxis.
BACKGROUND Lung transplantation (LuTx) is hampered by infectious risks. Perioperative antibiotic prophylaxis (PAP) is widely used; however, real-time adjustment is hindered by the timing of standard microbiology. Syndromic molecular panels offer rapid results, yet their integration into PAP strategies remains unclear. METHODS We conducted a prospective cohort study comparing the BioFire FilmArray Pneumonia Panel Plus (PNplus) with standard of care (SOC) on bronchoalveolar lavage (BAL) samples obtained from donors at procurement and from recipients 72 h after LuTx. Concordance between PNplus and SOC was assessed for bacterial species and antimicrobial resistance genes. RESULTS Fifty-three donor-recipient pairs were analyzed. In donor BAL, PNplus identified at least one pathogen in 67.9% (36/53) of cases versus 63.5% (33/53) by SOC, with a markedly shorter time to result (221 min vs. 5.3 days). Concordance between PNplus and SOC for bacterial species was substantial (Cohen's κ = 0.654), particularly for Staphylococcus aureus (Cohen's κ = 0.689), Streptococcus pneumoniae (Cohen's κ = 0.658), and Pseudomonas aeruginosa (Cohen's κ = 0.731). In recipient BAL, PNplus detected pathogens in 61.5% (32/53) compared to 47.2% (25/53) with SOC, but overall concordance was only moderate (κ = 0.365). Resistance gene concordance was minimal, with PNplus often identifying additional determinants not confirmed by SOC. Viruses were detected exclusively by PNplus, while fungi were identified only by SOC. CONCLUSION PNplus provides rapid, clinically relevant pathogen detection in LuTx, showing substantial agreement with SOC in donor samples and offering potential to support PAP adjustment. In early post-transplant recipient BAL, interpretation requires caution, and SOC remains indispensable, particularly for detecting fungi and confirming phenotypic resistance.