Effects of clinically achievable pulmonary antibiotic concentrations on the recovery of bacteria: in vitro comparison of the BioFire FILMARRAY Pneumonia Panel versus conventional culture methods in bronchoalveolar lavage fluid.
Andrew J FratoniAmity L RobertsDavid P NicolauJoseph L KutiPublished in: Journal of clinical microbiology (2023)
Empiric antibiotics may affect bacterial pathogen recovery using conventional culture methods (CCMs), while PCR-based diagnostics are likely less affected. Herein, we conducted an in vitro study of bronchoalveolar lavage fluid (BAL) inoculated with bacteria and clinically relevant antibiotic concentrations to compare the recovery between the BioFire FILMARRAY Pneumonia Panel (Pn Panel) and CCMs. Remnant clinical BAL specimens were inoculated to ~10 5 cfu/mL using 12 clinical isolates. Isolates consisted of one wild-type (WT) and one or more resistant strains of: Escherichia coli , Klebsiella pneumoniae , Pseudomonas aeruginosa , Acinetobacter baumannii , and Staphylococcus aureus . Piperacillin-tazobactam, cefepime, meropenem, levofloxacin, or vancomycin was added to achieve pulmonary epithelial lining fluid peak and trough concentrations. Post-exposure cfu/mL was quantified by CCMs and simultaneously tested by the PN Panel for identification and semi-quantitative genetic copies/mL. CCM results were categorized as significant growth (SG) (≥1 × 10 4 ), no significant growth (NSG) (≥1 × 10 3 , <1 × 10 4 ), or no growth (NG) (<1 × 10 3 ). The PN Panel accurately identified all isolates, resistance genes, and reported ≥10 6 genetic copies/mL regardless of antibiotic exposure. The CCM also identified all S. aureus strains exposed to vancomycin. For WT Gram-negative isolates exposed to antibiotics, SG, NSG, and NG were observed in 7/52 (13%), 18/52 (35%), and 27/52 (52%) of CCM experiments, respectively. For resistant Gram-negatives isolates, SG, NSG, and NG were observed in 62/88 (70%), 17/88 (19%), and 9/88 (10%), respectively. These in vitro data demonstrate that the PN Panel is able to identify Gram-negative pathogens in the presence of clinically significant antibiotic concentrations when CCM may not.
Keyphrases
- gram negative
- multidrug resistant
- acinetobacter baumannii
- klebsiella pneumoniae
- drug resistant
- escherichia coli
- pseudomonas aeruginosa
- staphylococcus aureus
- genetic diversity
- genome wide
- biofilm formation
- pulmonary hypertension
- methicillin resistant staphylococcus aureus
- cystic fibrosis
- high resolution
- bioinformatics analysis
- gene expression
- respiratory failure
- copy number
- clinical evaluation