Version 1
: Received: 21 October 2024 / Approved: 22 October 2024 / Online: 24 October 2024 (10:02:08 CEST)
How to cite:
Benvenuto, N.; Di Bella, S.; Principe, L.; Luppino, D.; Conti, J.; Costantino, V.; Di Santolo, M.; Busetti, M.; Luzzati, R.; Zerbato, V. BioFire® Joint Infection Panel for Samples Other Than Synovial Fluid. Preprints2024, 2024101698. https://doi.org/10.20944/preprints202410.1698.v1
Benvenuto, N.; Di Bella, S.; Principe, L.; Luppino, D.; Conti, J.; Costantino, V.; Di Santolo, M.; Busetti, M.; Luzzati, R.; Zerbato, V. BioFire® Joint Infection Panel for Samples Other Than Synovial Fluid. Preprints 2024, 2024101698. https://doi.org/10.20944/preprints202410.1698.v1
Benvenuto, N.; Di Bella, S.; Principe, L.; Luppino, D.; Conti, J.; Costantino, V.; Di Santolo, M.; Busetti, M.; Luzzati, R.; Zerbato, V. BioFire® Joint Infection Panel for Samples Other Than Synovial Fluid. Preprints2024, 2024101698. https://doi.org/10.20944/preprints202410.1698.v1
APA Style
Benvenuto, N., Di Bella, S., Principe, L., Luppino, D., Conti, J., Costantino, V., Di Santolo, M., Busetti, M., Luzzati, R., & Zerbato, V. (2024). BioFire® Joint Infection Panel for Samples Other Than Synovial Fluid. Preprints. https://doi.org/10.20944/preprints202410.1698.v1
Chicago/Turabian Style
Benvenuto, N., Roberto Luzzati and Verena Zerbato. 2024 "BioFire® Joint Infection Panel for Samples Other Than Synovial Fluid" Preprints. https://doi.org/10.20944/preprints202410.1698.v1
Abstract
Objectives: early identification of infection-causing microorganisms through multiplex PCR panels enables prompt and targeted antibiotic therapy. The study aimed to assess the performance of the BioFire® Joint Infection Panel (BF-JIP) in analysing non-synovial fluid samples. Methods: we conducted a retrospective cohort study at Trieste University Hospital, Italy, on hospitalised adults with non-synovial fluid samples tested by both BF-JIP and traditional culture methods (November 2022-April 2024). Results: we evaluated 48 samples from 45 patients, including 24 abscess drainage fluids and 10 biopsies. The BF-JIP showed high concordance (85.4%) and enhanced detection (4.3%) compared to culture methods. The BF-JIP excelled in CSF (100% accuracy and concordance) and in abscess drainage fluids (accuracy: 95.8%; concordance: 91.7%), and maintained high performance in patients under antibiotics. Conclusions: these findings suggest that BF-JIP is a valuable tool for accurate pathogen detection in various clinical samples, offering the additional advantage of being a rapid method.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.