Article ; Online: A prospective multicentre evaluation of BioFire® Joint Infection Panel for the rapid microbiological documentation of acute arthritis.
2024
Abstract: Objectives: To assess the performance of the rapid syndromic BioFire® Joint Infection Panel (BF-JIP) to detect bacterial and fungal pathogens, as well as antibiotic resistance genes, directly in synovial fluid specimens collected from patients with ... ...
| Abstract | Objectives: To assess the performance of the rapid syndromic BioFire® Joint Infection Panel (BF-JIP) to detect bacterial and fungal pathogens, as well as antibiotic resistance genes, directly in synovial fluid specimens collected from patients with acute arthritis. Methods: The study was conducted in six French bacteriological laboratories. To assess the performances of BF-JIP, results were compared with those of synovial fluid 14-day culture and, in case of discrepancy, with those of complementary molecular methods and intraoperative samples. A total of 308 synovial fluid specimens were tested after collection from 308 adults and children presenting with clinical and biological suspicion of acute arthritis; patients presenting with acute periprosthetic joint infection were included according to the European Bone and Joint Infection Society 2021 criteria. Results: Only one specimen failed (no result). On the basis of the consolidated data, the BF-JIP was concordant with the 14-day culture in 280 (91.2%) of the 307 specimens finally included in the study. The positive percentage agreement was 84.9% (95% CI, 78.8-89.8%) and the negative percentage agreement was 100% (95% CI, 97.2-100%). The positive predictive value was extremely high (100%; 95% CI, 97.6-100%), whereas the negative predictive value was lower (82.6%; 95% CI, 75.7-88.2%), partially explained by the missing target species in the panel. Discussion: The BF-JIP showed high performances to detect pathogens involved in acute arthritis. |
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| Language | English |
| Publishing date | 2024-03-23 |
| Publishing country | England |
| Document type | Journal Article |
| ZDB-ID | 1328418-6 |
| ISSN | 1469-0691 ; 1470-9465 ; 1198-743X |
| ISSN (online) | 1469-0691 |
| ISSN | 1470-9465 ; 1198-743X |
| DOI | 10.1016/j.cmi.2024.03.022 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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