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Diagnostic tools that can rapidly identify and characterize microbes growing in blood cultures are important components of clinical microbiology practice because they help to provide timely information that can be used to optimize patient management. This publication describes the bioMérieux BIOFIRE Blood Culture Identification 2 (BCID2) Panel clinical study that was submitted to the U.S.

As the incidence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) begins to overlap with the traditional respiratory season in the Northern Hemisphere, simultaneous testing for SARS-CoV-2 and the other common causes of respiratory infections is imperative. This has led to the development of multiplex respiratory assays that include SARS-CoV-2 as a target. One such assay is the BioFire respiratory panel 2.1 (RP2.1), which is an expansion of the original BioFire FilmArray respiratory panel 2 (RP2) to include SARS-CoV-2. In this multicenter evaluation, we assessed the performance characteristics of the BioFire RP2.1 for the detection of SARS-CoV-2. One or more targets on the panel were detected in 19.3% (101/524) of specimens tested, with SARS-CoV-2 detected in 12.6% (66/524) of specimens. Human rhinovirus/enterovirus was also detected in 32.7% (33/101) and adenovirus in 3.0% (3/101) of positive specimens, with one dual positive for both SARS-CoV-2 and adenovirus being detected. A further breakdown of pathogens by age revealed a 4-fold predominance of human rhinovirus/enterovirus in subjects 0 to 18 years of age, whereas in all other age groups, SARS-CoV-2 was clearly the predominant pathogen. Overall, SARS-CoV-2 results obtained from the BioFire RP2.1 were highly concordant with the composite result, exhibiting 98.4% (61/62) positive percent agreement (95% confidence interval [CI], 91.4 to 99.7%) and 98.9% (457/462) negative percent agreement (95% CI, 97.5 to 99.5%) with further analysis of discordant results suggesting that the concentration of SARS-CoV-2 in the specimens was near the limit of detection (LoD) for both the BioFire RP2.1 and the comparator assays. Overall, the BioFire RP2.1 exhibited excellent performance in the detection of SARS-CoV-2.

Background Bone and Joint Infections (BJIs) present with non-specific symptoms that may include pain, swelling, and fever and are associated with high morbidity and significant risk of mortality. BJIs can be caused by a variety of bacteria and fungi, including anaerobes and microorganisms that can be challenging to culture or identify by traditional microbiological methods. Clinicians primarily rely on culture to identify the pathogen(s) responsible for infection. The BioFire® Bone and Joint Infection (BJI) Panel (BioFire Diagnostics, Salt Lake City, UT) is designed to detect 15 gram-positive bacteria (including seven anaerobes), 14 gram-negative bacteria (including one anaerobe), two yeast, and eight antimicrobial resistance (AMR) genes from synovial fluid specimens in about an hour. The objective of this study was to evaluate the performance of an Investigational Use Only (IUO) version of the BioFire BJI Panel compared to various reference methods. Methods Remnant synovial fluid specimens, which were collected for routine clinical care at 13 study sites in the US and Europe, underwent testing using an IUO version of the BioFire BJI Panel. Performance of this test was determined by comparison to Standard of Care (SoC) consisting of bacterial culture performed at each study site according to their routine procedures. Results A total of 1544 synovial fluid specimens were collected and tested with the BioFire BJI Panel. The majority of specimens were from knee joints (77.9%) and arthrocentesis (79.4%) was the most common collection method. Compared to SoC culture, overall sensitivity was 90.2% and specificity was 99.8%. The BioFire BJI Panel yielded a total of 268 Detected results, whereas SoC yielded a total of 215 positive results for on-panel analytes. Conclusion The BioFire BJI Panel is a sensitive, specific, and robust test for rapid detection of a wide range of analytes in synovial fluid specimens. The number of microorganisms and resistance genes included in the BioFire BJI Panel, together with a reduced time-to-result and increased diagnostic yield compared to culture, is expected to aid in the timely diagnosis and appropriate management of BJIs. Disclosures Benjamin von Bredow, PhD, BioFire (Grant/Research Support) Jennifer Dien Bard, PhD, BioFire Diagnostic (Consultant, Scientific Research Study Investigator) Bart Kensinger, PhD, BioFire Diagnostics (Employee) Benedicte Pons, PhD, bioMerieux SA (Employee) Corinne Jay, PhD, bioMerieux SA (Employee)