Real-life evaluation of BioFire® BCID2 and Vitek® REVEALTM for Gram-negative bloodstream infections in critical care.

Authors

Massinissa Benyahia, Claire Roger, Adeline Boutet-Dubois, Florian Salipante, Louis Oudiane, Matthieu Curtil Dit Galin, Rim Nsiri, Léo Brochon, Jean-Philippe Lavigne, Alix Pantel

Published in

PloS one. Volume 21. Issue 9. Pages e0356199. Epub Sep 10, 2026.

Abstract

Timely management of sepsis relies on rapid diagnosis of bloodstream infections (BSIs), including early pathogen identification and antimicrobial susceptibility testing (AST). The Vitek® REVEALTM is an innovative rapid AST platform that detects volatile organic compounds emitted by Gram-negative bacilli (GNB) directly from positive blood cultures. This study assessed the analytical performance and clinical contribution of the BioFire® BCID2 molecular panel and the Vitek® REVEALTM system in the diagnosis of GNB-BSI among intensive care unit (ICU) patients. We analyzed the prospective phase of the BacteREVEAL study, conducted between March and October 2023 at Nîmes University Hospital. Results from BioFire® BCID2 and Vitek® REVEALTM were compared to standard-of-care methods, including MALDI-TOF identification and direct disk diffusion AST. Performance metrics for Vitek® REVEALTM were evaluated according to ISO 20776-2:2007 standards. Among 94 ICU patients with a first episode of GNB-BSI, 50 monomicrobial cases were included. Escherichia coli was the most frequently identified species (n = 30, 60%), followed by Pseudomonas aeruginosa (n = 7, 14%). BioFire® BCID2 provided accurate identification for all isolates. The innovative tools reduced median turnaround times for identification by 19.0 h and for AST by 14.9 h. The mean time to result for Vitek® REVEALTM was 5.7 h. Overall categorical agreement with standard AST was 97.7%, with 8 very major errors, 8 major errors, and 2 minor errors. These findings support the integration of BioFire® BCID2 and Vitek® REVEALTM into routine workflows to accelerate GNB-BSI diagnosis and improve sepsis management.

PMID:
42721154
Bibliographic data and abstract were imported from PubMed on 11 Sep 2026.

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