Evidence map›Paper›PMID 42721154›Full record

ArticlePloS one2026

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

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

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Massinissa BenyahiaDepartment of Microbiology and Hospital Hygiene, Nîmes University Hospital, Nîmes, France.
Claire RogerDivision of Anesthesia and Critical Care, UR-UM103 IMAGINE, University of Montpellier, Pain and Emergency Medicine, Nîmes University Hospital, Nîmes, France.
Adeline Boutet-DuboisDepartment of Microbiology and Hospital Hygiene, Nîmes University Hospital, Nîmes, France.
Florian SalipanteDepartment of Biostatistics, Epidemiology, Public Health, and Innovation in Methodology (BESPIM), Nîmes University Hospital, Nîmes, France.
Louis OudianeDivision of Anesthesia and Critical Care, UR-UM103 IMAGINE, University of Montpellier, Pain and Emergency Medicine, Nîmes University Hospital, Nîmes, France.
Matthieu Curtil Dit GalinDepartment of Microbiology and Hospital Hygiene, Nîmes University Hospital, Nîmes, France.
Rim NsiriDepartment of Microbiology and Hospital Hygiene, Nîmes University Hospital, Nîmes, France.
Léo BrochonDepartment of Microbiology and Hospital Hygiene, Nîmes University Hospital, Nîmes, France.
Jean-Philippe LavigneDepartment of Microbiology and Hospital Hygiene, Nîmes University Hospital, Nîmes, France.
Alix PantelDepartment of Microbiology and Hospital Hygiene, Nîmes University Hospital, Nîmes, France.ORCID https://orcid.org/0000-0002-2317-4199

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

BacteremiaCritical CareGram-Negative BacteriaGram-Negative Bacterial InfectionsSepsisFemaleHumansIntensive Care UnitsMaleMicrobial Sensitivity TestsProspective Studies

Identifiers

PMID42721154
PMCPMC13561357

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.