Evidence map›Paper›PMID 42247356›Full record

ArticlePloS one2026

Clinical performance of the BioFire Blood Culture Identification 2 panel for microorganism species identification and resistance gene detection in blood culture-positive specimens.

Haruki Naruse, Noriyuki Watanabe, Sachie Koyama, Sachi Tanaka, Yoshitada Taji, Yasuhiro Ebihara

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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.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Haruki NaruseClinical Laboratory, Saitama Medical University International Medical Center, Saitama, Japan.
Noriyuki WatanabeClinical Laboratory, Saitama Medical University International Medical Center, Saitama, Japan.
Sachie KoyamaClinical Laboratory, Saitama Medical University International Medical Center, Saitama, Japan.
Sachi TanakaClinical Laboratory, Saitama Medical University International Medical Center, Saitama, Japan.
Yoshitada TajiClinical Laboratory, Saitama Medical University International Medical Center, Saitama, Japan.
Yasuhiro EbiharaClinical Laboratory, Saitama Medical University International Medical Center, Saitama, Japan.ORCID https://orcid.org/0000-0002-9883-6986

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBloodstream infections are life-threatening, and the rapid identification of pathogens and resistance genes is essential for the administration of appropriate antimicrobial agents. The BioFire Blood Culture Identification 2 (BCID2) panel on the FilmArray multi-parameter genetic analyzer is a fully automated PCR test that rapidly identifies species and resistance genes. Here, we compared the performance of the Filmarray BCID2 panel (BCID2 method) with the conventional method.

methodsAmong the blood culture-positive specimens submitted between January 2023 and November 2024, this study analyzed 201 specimens that contained the target microorganisms of the BCID2 panel. In our laboratory, after subculturing the culture medium obtained from a positive blood-culture bottle, we perform species identification using mass spectrometry and drug susceptibility testing (the conventional method). We compared the results of the BCID2 method with those of the conventional method.

resultsConcordance between the BCID2 and conventional methods was found in 152 of the 161 monomicrobial specimens (94.4%) and in 31 of the 40 polymicrobial specimens (77.5%). The 18 specimens that were discordant were mostly matched at the genus level, but the BCID2 method also detected other microorganisms that were not identified by the conventional method. Resistance genes were identified in 57 of the 61 matched specimens (93.4%).

conclusionThe BCID2 method exhibits excellent identification results and resistance gene detection rates, suggesting that it is a reliable and rapid diagnostic test system for bloodstream infections.

Indexed as

BacteremiaBacteriaBlood CultureDrug Resistance, BacterialAnti-Bacterial AgentsHumansMicrobial Sensitivity TestsPolymerase Chain ReactionAnti-Bacterial Agents

Identifiers

PMID42247356
PMCPMC13240866

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