Application of Biofire Filmarray Joint Infection Panel for Rapid Identification of Aetiology in a Necrotizing Fasciitis Case

<b>Background</b>: Monomicrobial <i>Enterobacterales</i> necrotizing fasciitis is associated with exceedingly high mortality rates. Although effective antimicrobial therapy is an important part of treatment, the traditional microbiological diagnostic methods are not fast enough to meaningfully influence early therapeutic decisions. <b>Methods</b>: Here, we report the application of the BioMérieux Biofire Filmarray Joint Infection Panel (BFJIP) for the rapid detection of the causative agent and susceptibility prediction in such a case. Aside from the BFJIP-based rapid diagnostic approach and culturing, the whole genome sequencing (WGS) of the causative agent was performed using Illumina MiSeq and Oxford Nanopore MinION platforms. <b>Results</b>: The BFJIP indicated the presence of <i>K. pneumoniae</i>, without KPC, VIM, IMP, NDM, OXA-48 carbapenemase genes, and CTX-M-type extended-spectrum beta-lactamases. Based on the WGS data, the isolate belonged to the K1-capsule-type ST23, harboured a pNTUH-2044-like plasmid, and was positive for all the virulence factors associated with this lineage. The conventional susceptibility results were also in accordance with the BFJIP results; the isolate lacked any of these acquired resistance mechanisms. <b>Conclusions</b>: Despite this being the first case of the successful identification of pathogenic bacteria in necrotising fasciitis using this assay, the BFJIP may become a useful tool for rapid identification of pathogens in necrotising fasciitis cases and guiding antimicrobial therapy for better clinical outcomes.

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Publication Details

Journal
Diagnostics
Published
2024-12-29
DOI
https://doi.org/10.3390/diagnostics15010058
Citations
1
Primary Topic
Streptococcal Infections and Treatments
Type
article
Field-Weighted Citation Impact
0.54
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article

Application of Biofire Filmarray Joint Infection Panel for Rapid Identification of Aetiology in a Necrotizing Fasciitis Case

Bence Balázs, Walter P. Pfliegler, Eszter Csoma, Renátó Kovács et al.
1 citations
Diagnostics
Streptococcal Infections and Treatments
0.54
article

Application of Biofire Filmarray Joint Infection Panel for Rapid Identification of Aetiology in a Necrotizing Fasciitis Case

Bence Balázs, Walter P. Pfliegler, Eszter Csoma, Renátó Kovács, Zoltán Tóth, László Majoros, Dorka Szűcs
article en
1 citations

Abstract

<b>Background</b>: Monomicrobial <i>Enterobacterales</i> necrotizing fasciitis is associated with exceedingly high mortality rates. Although effective antimicrobial therapy is an important part of treatment, the traditional microbiological diagnostic methods are not fast enough to meaningfully influence early therapeutic decisions. <b>Methods</b>: Here, we report the application of the BioMérieux Biofire Filmarray Joint Infection Panel (BFJIP) for the rapid detection of the causative agent and susceptibility prediction in such a case. Aside from the BFJIP-based rapid diagnostic approach and culturing, the whole genome sequencing (WGS) of the causative agent was performed using Illumina MiSeq and Oxford Nanopore MinION platforms. <b>Results</b>: The BFJIP indicated the presence of <i>K. pneumoniae</i>, without KPC, VIM, IMP, NDM, OXA-48 carbapenemase genes, and CTX-M-type extended-spectrum beta-lactamases. Based on the WGS data, the isolate belonged to the K1-capsule-type ST23, harboured a pNTUH-2044-like plasmid, and was positive for all the virulence factors associated with this lineage. The conventional susceptibility results were also in accordance with the BFJIP results; the isolate lacked any of these acquired resistance mechanisms. <b>Conclusions</b>: Despite this being the first case of the successful identification of pathogenic bacteria in necrotising fasciitis using this assay, the BFJIP may become a useful tool for rapid identification of pathogens in necrotising fasciitis cases and guiding antimicrobial therapy for better clinical outcomes.

DiagnosticsVol. 15(1)
University of Debrecen (HU)
Good health and well-being
Openalex Percentile: Top 25%
Streptococcal Infections and Treatments
0.54
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