Evaluation of the Performance of Filmarray Blood Culture Identification Panel on Detecting Blood Cultures Containing Activated Carbon Powder
chen, c.; Wang, C.; He, S.
Show abstract
ObjectiveThe FilmArray Blood Culture Identification (BCID) panel is a rapid microfluidic PCR amplification microbial detection system. Several studies have evaluated its clinical performance on the basis of blood culture bottles containing resins. However, proportion of hospitals in China use bottles with carbon power, which the performance of FilmArray has not been fully investigated. Therefore, this study is conducted to explore the accuracy of the panel using blood culture bottles with carbon power. Method147 venous blood cultures containing carbon powder were used to assess the microbial and antibiotic resistance detection ability of the FilmArray panel. Outcomes were compared with results of the clinical combination method and their consistency was analyzed. ResultsFilmArray detected single microorganism in 121 samples, multiple microorganism in 9 cases and the consistency rate between the two methods was 90.6%. Among the 150 microorganisms detected, 85.1% (40/47) of staphylococcus contained the antibiotic resistant mecA gene, 15.3% (9/59) of Enterobacter detected the KPC gene, 7.7% (1/13) of Enterococcus has the vanA gene and the consistency with their clinical drug-resistant phenotypes were 93.6%, 86.4% and 100%, respectively. ConclusionThe identification rate of the FilmArray BCID panel using venous blood cultures with activated carbon powder was highly consistent with the outcomes of previous researchers using non-carbon powder blood culture bottles. It is capable of providing rapid and reliable results in the detection of pathogens present in automated blood culture systems.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Detection and phenotypic characterization of carbapenem non susceptible gram-negative bacilli isolated from clinical specimens 96%
- Molecular Characterization of invasive Enterobacteriaceae from Pediatric Patients in Central and Northwestern Nigeria 96%
- Multi-drug resistance bacteria predict mortality in blood stream infection in a tertiary setting in Tanzania 96%
Similar papers in this journal
- SARS-CoV-2 screening in patients in need of urgent inpatient treatment in the Emergency Department (ED) by digitally integrated point-of-care PCR: A clinical cohort study 93%
- Effect of Antimicrobial Stewardship with Rapid MALDI-TOF Identification and Vitek 2 Antimicrobial Susceptibility Testing on Hospitalization Outcome 93%
- A highly multiplexed melt-curve assay for detecting the most prevalent carbapenemase, ESBL and AmpC genes 93%
Similar papers in this journal
- Evaluation of flow cytometry for cell count and detection of bacteria in biological fluids. 97%
- Molecular basis and evolutionary cost of a novel phenotype of macrolides/lincosamides resistance in Staphylococcus haemolyticus 95%
- RT-LAMP-CRISPR-Cas13a technology as a promising diagnostic tool for the SARS-CoV-2 virus 94%
Similar papers in this journal
- Analytical performances of the COVISTIX™ and Panbio™ antigen rapid tests for SARS-CoV-2 detection in an unselected population (all commers) 93%
- Detection of antimicrobial resistance, pathogenicity, and virulence potentials of non-typhoidal Salmonella isolates at the Yaounde abattoir using whole genome sequencing technique 93%
- What does 16S rRNA gene-targeted next generation sequencing contribute to the study of infective endocarditis in valve tissue? 92%
Similar papers in this journal
- Low-Cost In-House Re-formulated Brain Heart Infusion Medium for Effective Planktonic Growth and Early Detection of Bloodstream Bacterial Pathogens 96%
- Correlation of pathogenic factors with antimicrobial resistance of clinical Proteus mirabilis strains 94%
- Restriction of the growth and biofilm formation of ESKAPE pathogens by caprine gut-derived probiotic bacteria 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.