Film Array Blood Culture Identification

2021 ◽  
Vol 51 (9) ◽  
pp. 70-70
Keyword(s):  
Blood Culture ◽  
Culture Identification

Diagnostic accuracy of the BioFire FilmArray blood culture identification panel when used in critically ill patients with sepsis

2021 ◽  
Vol 189 ◽  
pp. 106303
Author(s):  
Roxanne Rule ◽  
Fathima Paruk ◽  
Piet Becker ◽  
Matthew Neuhoff ◽  
Julian Chausse ◽  
...  
Keyword(s):  
Blood Culture ◽  
Diagnostic Accuracy ◽  
Critically Ill ◽  
Critically Ill Patients ◽  
Culture Identification

scholarly journals Evaluation of the BioFire® FilmArray® Blood Culture Identification Panel on positive blood cultures in a regional hospital laboratory in KwaZulu-Natal

2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Mokshanand Fhooblall ◽  
Fikile Nkwanyana ◽  
Koleka P. Mlisana
Keyword(s):  
Blood Culture ◽  
Antimicrobial Susceptibility ◽  
Reference Method ◽  
Blood Cultures ◽  
Combination Methods ◽  
Single Organism ◽  
Hospitalised Patients ◽  
Short Run ◽  
Culture Identification ◽  
Study Laboratory

Background: There are presently many non-culture-based methods commercially available to identify organisms and antimicrobial susceptibility from blood culture bottles. Each platform has its benefits and limitations. However, there is a need for an improved system with minimal hands-on requirements and short run times.Objectives: In this study, the performance characteristics of the FilmArray® BCID Panel kit were evaluated to assess the efficiency of the kit against an existing system used for identification and antimicrobial susceptibility of organisms from blood cultures.Methods: Positive blood cultures that had initially been received from hospitalised patients of a large quaternary referral hospital in Durban, South Africa were processed as per routine protocol at its Medical Microbiology Laboratory. Positive blood cultures were processed on the FilmArray BCID Panel kit in parallel with the routine sample processing. Inferences were then drawn from results obtained.Results: Organism detection by the FilmArray BCID panel was accurate at 92.6% when organisms that were on the repertoire of the kit were considered, compared to the combination methods (reference method used in the study laboratory). Detection of the antimicrobial resistance markers provided by the panel and reference method demonstrated 100% consistency. Blood cultures with a single organism were accurately identified at 93.8% by FilmArray, while blood cultures with more than one organism were identified at 85.7%.Conclusion: The FilmArray BCID Panel kit is valuable for detection of organisms and markers of antibiotic resistance for an extensive range of organisms.

Rapid Identification of Microorganisms by FilmArray Blood Culture Identification Panel Improves Clinical Management in Children

2016 ◽  
Vol 35 (5) ◽  
pp. e134-e138 ◽  
Author(s):  
Stephen T. J. Ray ◽  
Richard J. Drew ◽  
Fiona Hardiman ◽  
Barry Pizer ◽  
Andrew Riordan
Keyword(s):  
Blood Culture ◽  
Clinical Management ◽  
Rapid Identification ◽  
Culture Identification

scholarly journals Detection of Neisseria meningitidis from Negative Blood Cultures and Cerebrospinal Fluid with the FilmArray Blood Culture Identification Panel

2014 ◽  
Vol 52 (6) ◽  
pp. 2262-2264 ◽  
Author(s):  
J. Pardo ◽  
K. P. Klinker ◽  
S. J. Borgert ◽  
B. M. Butler ◽  
K. H. Rand ◽  
...  
Keyword(s):  
Cerebrospinal Fluid ◽  
Blood Culture ◽  
Neisseria Meningitidis ◽  
Blood Cultures ◽  
Culture Identification

scholarly journals Antimicrobial Stewardship Opportunities in Patients with Bacteremia Not Identified by BioFire FilmArray

2019 ◽  
Vol 57 (5) ◽  
Author(s):  
P. Ny ◽  
A. Ozaki ◽  
J. Pallares ◽  
P. Nieberg ◽  
A. Wong-Beringer
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Blood Culture ◽  
Intensive Care Unit Admission ◽  
Clinical Characteristics ◽  
Length Of Hospital Stay ◽  
Blood Cultures ◽  
Rapid Diagnostics ◽  
Admission Data ◽  
Culture Identification

ABSTRACTA subset of bacteremia cases are caused by organisms not detected by a rapid-diagnostics platform, BioFire blood culture identification (BCID), with unknown clinical characteristics and outcomes. Patients with ≥1 positive blood culture over a 15-month period were grouped by negative (NB-PC) versus positive (PB-PC) BioFire BCID results and compared with respect to demographics, infection characteristics, antibiotic therapy, and outcomes (length of hospital stay [LOS] and in-hospital mortality). Six percent of 1,044 positive blood cultures were NB-PC. The overall mean age was 65 ± 22 years, 54% of the patients were male, and most were admitted from home; fewer NB-PC had diabetes (19% versus 31%,P= 0.0469), although the intensive care unit admission data were similar. Anaerobes were identified in 57% of the bacteremia cases from the NB-PC group by conventional methods:Bacteroidesspp. (30%),Clostridium(11%), andFusobacteriumspp. (8%). Final identification of the NB-PC pathogen was delayed by 2 days (P< 0.01) versus the PB-PC group. The sources of bacteremia were more frequently unknown for the NB-PC group (32% versus 11%,P< 0.01) and of pelvic origin (5% versus 0.1%,P< 0.01) compared to urine (31% versus 9%,P< 0.01) for the PB-PC patients. Fewer NB-PC patients received effective treatment before (68% versus 84%,P= 0.017) and after BCID results (82% versus 96%,P= 0.0048). The median LOS was similar (7 days), but more NB-PC patients died from infection (26% versus 8%,P< 0.01). Our findings affirm the need for the inclusion of anaerobes in BioFire BCID or other rapid diagnostic platforms to facilitate the prompt initiation of effective therapy for bacteremia.

Comparison between MALDI-TOF MS and FilmArray Blood Culture Identification panel for rapid identification of yeast from positive blood culture

2014 ◽  
Vol 104 ◽  
pp. 92-93 ◽  
Author(s):  
M. Paolucci ◽  
C. Foschi ◽  
M.V. Tamburini ◽  
S. Ambretti ◽  
T. Lazzarotto ◽  
...  
Keyword(s):  
Blood Culture ◽  
Positive Blood Culture ◽  
Rapid Identification ◽  
Maldi Tof Ms ◽  
Maldi Tof ◽  
Culture Identification ◽  
Tof Ms
Sign in / Sign up

Export Citation Format

Share Document