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J Med Microbiol. 2015 Dec;64(12):1481-8. doi: 10.1099/jmm.0.000180. Epub 2015 Oct 1.

Efficacy of the FilmArray blood culture identification panel for direct molecular diagnosis of infectious diseases from samples other than blood.

Author information

1
1​Servei de Microbiologia. Hospital de la Santa Creu i Sant Pau Barcelona, Spain.
2
3​Spanish Network for the Research in Infectious Diseases (REIPI RD12/0015), Instituto de Salud Carlos III, Madrid, Spain 1​Servei de Microbiologia. Hospital de la Santa Creu i Sant Pau Barcelona, Spain 2​Institut d'Investigació Biomèdica Sant Pau, Barcelona, Spain and Universitat Autònoma de Barcelona, Barcelona, Spain.
3
1​Servei de Microbiologia. Hospital de la Santa Creu i Sant Pau Barcelona, Spain 2​Institut d'Investigació Biomèdica Sant Pau, Barcelona, Spain and Universitat Autònoma de Barcelona, Barcelona, Spain 3​Spanish Network for the Research in Infectious Diseases (REIPI RD12/0015), Instituto de Salud Carlos III, Madrid, Spain.

Abstract

Molecular-based techniques reduce the delay in diagnosing infectious diseases and therefore contribute to better patient outcomes. We assessed the FilmArray blood culture identification (BCID) panel (Biofire Diagnostics/bioMérieux) directly on clinical specimens other than blood: cerebrospinal, joint, pleural and ascitic fluids, bronchoscopy samples and abscesses. We compared the results from 88 samples obtained by culture-based techniques. The percentage of agreement between the two methods was 75 % with a Cohen κ value of 0.51. Global sensitivity and specificity using the FilmArray BCID panel were 71 and 97 %, respectively. Sensitivity was poorer in samples with a low bacterial load, such as ascitic and pleural fluids (25 %), whereas the sensitivity for abscess samples was high (89 %). These findings suggest that the FilmArray BCID panel could be useful to perform microbiological diagnosis directly from samples other than positive blood cultures, as it offers acceptable sensitivity and moderate agreement with conventional microbiological methods. Nevertheless, cost-benefit studies should be performed before introducing this method into algorithms for microbiological diagnostics.

PMID:
26432445
DOI:
10.1099/jmm.0.000180
[Indexed for MEDLINE]

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