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Published on: February 27, 2018
Evaluation of the FilmArray™ Meningitis/Encephalitis panel with focus on bacteria and Cryptococcus spp
D Nestor1, S Thulin Hedberg2, M Lignell3
1Department of Laboratory Medicine, Clinical Microbiology, University Hospital, Örebro SE-701 85, Sweden.
The FilmArray™ Meningitis/Encephalitis (ME) panel shows promise for diagnosing central nervous system (CNS) infections, accurately detecting pathogens in clinical samples. However, its detection limits for key bacteria like Streptococcus pneumoniae and Neisseria meningitidis require improvement.
Area of Science:
- Microbiology
- Infectious Diseases
- Molecular Diagnostics
Background:
- Central nervous system (CNS) infections require rapid and accurate etiological diagnosis.
- Molecular methods offer advantages over traditional culture for detecting CNS pathogens.
- The FilmArray™ Meningitis/Encephalitis (ME) panel is a novel automated molecular diagnostic tool.
Purpose of the Study:
- To evaluate the bacterial detection performance of the automated FilmArray™ ME panel.
- To compare the FilmArray™ ME panel's performance against culture and in-house multiplex PCR.
- To assess the panel's accuracy in detecting various pathogens in cerebrospinal fluid (CSF).
Main Methods:
- Analysis of contrived, clinical, and external quality assessment (EQA) samples.
- Comparison of FilmArray™ ME panel results with culture and multiplexed in-house PCR.
- Evaluation of multiplexing capacity using samples with multiple targets.
Main Results:
- The FilmArray™ ME panel demonstrated comparable or superior performance to culture.
- It showed slightly higher limits of detection for certain bacteria (e.g., Streptococcus pneumoniae, Neisseria meningitidis) than in-house PCR.
- The panel correctly identified pathogens in all 17 clinical samples and detected three additional viruses.
Conclusions:
- The FilmArray™ ME panel is a promising addition to the diagnostic algorithm for CNS infections.
- Its performance in detecting pathogens in clinical samples is strong.
- Improvements in the limit of detection for key bacterial pathogens are recommended.
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