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A Protein Microarray Assay for Serological Determination of Antigen-specific Antibody Responses Following Clostridium difficile Infection
Published on: June 15, 2018
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Multicenter evaluation of the FilmArray Meningitis/Encephalitis assay in a routine setting
Karel Maelegheer1, Marijke Reynders2, Katelijne Floré2
1Laboratory Medicine, Medical Microbiology, AZ Sint Lucas, Sint Lucaslaan 29, B-8310 Brugge, Belgium.
Journal of Medical Microbiology
|October 19, 2021
Summary
The FilmArray Meningitis/Encephalitis (FA-ME) Panel rapidly detects 14 pathogens in cerebrospinal fluid (CSF). This study confirmed its high sensitivity and specificity in routine use, aiding meningitis diagnosis.
Area of Science:
- Clinical microbiology
- Infectious disease diagnostics
- Molecular diagnostics
Background:
- The FilmArray Meningitis/Encephalitis (FA-ME) Panel offers rapid, automated detection of 14 pathogens in cerebrospinal fluid (CSF).
- Its real-world performance in routine clinical settings and impact on patient management remain underexplored.
Purpose of the Study:
- To verify the analytical performance of the FA-ME Panel in a routine hospital environment.
- To assess the diagnostic accuracy and clinical utility of the FA-ME Panel for meningitis and encephalitis.
Main Methods:
- A multicenter study analyzed 454 CSF samples using the FA-ME Panel and compared results with routine diagnostics.
- Discrepancies were resolved through in-depth analysis of patient records and additional laboratory data.
Main Results:
- The FA-ME Panel demonstrated high overall sensitivity (98%) and specificity (>99%) compared to routine methods.
- The assay identified 114 positive cases (25%), including eight bacterial meningitis diagnoses, and detected three co-infections.
- Analytical limitations were noted for specific pathogens, requiring further investigation.
Conclusions:
- The FA-ME Panel is a rapid and user-friendly tool with significant potential for diagnosing central nervous system infections.
- Implementation can enhance clinical management, but cost-effectiveness and analytical performance need careful consideration for widespread adoption.

