Impact of the BioFire FilmArray Meningitis-Encephalitis Panel on Management of Suspected Paediatric Central Nervous

Louisa Mary Churcher1,2, Adam William Bartlett3,4, Stella Pendle5

  • 1Department of Paediatrics, Northern Beaches Hospital, Sydney, New South Wales, Australia.

Abstract

Insights

The BioFire FilmArray meningitis/encephalitis (ME) panel significantly speeds up diagnosis and antimicrobial adjustment in children with suspected meningoencephalitis. This molecular diagnostic tool improves pathogen identification and reduces time to treatment, enhancing patient care.

Area of Science:

  • Pediatric Infectious Diseases
  • Molecular Diagnostics
  • Clinical Microbiology

Background:

  • Meningoencephalitis poses a significant global health burden in children, characterized by challenging diagnostics.
  • Advances in molecular diagnostics offer improved accuracy and speed for identifying central nervous system infections.
  • This study investigates the impact of a novel multiplex panel on diagnosing pediatric meningoencephalitis.

Purpose of the Study:

  • To evaluate the effect of introducing the BioFire FilmArray meningitis/encephalitis (ME) multiplex panel on the diagnosis and management of pediatric meningoencephalitis.
  • To assess changes in diagnostic timelines, antimicrobial use, and healthcare resource utilization following panel implementation.

Main Methods:

  • A retrospective cohort study was conducted from January 2019 to July 2021, including children under 16 with cerebrospinal fluid sampling for suspected meningoencephalitis.
  • Data on demographics, clinical presentation, and microbiological results were collected before and after the BioFire ME panel's introduction.
  • Key outcome measures included time to infection diagnosis, pathogen identification, antimicrobial rationalization, and length of hospital stay.

Main Results:

  • The BioFire ME panel was used in 28 of 122 cases, significantly reducing the time to confirm or exclude bacterial and viral meningoencephalitis (12.6 vs. 48.0/71.5 hours).
  • Quicker pathogen identification in viral cases (8.1 vs. 48.7 hours) and earlier antimicrobial rationalization (24.0 vs. 30.4 hours) were observed with panel use.
  • However, total antimicrobial duration, number of investigations, and hospitalisation length did not show significant reductions.

Conclusions:

  • The BioFire ME panel demonstrates potential in accelerating the diagnosis of pediatric meningoencephalitis, enabling faster antimicrobial adjustments.
  • Early identification of pathogens can lead to reduced use of broad-spectrum antimicrobials, mitigating associated adverse effects.
  • Implementation of this molecular diagnostic tool may improve healthcare resource efficiency in managing pediatric CNS infections.

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