Diagnostic test accuracy of the BioFire® FilmArray® meningitis/encephalitis panel: a systematic review and

G S Tansarli1, K C Chapin1

  • 1Department of Pathology, Rhode Island Hospital, Providence, RI, USA; The Warren Alpert Medical School of Brown University, Providence, RI, USA.

Abstract

Insights

The FilmArray® meningitis/encephalitis (ME) panel shows high diagnostic accuracy for central nervous system infections. While generally reliable, careful consideration of specific patient populations and laboratory capabilities is advised for optimal implementation.

Area of Science:

  • Clinical diagnostics
  • Infectious disease microbiology
  • Molecular diagnostics

Background:

  • The FilmArray® meningitis/encephalitis (ME) panel is a multiplex PCR assay for detecting central nervous system pathogens.
  • It offers rapid diagnosis of ME, leading to positive clinical outcomes.
  • Concerns regarding false positive and false negative results impact its widespread adoption.

Purpose of the Study:

  • To evaluate the diagnostic test accuracy of the ME panel.
  • To assess the sensitivity and specificity of the ME panel for diagnosing meningitis/encephalitis.
  • To analyze false positive and false negative results associated with the ME panel.

Main Methods:

  • Systematic literature search of PubMed and EMBASE databases up to May 2019.
  • Inclusion of studies reporting sensitivity and specificity data for the ME panel against a reference standard.
  • Meta-analysis to calculate summary sensitivity and specificity, with separate assessment of discordant results.

Main Results:

  • Thirteen studies (3764 patients) were reviewed; 8 studies (3059 patients) were meta-analyzed.
  • Summary sensitivity was 90% (95% CI 86-93%) and specificity was 97% (95% CI 94-99%).
  • Post-adjudication, false positive rates were 4% (highest for S. pneumoniae, S. agalactiae) and false negative rates were 1.5% (highest for HSV 1/2, enterovirus, C. neoformans/gattii).

Conclusions:

  • The ME panel demonstrates high diagnostic accuracy based on current literature.
  • Implementation decisions should be individualized, considering patient population needs, laboratory capacity, and healthcare provider expertise.
  • Further investigation of discordant results is crucial for refining test interpretation.

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