Evidence map›Paper›PMID 42388946›Full record

ArticleCureus2026

Diagnostic Performance of the FilmArray® Meningitis/Encephalitis Panel for the Detection of Central Nervous System Infections in a Tertiary Care University Hospital in Tangier, Morocco.

Nouhaila Chahid, Salma Lazraq, Reda Amrani Souhli, Majda El-Hassouni, Kawtar El Harrak, El Ghali Tazi, Fadila Bousgheiri, Adil Najdi, Karima Rissoul

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Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Nouhaila ChahidMicrobiology and Virology Laboratory, Mohammed VI University Hospital, Tangier, MAR.
Salma LazraqMicrobiology and Virology Laboratory, Mohammed VI University Hospital, Tangier, MAR.
Reda Amrani SouhliMicrobiology and Virology Laboratory, Mohammed VI University Hospital, Tangier, MAR.
Majda El-HassouniMicrobiology and Virology Laboratory, Mohammed VI University Hospital, Tangier, MAR.
Kawtar El HarrakMicrobiology and Virology Laboratory, Mohammed VI University Hospital, Tangier, MAR.
El Ghali TaziMicrobiology and Virology Laboratory, Mohammed VI University Hospital, Tangier, MAR.
Fadila BousgheiriEpidemiology Laboratory, Faculty of Medicine and Pharmacy of Tangier, Abdelmalek Essaadi University, Tangier, MAR.
Adil NajdiEpidemiology Laboratory, Faculty of Medicine and Pharmacy of Tangier, Abdelmalek Essaadi University, Tangier, MAR.
Karima RissoulMicrobiology and Virology Laboratory, Mohammed VI University Hospital, Tangier, MAR.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCentral nervous system (CNS) infections represent serious medical emergencies. The development of syndromic tests has improved clinical management. The FilmArray® Meningitis/Encephalitis (ME) panel (BioFire Diagnostics, Salt Lake City, Utah) is an automated multiplex polymerase chain reaction (PCR) assay capable of simultaneously detecting 14 CNS pathogens from small cerebrospinal fluid (CSF) volumes. This study aimed to assess the diagnostic performance of this panel compared with conventional microbiological methods.

methodsA retrospective diagnostic accuracy study was conducted in the microbiology laboratory of Mohammed VI University Hospital in Tangier, Morocco, between June 2023 and May 2025. Conventional methods included Gram staining, bacterial and fungal cultures, and cryptococcal antigen testing. The comparative analysis was limited to bacterial and fungal pathogens, using culture as the reference standard.

resultsAmong the 402 samples analyzed, at least one pathogen was detected in 60 cases (14.9%). Viral pathogens were the most common (51.7%), followed by bacterial pathogens (40.0%), whereas fungal detection was rare (1.7%). Four cases of bacterial-viral co-detection (6.7%) were observed. For the detection of bacterial and fungal pathogens included in the panel, the FilmArray® ME panel demonstrated a sensitivity of 100%, a specificity of 94.9%, a positive predictive value (PPV) of 31.0%, and a negative predictive value (NPV) of 100%. Agreement between the FilmArray® ME panel and conventional culture was moderate (κ = 0.455), with culture confirmation obtained in 9 of 29 FilmArray®-positive bacterial and fungal cases.

conclusionThe FilmArray® ME panel represents a valuable rapid adjunctive diagnostic tool for CNS infections. However, interpretation of its results should be integrated with clinical and conventional laboratory findings, particularly given its limited pathogen spectrum, including the absence of

Indexed as

central nervous system infectionscerebrospinal fluidcns infectionsdiagnostic performanceencephalitisfilmarray me panelmeningitismeningitis/encephalitis panelmolecular diagnosismultiplex pcr

Identifiers

PMID42388946
PMCPMC13322451

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.