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Literature review reveals syndromic testing improves pathogen detection and hospital outcomes in neurology, suggesting enhanced diagnosis.
Background: Syndromic testing panels, such as the BioFire FilmArray® Meningitis/Encephalitis (M/E) panel, have become essential in altering the way that central nervous system diseases are diagnosed in the rapidly changing fields of molecular diagnostics, infectious diseases, and neurology. Long turnaround times, minimal pathogen output, and the requirement for live organisms are some of the common limitations of traditional cerebrospinal fluid culture techniques. A potential addition to traditional diagnostics is the FilmArray® M/E panel, which uses multiplex polymerase chain reactions to identify many diseases quickly and simultaneously in a very short time, which affects multiple outcomes for the patient. Aims: Despite the M/E panel’s considerable speed and detection benefits, there are some issues related to cost, erroneous findings, and contextual interpretation. Material and Methods: This narrative review highlights fundamental research and meta-analyses that have studied the FilmArray® M/E panel’s practical performance while comparing its diagnostic accuracy, clinical impact, and cost-effectiveness with the CSF culture. The latter occurs across different demographics and contexts. Results: Different studies have demonstrated that the M/E panel significantly shortens hospital stays, decreases unnecessary antibiotic usage, and speeds up the diagnosis of meningitis or encephalitis. Nonetheless, the necessity for cautious diagnostic management and supplementary testing strategies is underlined as there exist variations in sensitivity and specificity across pathogens, especially in viral ones. By facilitating quick, focused, and data-driven treatment for patients, the BioFire FilmArray® M/E panel provides an advancement in meningitis and encephalitis diagnostics, which is consistent with the concept of precision medicine. Conclusion: To adequately guarantee fair and efficient results, its best application into clinical practice requires integration with clinical judgment, conventional culture techniques, and economic optimization strategies.
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Toutounji et al. (2026) studied this question.
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