Abstract Background Meningitis, caused by viral and bacterial agents, is a significant public health issue globally, with a substantial economic impact. In Brazil, the incidence of meningitis varies by region, making the identification of the causative agent crucial for effective treatment. This study aims to evaluate the epidemiology of meningitis agents diagnosed using a rapid molecular detection panel in samples from various hospital units of a nationwide diagnostic and healthcare company. Methods Samples from several hospitals across different regions of Brazil were analyzed using the FilmArray® rapid molecular panel for meningitis and encephalitis, capable of identifying up to 14 agents, including bacteria, viruses, and fungi/yeasts. Gender, age group, regional distribution, and agent prevalence from January 2019 to April 2023, were retrieved from the database ensuring compliance with the Brazilian Data Privacy and Protection (LGPD) and local Research Ethics Committee guidelines. Results The study included 485 patients from 41 cities across 11 Brazilian states. The age range was 0 to 96 years, with an average age of 45 years, and a majority of female participants (59%). The highest number of test requests occurred in 2022 (17.5%), followed by 2021 (10%), with 2019, 2020, and 2023 accounting for less than 5% of requests each. The overall positivity rate was 10.5% (51/485), with 92.8% (13/14) of the possible agents identified. Viral agents were detected in 60.7% of positive cases, bacterial agents in 39.2%, and one mixed infection (human herpesvirus 6 and Escherichia coli K1) in a 2-year-old child. No fungal/yeast infections were detected. The most common agents were varicella-zoster virus (18.2%), Haemophilus influenzae (12.7%), herpes simplex viruses type 1 and 2 (12.7% each), and enterovirus (12.7%). Conclusions The study highlights the importance of rapid molecular diagnostic methods in Brazilian clinical-laboratory practice, offering fast, safe, and sensitive detection of meningitis-causing agents, which can contribute to improved patient outcomes.
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