» Articles » PMID: 39822283

Enhanced Pathogen Identification Among Patients with Clinically Suspected Meningitis

Overview
Date 2025 Jan 17
PMID 39822283
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Delayed or incorrect treatment of meningitis may result in adverse patient outcomes. However, laboratory testing in resource-limited settings is often limited to conventional diagnostic methods. We explored the utility of syndromic molecular assays for diagnosis.

Objectives: We tested cerebrospinal fluid (CSF) specimens collected from patients with clinically suspected meningitis submitted to a tertiary hospital laboratory in January 2021 - May 2021. Primary microbiological analysis (culture, Gram stain and cytochemical analysis) was performed as part of routine testing.

Method: Residual CSF specimens were tested using a bacterial triplex real-time polymerase chain reaction (PCR) assay and a syndromic multi-pathogen real-time PCR assay for the detection of up to 18 bacterial and viral pathogens. Pathogen detection was compared between conventional and molecular assays.

Results: A potential pathogen was detected in 6% (12/188) and 47% (89/188) of specimens on the triplex and the multi-pathogen assay, respectively. Epstein-Barr virus (49/188; 26%), human herpes virus 7 (22/188; 12%), herpes simplex virus 1 (13/188; 7%) and (10/188; 5%) were the leading pathogens detected on the syndromic multi-pathogen PCR. Further, using the multi-pathogen PCR assay, a potential pathogen was detected in 44% (73/166) of the specimens which were negative following routine testing. Overall, combining routine testing and molecular platforms significantly improved pathogen detection ( < 0.001); a potential pathogen was identified in 51% (95/188) of the specimens tested, compared to 12% (22/188) using routine methods alone.

Conclusion: The use of molecular tests improved pathogen detection by 39% when paired with routine methods.

Contribution: Multi-pathogen molecular testing is useful for rapidly diagnosing meningitis cases.

References
1.
Mwenda J, Soda E, Weldegebriel G, Katsande R, Biey J, Traore T . Pediatric Bacterial Meningitis Surveillance in the World Health Organization African Region Using the Invasive Bacterial Vaccine-Preventable Disease Surveillance Network, 2011-2016. Clin Infect Dis. 2019; 69(Suppl 2):S49-S57. PMC: 6736400. DOI: 10.1093/cid/ciz472. View

2.
. Global, regional, and national burden of meningitis and its aetiologies, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Neurol. 2023; 22(8):685-711. PMC: 10356620. DOI: 10.1016/S1474-4422(23)00195-3. View

3.
Kwambana-Adams B, Liu J, Okoi C, Mwenda J, Mohammed N, Tsolenyanu E . Etiology of Pediatric Meningitis in West Africa Using Molecular Methods in the Era of Conjugate Vaccines against Pneumococcus, Meningococcus, and Type b. Am J Trop Med Hyg. 2020; 103(2):696-703. PMC: 7410464. DOI: 10.4269/ajtmh.19-0566. View

4.
Tchatchouang C, Fri J, De Santi M, Brandi G, Schiavano G, Amagliani G . Listeriosis Outbreak in South Africa: A Comparative Analysis with Previously Reported Cases Worldwide. Microorganisms. 2020; 8(1). PMC: 7023107. DOI: 10.3390/microorganisms8010135. View

5.
Weinberg G, Schnabel K, Erdman D, Prill M, Iwane M, Shelley L . Field evaluation of TaqMan Array Card (TAC) for the simultaneous detection of multiple respiratory viruses in children with acute respiratory infection. J Clin Virol. 2013; 57(3):254-60. PMC: 7108303. DOI: 10.1016/j.jcv.2013.03.016. View