Abstract
Background: Ethiopia faces a substantial public health burden as a prominent country in the African meningitis belt, characterized by recurrent, large-scale outbreaks. While Neisseria meningitidis serogroup A was historically the primary cause of these epidemics, data from the last two decades indicate a shift toward serogroups C, W, and X. Current patient management in the country relies heavily on clinical presentation. This strategy is prone to misdiagnosis, leading to inappropriate treatments and high mortality rates. Additionally, while bacterial causes are often prioritized, the contribution of viral meningitis remains largely unaddressed and under-researched.
Objectives and Methods - The objective of this project is to improve patient management by enhancing diagnostics through developing resources and time-saving molecular diagnostic tools that are based on a relatively easy-to-collect blood sample. Furthermore, the project seeks to establish a robust diagnostic algorithm to distinguish aseptic from bacterial meningitis. Also, we are utilizing advanced technologies such as metagenomics, metatranscriptomics, and proteomics to uncover previously unaddressed pathogens, detect antimicrobial resistance genes, and identify new biomarkers for differential diagnosis.
Results - the findings reveal a stark contrast between traditional and modern diagnostic methods, as conventional CSF culture showed a low positivity rate of 6% compared to the 42% bacterial and 23% viral detection rates achieved through molecular mPCR. A subset analysis of sample types indicated that serum PCR demonstrated superior efficiency compared to CSF PCR. Another significant finding was the predominance of Gram-negative rod bacteria, specifically E. coli and K. pneumoniae, which were detected more frequently than traditional pathogens like S. pneumoniae. Enterovirus emerged as the leading viral cause of meningitis and TB meningitis in 5.5% of the tested subset.
Conclusion - the considerable discrepancy between traditional culture and molecular findings emphasizes the limitations of current diagnostic practices in Ethiopia. It highlights a significant, previously unaddressed burden of viral and Mycobacterial pathogens. The high prevalence of Gram-negative rods suggests a potential shift in the epidemiology of pathogens that provides critical data for updating empirical treatment guidelines. Ultimately, transitioning to enhanced molecular diagnostic systems is essential for reducing the high mortality and neurological sequelae associated with meningitis.