ArticleInfection and drug resistance2024
Use of Metagenomic Next-Generation Sequencing to Identify Pathogens Involved in Central Nervous System Infections.
Article in Infection and drug resistance, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The complexity of invasive fungal diseases in the intensive care unit: evaluation of metagenomic next-generation sequencing.Frontiers in cellular and infection microbiology · 2026Article
- Diagnostic value of metagenomic next-generation sequencing combined by medical thoracoscopy surgery among infectious pleural effusion patients.BMC infectious diseases · 2025Article
- Clinical application of metagenomic next-generation sequencing in the diagnosis of severe pneumonia pathogens.Frontiers in cellular and infection microbiology · 2025Article
- Delayed psychiatric sequelae following multifocal central nervous system lesions in leptospirosis: A case report.IDCases · 2025Article
- Creating a Foundation for the Visualization of Intracranial Cerebrospinal Fluid Using Photon-Counting Technology in Spectral Imaging for Cranial CT.Diagnostics (Basel, Switzerland) · 2024Article
- Novel Use of Metagenomic Next-Generation Sequencing in DiagnosingInfection and drug resistance · 2024Article
- Gram-Negative Bloodstream Infections in a Medical Intensive Care Unit: Epidemiology, Antibiotic Susceptibilities, and Risk Factors for in-Hospital Death.Infection and drug resistance · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Application of metagenomic next-generation sequencing (mNGS) in identifying nosocomial central nervous system (CNS) infections in critical care units remains understudied. Methods: We conducted a retrospective analysis of microbiological results through both mNGS and routine examination of cerebrospinal fluid (CSF) samples from patients with nosocomial CNS infections. The aim of this study was to assess the clinical diagnostic effect of nosocomial mNGS in this population. Results: The study included 26 cases of nosocomial CNS infections in total. A total of 69.2% (18/26) of the samples tested positive for mNGS, which is substantially greater than the 7.7% (2/26; Conclusion: Routine microbiologic testing frequently falls short of detecting all neuroinvasive pathogens. Our research suggests that mNGS offers an alternative means of detecting nosocomial CNS infections. By applying mNGS to CSF samples from patients with meningitis or encephalitis, we were able to improve the ability to diagnose nosocomial neurologic infections.
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