AI Article Synopsis

  • CNS infections are serious post-neurosurgery complications, and traditional diagnostic methods struggle to identify pathogens effectively.
  • A 15-year-old girl who had surgery for ependymoma developed a CNS infection, where metagenomic next-generation sequencing (mNGS) identified the pathogen and its resistance genes quickly.
  • mNGS demonstrated significant benefits for pathogen identification and monitoring, with multiple tests helping adjust treatment as the infection progressed.

Article Abstract

Background: Central nervous system (CNS) infection is one of the most serious complications after neurosurgery. Traditional clinical methods are difficult to diagnose the pathogen of intracranial infection. Due to recent advances in genomic approaches, especially sequencing technologies, metagenomic next-generation sequencing (mNGS) has been applied in many research and clinical settings.

Case Presentation: Here, we report a case of CNS infection with in a 15-year-old woman, who previously underwent surgery for recurrence of ependymoma in the fourth ventricle. On the eleventh postoperative day, the patient had a high fever and leukocytosis in the cerebrospinal fluid (CSF). mNGS using CSF rapidly and accurately identified the causative pathogen as with carbapenem resistance genes and , which were confirmed by subsequent culture and susceptibility tests within 5 days. During the disease, mNGS, culture, and drug susceptibility testing were continued to monitor changes in pathogenic bacteria and adjust medication. At present, there are no case reports on to the use of mNGS for detecting pathogens in postoperative infection with ependymoma and guide medication.

Conclusion: mNGS has great advantages in pathogen identification and even pathogen resistance prediction. Multiple mNGS examinations during the course of the disease play an important role in the dynamic monitoring of pathogens.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9634161PMC
http://dx.doi.org/10.3389/fpubh.2022.1028920DOI Listing

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