Neurosurgical management of extraaxial central nervous system infections in children

Sanjay Gupta1, Shobhan Vachhrajani, Abhaya V Kulkarni

  • 1Division of Neurosurgery, The Hospital for Sick Children, The University of Toronto, Ontario, Canada.

Insights

Extraaxial CNS infections like subdural empyema and epidural abscess require prompt diagnosis and neurosurgical intervention. Early treatment is crucial for better outcomes in children with these rare, serious infections.

Area of Science:

  • Pediatric Neurology
  • Infectious Diseases
  • Neurosurgery

Background:

  • Extraaxial central nervous system (CNS) infections, such as subdural empyema and epidural abscess, are uncommon but critical conditions.
  • Prompt diagnosis and intervention are vital for improving neurological recovery and preventing life-threatening complications.

Purpose of the Study:

  • To analyze the outcomes of extraaxial CNS infections in children.
  • To identify factors predicting outcomes in pediatric patients diagnosed with subdural empyema or epidural abscess.

Main Methods:

  • Retrospective analysis of medical records of children diagnosed with extraaxial CNS infections over 24 years.
  • Inclusion criteria required radiological and/or operative confirmation of subdural empyema or epidural abscess.
  • Data collected included demographics, clinical presentation, etiology, pathogens, complications, and treatment outcomes.

Main Results:

  • 70 children were identified; sinusitis was the most common cause in older children, while meningitis led to subdural empyema in infants.
  • Streptococcus anginosus and Staphylococcus aureus were frequent pathogens. Neurosurgical procedures were common (91.4%).
  • Seizures and cerebral edema due to cortical vein thrombosis were the most frequent complications.

Conclusions:

  • Neurosurgical drainage to identify pathogens, followed by prolonged intravenous antibiotics, is the primary treatment for varied extraaxial CNS infections.
  • Early diagnosis and timely therapeutic intervention are essential for achieving optimal patient outcomes.
Abstract

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