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Predictors of meningitis in children presenting with first febrile seizures

Prerna Batra1, Sushan Gupta, Sunil Gomber

  • 1Department of Pediatrics, University College of Medical Sciences and Associated Guru Teg Bahadur Hospital, Delhi, India. drprernabatra@yahoo.com

Pediatric Neurology
|December 15, 2010
PubMed

Insights

Bacterial meningitis affects 2.4% of Indian infants with a first seizure and fever. Neurologic deficits, prolonged seizures, and postictal drowsiness are key predictors, guiding further investigation in pediatric febrile seizures.

Area of Science:

  • Pediatrics
  • Infectious Diseases
  • Neurology

Background:

  • Limited data exist on the prevalence of meningitis in Indian infants experiencing their first seizure with fever.
  • Bacterial meningitis is a serious condition that requires prompt diagnosis and treatment in children.

Purpose of the Study:

  • To determine the prevalence of bacterial meningitis in Indian children aged 6-18 months with a first episode of seizures with fever.
  • To identify clinical predictors of bacterial meningitis in this pediatric population.

Main Methods:

  • A study analyzed the clinical and investigative profiles of 497 children (6-18 months) admitted with first febrile seizures.
  • Lumbar puncture was performed in 199 (40.04%) of these infants to diagnose meningitis.

Main Results:

  • The overall prevalence of meningitis was 2.4% in children with first febrile seizures.
  • Prevalence was 0.86% in simple febrile seizures and 4.81% in complex febrile seizures.
  • Predictors of meningitis included seizure duration >30 minutes, postictal drowsiness, and neurologic deficits, with the latter being most reliable.

Conclusions:

  • Neurologic deficits, prolonged seizures, and postictal drowsiness are significant clinical predictors of bacterial meningitis in infants with first febrile seizures.
  • These findings highlight the importance of assessing these predictors for early diagnosis.
  • Larger prospective studies are recommended to further validate these clinical predictors.

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