Risk Classification for Enteroviral Infection in Children With Meningitis and Negative Gram Stain

Ramia Zakhour1, Elizabeth Aguilera1, Rodrigo Hasbun2

  • 1From the Departments of Pediatrics and.

Pediatric Emergency Care
|November 30, 2016
PubMed

Insights

A predictive model identifies children with meningitis likely caused by Enterovirus. This can help avoid unnecessary hospitalizations and antibiotic use in pediatric patients.

Area of Science:

  • Pediatric Infectious Diseases
  • Virology
  • Clinical Diagnostics

Background:

  • Enterovirus is a leading cause of aseptic meningitis in children.
  • Accurate and timely diagnosis is crucial for appropriate patient management.
  • Identifying predictive factors can optimize diagnostic testing strategies.

Purpose of the Study:

  • To identify baseline variables associated with a positive cerebrospinal fluid (CSF) Enterovirus polymerase chain reaction (PCR).
  • To develop a predictive model for Enterovirus PCR positivity in children with meningitis symptoms.
  • To aid clinicians in outpatient management decisions for suspected viral meningitis.

Main Methods:

  • Retrospective review of pediatric patients (2 months to 17 years) with meningitis symptoms.
  • Analysis of CSF Enterovirus PCR results and clinical data.
  • Development of a predictive model using logistic regression.

Main Results:

  • A predictive model identified three key variables: seasonal presentation (May-November), low CSF protein (<100 mg/dL), and absence of focal neurologic signs.
  • The model classified patients into low-risk (0% positive PCR) and high-risk (42% positive PCR) categories.
  • Enterovirus PCR positivity was 37% in the study cohort; all confirmed cases had favorable outcomes.

Conclusions:

  • A validated predictive model can identify children warranting Enterovirus PCR testing.
  • This approach may reduce unnecessary hospitalizations and antibiotic administrations.
  • Optimizing Enterovirus testing can improve resource allocation in pediatric meningitis cases.
Abstract