Paediatric meningitis in the conjugate vaccine era and a novel clinical decision model to predict bacterial aetiology

J Infect. 2024 May;88(5):106145. doi: 10.1016/j.jinf.2024.106145. Epub 2024 Mar 27.

Abstract

Objectives: The aims of this study were to assess aetiology and clinical characteristics in childhood meningitis, and develop clinical decision rules to distinguish bacterial meningitis from other similar clinical syndromes.

Methods: Children aged <16 years hospitalised with suspected meningitis/encephalitis were included, and prospectively recruited at 31 UK hospitals. Meningitis was defined as identification of bacteria/viruses from cerebrospinal fluid (CSF) and/or a raised CSF white blood cell count. New clinical decision rules were developed to distinguish bacterial from viral meningitis and those of alternative aetiology.

Results: The cohort included 3002 children (median age 2·4 months); 1101/3002 (36·7%) had meningitis, including 180 bacterial, 423 viral and 280 with no pathogen identified. Enterovirus was the most common pathogen in those aged <6 months and 10-16 years, with Neisseria meningitidis and/or Streptococcus pneumoniae commonest at age 6 months to 9 years. The Bacterial Meningitis Score had a negative predictive value of 95·3%. We developed two clinical decision rules, that could be used either before (sensitivity 82%, specificity 71%) or after lumbar puncture (sensitivity 84%, specificity 93%), to determine risk of bacterial meningitis.

Conclusions: Bacterial meningitis comprised 6% of children with suspected meningitis/encephalitis. Our clinical decision rules provide potential novel approaches to assist with identifying children with bacterial meningitis.

Funding: This study was funded by the Meningitis Research Foundation, Pfizer and the NIHR Programme Grants for Applied Research.

Keywords: Bacteria; Cerebrospinal fluid; Children; Diagnostics; Meningitis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Child
  • Child, Preschool
  • Clinical Decision Rules
  • Decision Support Techniques
  • Female
  • Humans
  • Infant
  • Male
  • Meningitis, Bacterial* / cerebrospinal fluid
  • Meningitis, Bacterial* / diagnosis
  • Meningitis, Bacterial* / microbiology
  • Meningitis, Viral* / cerebrospinal fluid
  • Meningitis, Viral* / diagnosis
  • Neisseria meningitidis / isolation & purification
  • Prospective Studies
  • Streptococcus pneumoniae / isolation & purification
  • United Kingdom / epidemiology
  • Vaccines, Conjugate*

Substances

  • Vaccines, Conjugate