AI Article Synopsis

  • Childhood meningitis remains a significant cause of death in many countries, prompting the need for rapid diagnostic methods and identification of prognostic factors to predict bacterial causes of the disease.
  • A study analyzed 1,331 confirmed bacterial meningitis cases over 32 years and identified Neisseria meningitidis as the most common cause, followed by Haemophilus influenzae and Streptococcus pneumoniae.
  • Diagnostic criteria were established for each bacteria, revealing specific symptoms and laboratory results that can lead to accurate predictions of the bacterial type, with high positive predictive values for Meningococcal Meningitis at 96.4% and for Streptococcus pneumoniae at 77.8%.

Article Abstract

Background: Childhood meningitis continues to be an important cause of mortality in many countries. The search for rapid diagnosis of acute bacterial meningitis has lead to the further exploration of prognostic factors. This study was scheduled in an attempt to analyze various clinical symptoms as well as rapid laboratory results and provide an algorithm for the prediction of specific bacterial aetiology of childhood bacterial meningitis.

Methodology And Principal Findings: During the 32 year period, 2477 cases of probable bacterial meningitis (BM) were collected from the Meningitis Registry (MR). Analysis was performed on a total of 1331 confirmed bacterial meningitis cases of patients aged 1 month to 14 years. Data was analysed using EPI INFO (version 3.4.3-CDC-Atlanta) and SPSS (version 15.0-Chicago) software. Statistically significant (p<0.05) variables were included in a conditional backward logistic regression model. A total of 838 (63.0%) attributed to Neisseria meningitidis, 252 (18.9%) to Haemophilus influenzae, 186 (14.0%) to Streptococcus pneumoniae and 55 (4.1%) due to other bacteria. For the diagnosis of Meningococcal Meningitis, the most significant group of diagnostic criteria identified included haemorrhagic rash (OR 22.36), absence of seizures (OR 2.51), headache (OR 1.83) and negative gram stain result (OR 1.55) with a Positive Predictive Value (PPV) of 96.4% (95%CI 87.7-99.6). For the diagnosis of Streptococcus pneumoniae, the most significant group of diagnostic criteria identified included absence of haemorrhagic rash (OR 13.62), positive gram stain (OR 2.10), coma (OR 3.11), seizures (OR 3.81) and peripheral WBC > or = 15000/microL (OR 2.19) with a PPV of 77.8% (95%CI 40.0-97.2). For the diagnosis of Haemophilus influenzae, the most significant group of diagnostic criteria included, absence of haemorrhagic rash (OR 13.61), age > or = 1 year (OR 2.04), absence of headache (OR 3.01), CSF Glu < 40 mg/dL (OR 3.62) and peripheral WBC < 15,000/microL (OR 1.74) with a PPV of 58.5% (95%CI 42.1-73.7).

Conclusions: The use of clinical and laboratory predictors for the assessment of the causative bacterial pathogen rather than just for predicting outcome of mortality seems to be a useful tool in the clinical management and specific treatment of BM. These findings should be further explored and studied.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2714179PMC
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0006426PLOS

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