Microbial aspects and potential markers for differentiation between bacterial and viral meningitis among adult

Sultan F Alnomasy1, Bader S Alotaibi1, Ahmed H Mujamammi2

  • 1Department of Medical Laboratories Sciences, College of Applied Medical Sciences in Al- Quwayiyah, Shaqra University, Al- Quwayiyah, Riyadh, Saudi Arabia.

Plos One
|June 11, 2021
PubMed
Abstract

Insights

This study identified key markers to differentiate bacterial from viral meningitis. Combining cerebrospinal fluid (CSF) protein and serum procalcitonin (PCT) levels offers high accuracy in predicting bacterial meningitis.

Area of Science:

  • Infectious Diseases
  • Clinical Microbiology
  • Biomarker Discovery

Background:

  • Meningitis is a critical condition with high mortality and potential for permanent disability.
  • Accurate differentiation between bacterial and viral meningitis is crucial for timely and appropriate treatment.

Purpose of the Study:

  • To identify causative microorganisms in meningitis.
  • To determine potential biomarkers for distinguishing bacterial from viral meningitis.

Main Methods:

  • Adult patients with acute meningitis underwent lumbar puncture for cerebrospinal fluid (CSF) analysis.
  • Real-time PCR was used to identify microorganisms in CSF.
  • Procalcitonin (PCT), C-reactive protein (CRP), leucocyte counts, and CSF-protein and glucose levels were assessed.

Main Results:

  • Of 80 patients, 75 had confirmed meningitis (38 bacterial, 34 viral, 3 mixed).
  • Bacterial meningitis showed significantly higher PCT, leucocyte counts, and CSF-protein, with lower CSF-glucose compared to viral meningitis.
  • Serum PCT and CSF parameters, particularly the combination of PCT and CSF-protein, demonstrated high accuracy (AUC 0.998) in differentiating bacterial from viral meningitis.

Conclusions:

  • Cerebrospinal fluid (CSF) protein and serum procalcitonin (PCT) are valuable markers for differentiating bacterial from viral meningitis.
  • The combined use of CSF-protein and serum PCT significantly enhances the accuracy of predicting bacterial meningitis.