BMC Pediatrics (Nov 2024)

Evaluation of children with acute central nervous system infections admitted to the pediatric intensive care unit and pediatric ward: a retrospective study

  • Melis Deniz,
  • Tugba Erat,
  • Hatice Feray Arı,
  • Feyza Kabar,
  • Hasan Tezer,
  • Hande Şenol

DOI
https://doi.org/10.1186/s12887-024-05255-3
Journal volume & issue
Vol. 24, no. 1
pp. 1 – 10

Abstract

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Abstract Objectives Acute central nervous system (CNS) infections in children can lead to neurological complications and mortality. This study aimed to identify the clinical manifestations, laboratory parameters, and cerebrospinal fluid characteristics indicative of CNS infections and define the risk factors that lead to pediatric intensive care unit (PICU) admission in the pediatric population of Şanlıurfa, a city in southeastern Turkey. Methods This retrospective analysis included patients aged 1 month to 18 years who were treated for acute CNS infections in the Şanlıurfa Training and Research Hospital between January 2020 and May 2023. Clinical data were obtained from the hospital electronic medical records. Results A total of 68 patients with acute CNS infections were included in this study. The median patient age was 3 (0.94–8.75) years. Fever was the most prevalent symptom in 92.6% of the patients. Of the total, 25% (n = 17) of the patients had an identified causative agent and 35.3% (n = 24) were admitted to the PICU. Serum C-reactive protein (CRP) levels were significantly higher in patients with bacterial meningitis than in those with viral meningitis (p = 0.007). Patients with impaired consciousness and seizure were significantly more likely to require admission to the PICU than patients without these conditions (both p < 0.001). Patients requiring PICU admission had significantly higher platelet counts (p = 0.01). Conclusions Impaired consciousness, seizure, and thrombocytosis on admission were important risk factors for PICU admission. Serum CRP levels can serve as an indicator of bacterial meningitis. A combination of physical findings from clinical evaluations and laboratory data is necessary to accurately diagnose bacterial CNS infections.

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