Risk factors for cerebrospinal fluid shunt infection in pediatrics: A meta-analysis

Roidah Taqiyya Zahra Wathoni1, Wihasto Suryaningtyas1, Budi Utomo2

  • 1Department of Neurosurgery, Universitas Airlangga - Faculty of Medicine, Dr. Soetomo Academic General Hospital, Surabaya, East Java, Indonesia.

PubMed

Insights

Infants under 6 months, Caucasian, and African-American children face higher risks of cerebrospinal fluid (CSF) shunt infection. This meta-analysis identified key pediatric risk factors for shunt infection, informing prevention strategies.

Area of Science:

  • Pediatric Neurosurgery
  • Infectious Disease Epidemiology
  • Medical Statistics

Background:

  • Cerebrospinal fluid (CSF) shunts are vital for hydrocephalus treatment.
  • Shunt infection is a significant complication, posing medical and social challenges.
  • Identifying pediatric risk factors for shunt infection is crucial for improving patient outcomes.

Purpose of the Study:

  • To conduct a meta-analysis investigating risk factors for shunt infection in pediatric patients.
  • To synthesize existing evidence on factors associated with CSF shunt infection in children.

Main Methods:

  • Systematic literature search of PubMed, Scopus, and Cochrane Library.
  • Adherence to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
  • Inclusion of five relevant publications for meta-analysis.

Main Results:

  • Infants under 6 months showed a significantly higher risk (RR 33.06).
  • Caucasian race (RR 15.24) and African-American race (RR 2.37) were associated with increased infection risk.
  • Factors like prematurity-related intraventricular hemorrhage and gastrostomy presence were not significant in this analysis.

Conclusions:

  • Younger age (<6 months), Caucasian, and African-American race are significant risk factors for pediatric CSF shunt infection.
  • Previously suggested risk factors require further investigation in larger cohorts.
  • Future research should focus on extensive populations and comprehensive risk factor analysis for shunt infection.
Abstract

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