Risk factors of delirium in paediatric intensive care units: A meta-analysis

Xuelian Zhu1, Xiaoyan Feng2, Jia Lin3

  • 1Department of Orthopedics, Wuxi Children's Hospital, Wuxi, China.

Plos One
|July 8, 2022
PubMed

Insights

Delirium in the paediatric intensive care unit (PICU) is linked to developmental delay, mechanical ventilation, and certain medications. Age and length of stay also increase delirium risk in children.

Area of Science:

  • Pediatric critical care medicine
  • Neuroscience
  • Pharmacology

Background:

  • Delirium, a syndrome of brain dysfunction, affects children at a higher incidence.
  • Studies on pediatric intensive care unit (PICU) delirium report varying risk factors.
  • This study aims to clarify these risk factors for better delirium management in PICU.

Purpose of the Study:

  • To systematically review and integrate the identified risk factors for delirium in children within the pediatric intensive care unit.
  • To provide a clearer understanding of factors contributing to delirium in this vulnerable population.

Main Methods:

  • Comprehensive literature search across multiple databases (CNKI, CBMdisc, Wanfang, VIP, PubMed, Embase, Cochrane, JBI, PsycInfo).
  • Inclusion of studies based on the PICOS principle for patients in PICU.
  • Data analysis using RevMan 5.3 and Stata, with evidence quality assessed by the GRADE system.

Main Results:

  • Ten studies involving 4343 children were analyzed.
  • Significant risk factors identified include developmental delay (OR=3.34), mechanical ventilation (OR=4.11), benzodiazepine use (OR=5.05), and anticholinergic use (OR=5.04).
  • Older age groups (2-5 and 5-13 years) showed lower delirium incidence compared to younger children, while longer PICU length of stay (OR=1.10) increased risk.

Conclusions:

  • Developmental delay, mechanical ventilation, benzodiazepine and anticholinergic use, age, and PICU length of stay are independent risk factors for pediatric delirium.
  • The study acknowledges limitations due to the small number of included articles, suggesting potential bias.
  • Further large-scale, multicenter studies are recommended to validate these findings and guide clinical practice.
Abstract