Comparison of Two Different Intensive Care Unit Systems for Severely Ill Children in Japan: Data from the JaRPAC Registry

Acta Med Okayama. 2020 Aug;74(4):285-291. doi: 10.18926/AMO/60365.

Abstract

The importance of centralizing treatment services for severely ill children has been well established, but such entralization remains difficult in Japan. We aimed to compare the trauma and illness severity and mortality of children admitted to two common types of ICUs for children. According to the type of management and disposition of the medical provider, we classified ICUs as pediatric ICUs [PICUs] or general ICUs, and analyzed differences in endogenous and exogenous illness settings between them. Overall, 1,333 pediatric patients were included, with 1,143 patients admitted to PICUs and 190 patients to general ICUs. The Pediatric Cerebral Performance Category score (PCPC) at discharge was significantly lower in the PICU group (adjusted OR: 0.45; 95%CI: 0.23-0.88). Death and unfavorable neurological outcomes occurred less often in the PICU group (adjusted OR: 0.29; 95%CI: 0.14-0.60). However, when limited to exogenous illness, PCPC scores (adjusted OR: 0.38; 95%CI: 0.07-1.99) or death/unfavorable outcomes (adjusted OR: 0.72; 95%CI: 0.08-6.34) did not differ between the groups. PCPC deterioration and overall sequelae/death rates were lower in PICUs for children with endogenous illnesses, although the outcomes of exogenous illness were similar between the 2 unit types. Further studies on the necessity of centralization are warranted.

Keywords: centralization; critical care; kids; morbidity; mortality.

Publication types

  • Comparative Study
  • Multicenter Study
  • Observational Study

MeSH terms

  • Adolescent
  • Child
  • Child, Preschool
  • Critical Care / methods*
  • Female
  • Hospital Mortality
  • Humans
  • Infant
  • Infant, Newborn
  • Intensive Care Units, Pediatric / standards
  • Intensive Care Units, Pediatric / statistics & numerical data*
  • Japan
  • Male
  • Outcome Assessment, Health Care / statistics & numerical data
  • Registries