Which children account for repeated admissions within 1 year in a Brazilian pediatric intensive care unit?

Paulo Sérgio Lucas da Silva1, Marcelo Cunio Machado Fonseca2

  • 1Hospital do Servidor Público Municipal, Departamento de Pediatria, Unidade de Terapia Intensiva Pediátrica, São Paulo, SP, Brazil.

Jornal De Pediatria
|June 2, 2018
PubMed

Insights

Recurrent pediatric intensive care unit admissions are infrequent but costly, impacting bed care days and patient outcomes. Children with complex conditions, cognitive disability, or technology dependence face higher readmission risks.

Area of Science:

  • Pediatric critical care medicine
  • Healthcare outcomes research
  • Epidemiology of hospital readmissions

Background:

  • Pediatric intensive care unit (PICU) readmissions are a concern, yet data on recurrent admissions is limited.
  • Understanding readmission patterns is crucial for optimizing pediatric critical care resource allocation.

Purpose of the Study:

  • To characterize patients with recurrent admissions to a Brazilian PICU within a one-year period.
  • To identify factors associated with PICU readmissions and analyze their impact on healthcare utilization and patient outcomes.

Main Methods:

  • Retrospective study in a tertiary PICU over a 5-year follow-up period.
  • Outcome measured as maximum readmissions within any 365-day interval.
  • Logistic regression used to identify predictors of readmission.

Main Results:

  • 9.8% of admissions were readmissions, accounting for 33% of PICU bed care days.
  • Complex chronic conditions, cognitive disability, and technology assistance were associated with readmissions.
  • Readmitted patients experienced longer mechanical ventilation, PICU and hospital stays, and higher mortality.

Conclusions:

  • While the rate of PICU readmissions is low, they significantly increase resource utilization and worsen patient outcomes.
  • A 30-day readmission metric may underestimate the true burden of PICU readmissions.
  • Identifying high-risk patients (complex conditions, functional impairment, technology dependence) can inform targeted interventions.
Abstract

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