Predicting unplanned readmissions to a pediatric cardiac intensive care unit using predischarge Pediatric Early

Ashley R Kroeger1, Jacqueline Morrison2, Andrew H Smith1

  • 1Department of Pediatrics, Section of Critical Care Medicine, Monroe Carell Jr Children's Hospital at Vanderbilt, School of Medicine, Vanderbilt University, Nashville, Tennessee, USA.

Insights

Pediatric Early Warning Scores (PEWS) did not reduce unplanned readmissions after pediatric cardiac intensive care unit (CICU) discharge. However, a model incorporating PEWS and other factors effectively identified at-risk patients for readmission.

Area of Science:

  • Pediatric critical care medicine
  • Cardiology
  • Patient safety

Background:

  • Unplanned readmissions to the pediatric cardiac intensive care unit (CICU) are linked to increased morbidity and mortality.
  • The Pediatric Early Warning Score (PEWS) is used to identify ward patients at risk of decompensation.

Purpose of the Study:

  • To evaluate if PEWS, assessed before transfer from the CICU, can predict unplanned readmissions in pediatric cardiac patients.
  • To determine the effectiveness of pre-transfer PEWS in identifying patients at risk for readmission.

Main Methods:

  • Retrospective analysis of patients discharged from a tertiary children's hospital CICU (September 2012 - August 2015).
  • PEWS assessed post-transfer to ward; pre-transfer PEWS implemented in January 2014.
  • Pre-transfer PEWS scores exceeding a threshold triggered further stability assessments.

Main Results:

  • No significant reduction in unplanned readmission rates after pre-transfer PEWS implementation (10.2% vs. 9.2%).
  • Cardiac-specific PEWS scores were a strong independent predictor of readmission (OR 1.78).
  • A multivariate model incorporating PEWS elements showed good predictive ability for readmission (AUC 0.77).

Conclusions:

  • Pre-transfer PEWS assessment alone did not decrease unplanned readmissions in this cohort.
  • A multivariate model combining pre-transfer PEWS with other patient characteristics effectively identifies patients at high risk for readmission.
  • Further research is needed to establish objective measures for pre-transfer discharge readiness to reduce readmissions.
Abstract

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