Understanding Pediatric Clinical Deterioration Through Rapid Response System Trigger Clusters

Rebecca J Piasecki1, Elizabeth A Hunt1, Nancy Perrin1

  • 1Johns Hopkins University, Baltimore, Maryland.

Hospital Pediatrics
|December 8, 2025
PubMed

Insights

Four clusters of medical emergency team (MET) triggers were identified in pediatric patients. Specific trigger combinations, like low oxygen and altered mental status, were linked to worse outcomes, guiding better emergency care.

Area of Science:

  • Pediatric critical care medicine
  • Clinical informatics
  • Healthcare quality improvement

Background:

  • Medical emergency teams (METs) are crucial for managing clinical deterioration in acute care.
  • Understanding patterns of MET activation triggers and their impact on patient outcomes is limited.
  • Pediatric MET activation patterns require further investigation to optimize patient care.

Purpose of the Study:

  • To identify and describe clusters of triggers activating pediatric METs.
  • To examine the association between these trigger clusters and patient outcomes.
  • To inform clinical decision-making and predictive modeling for pediatric emergencies.

Main Methods:

  • Utilized data from the Get With The Guidelines®-Resuscitation registry (2015-2019) for 4289 pediatric MET events.
  • Applied cluster analysis to group MET activation triggers into distinct clusters.
  • Employed statistical methods (Pearson χ2, ANOVA, hierarchical logistic regression) to compare patient characteristics and assess outcome associations.

Main Results:

  • Identified four distinct MET trigger clusters based on presenting signs and symptoms.
  • Cluster 1 (low oxygen saturation, altered mental status) and Cluster 3 (new breathing difficulty, staff concern) were associated with increased critical care transfer.
  • Cluster 1 was also linked to a higher likelihood of acute respiratory compromise requiring assisted ventilation.

Conclusions:

  • Four unique pediatric MET trigger clusters demonstrate varying associations with patient outcomes.
  • MET trigger clusters can enhance bedside triage and clinical emergency management.
  • These findings can contribute to developing more precise predictive models for identifying clinical deterioration.
Abstract

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