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The ITS2 Database
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The ITS2 Database

Published on: March 12, 2012

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Pediatric Vital Sign Distribution Derived From a Multi-Centered Emergency Department Database

Robert J Sepanski1, Sandip A Godambe2, Arno L Zaritsky2

  • 1Department of Quality Improvement, Children's Hospital of The King's Daughters, Norfolk, VA, United States.

Insights

Current pediatric vital sign screening tools may not accurately reflect children's actual heart and respiratory rates. New centile rankings offer improved methods for identifying abnormal vital signs in emergency departments.

Area of Science:

  • Pediatric Emergency Medicine
  • Clinical Informatics
  • Biostatistics

Background:

  • Existing vital sign thresholds in pediatric emergency department (ED) screening tools may not align with observed vital signs.
  • There is a need for updated vital sign data that reflects current pediatric populations.

Purpose of the Study:

  • To develop accurate heart rate (HR) and respiratory rate (RR) centile rankings and z-scores for pediatric ED screening tools.
  • To compare derived centiles with existing guidelines and previous studies.

Main Methods:

  • Analysis of ~1.2 million non-admitted pediatric records from 169 EDs (2009-2013).
  • Development of centile curves and z-scores using generalized additive models.
  • Split-sample validation and comparison with prior data and Pediatric Advanced Life Support (PALS) guidelines.

Main Results:

  • Empirical 95th centiles for HR and RR were determined from the large dataset.
  • Derived centiles were higher than previously published results.
  • Both HR and RR centiles deviated from PALS guideline recommendations.

Conclusions:

  • Centiles derived from real-world pediatric ED data can improve screening tools by stratifying severity of vital sign deviation.
  • These centiles can inform modifications for electronic and paper-based screening tools.
  • Potential applications include improved bedside alarm limits beyond the ED.
Abstract

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