Development of heart and respiratory rate percentile curves for hospitalized children

Christopher P Bonafide1, Patrick W Brady, Ron Keren

  • 1Division of General Pediatrics, The Children's Hospital of Philadelphia, 34th St and Civic Center Blvd, Suite 12NW80, Philadelphia, PA 19104, USA. bonafide@email.chop.edu

Pediatrics
|March 13, 2013
PubMed

Insights

Hospitalized children frequently have vital signs outside textbook ranges. New percentile curves for heart and respiratory rates can improve clinical monitoring and early warning systems (EWS).

Area of Science:

  • Pediatric critical care
  • Clinical vital signs monitoring
  • Biostatistics in healthcare

Background:

  • Current vital sign reference ranges may not accurately reflect hospitalized children's physiology.
  • Existing pediatric early warning score (EWS) parameters might misinterpret vital sign deviations.

Purpose of the Study:

  • To create and validate heart and respiratory rate percentile curves for hospitalized children.
  • To compare vital sign distributions against established textbook ranges and EWS criteria.

Main Methods:

  • Utilized 6 months of electronic health record data from 14,014 children across two tertiary care hospitals.
  • Developed percentile curves using generalized additive models for location, scale, and shape.
  • Validated curves on 33% of the patient cohort, assessing deviations from reference ranges and EWS.

Main Results:

  • Analysis included 116,383 heart rate and 116,383 respiratory rate values.
  • Up to 54% of heart rate and 40% of respiratory rate observations fell outside textbook reference ranges.
  • A significant proportion of vital signs (up to 38% for heart rate, 30% for respiratory rate) could trigger increased EWS.

Conclusions:

  • Many hospitalized children exhibit vital signs outside conventional reference ranges and EWS parameters.
  • Derived percentile curves offer a potentially more accurate reference for clinical practice.
  • These percentiles can inform the development of evidence-based alerts and EWS for improved patient safety.
Abstract

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