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Measuring Respiratory Function in Mice Using Unrestrained Whole-body Plethysmography
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Age-related ranges of respiratory inductance plethysmography (RIP) reference values for infants and children

Sona Lakshme Balasubramaniam1, Yanping Wang1, Lauren Ryan1

  • 1Department of Biomedical Research and Center for Pediatric Lung Research, Nemours/Alfred I. duPont Hospital for Children, Wilmington, DE, USA.

Paediatric Respiratory Reviews
|February 26, 2019
PubMed

Insights

Respiratory inductance plethysmography (RIP) is a noninvasive breathing monitoring tool. This study compiles normative RIP data for children, creating age-based regression equations to aid in diagnosing pulmonary complications and guiding therapy.

Area of Science:

  • Pulmonary medicine
  • Biomedical engineering
  • Pediatric respiratory monitoring

Background:

  • Respiratory inductance plethysmography (RIP) is a noninvasive method for assessing breathing patterns.
  • RIP analysis requires post hoc calculation of various respiratory indices.
  • Existing normative RIP data lacks global evaluation across a wide pediatric age range.

Purpose of the Study:

  • To compile normative respiratory inductance plethysmography (RIP) indices from diverse studies for a broad spectrum of pediatric ages.
  • To derive regression equations for calculating normal RIP parameters based on age.
  • To provide clinicians and caregivers with a tool for comparing pediatric patient RIP data against established norms.

Main Methods:

  • Compilation of normative RIP indices from numerous published clinical studies.
  • Statistical analysis to derive age-dependent regression equations for key RIP parameters.
  • Literature review and data synthesis.

Main Results:

  • A comprehensive dataset of normative RIP indices across a wide pediatric age range was assembled.
  • Regression equations were developed to estimate normal RIP parameters as a function of age.
  • The derived equations enable age-specific comparison of patient RIP data.

Conclusions:

  • The compiled normative data and regression equations offer a valuable resource for pediatric respiratory monitoring.
  • This tool can assist in identifying pulmonary complications in children by comparing their RIP data to age-matched norms.
  • The findings support improved diagnosis and guidance of respiratory therapy for pediatric patients.

Keywords:
Labored breathing indexNormal respiratory inductancePercent of rib cage contribution to breathingPhase anglePlethysmography valuesRespiratory rate

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