Reference data for BabyBody-plethysmographic measurements in Chinese neonates and infants

Gaoli Jiang1, Albert Li2, Libo Wang1

  • 1Department of Respirology, Children's Hospital of Fudan University, Shanghai, China.

Respirology (Carlton, Vic.)
|June 17, 2017
PubMed

Insights

This study provides crucial lung function reference data for Chinese neonates and infants. Length and weight are key predictors of respiratory health in young children.

Area of Science:

  • Pediatric Pulmonology
  • Neonatal Physiology
  • Respiratory Medicine

Background:

  • Population-specific pulmonary function data are vital for diagnosing respiratory diseases.
  • Existing reference data for Chinese neonates and infants are scarce.
  • This study addresses the need for localized lung function norms.

Purpose of the Study:

  • To establish reference data for tidal breathing and plethysmography in Chinese neonates and infants.
  • To develop predictive equations for lung function parameters in the first two years of life.
  • To provide a normative dataset for clinical assessment of respiratory health in this population.

Main Methods:

  • Collected tidal breathing and plethysmography data from healthy Chinese neonates and infants (0-24 months).
  • Utilized the Jaeger MasterScreen BabyBody system with sedated subjects.
  • Employed multivariable analyses and the LMS method to construct reference equations and percentiles.

Main Results:

  • Data from 396 neonates and 370 infants yielded acceptable measurements.
  • Derived normal reference percentiles and equations for tidal breathing and plethysmography.
  • Identified body weight, crown-heel length, and age as significant predictors of lung function, with length being the strongest.

Conclusions:

  • This study presents the first reference data for BabyBody-plethysmographic measurements in healthy Chinese subjects up to two years of age.
  • Crown-heel length and body weight are identified as the primary predictors of lung function in neonates and infants, respectively.
  • These findings are essential for accurate diagnosis and management of pediatric respiratory conditions in China.
Abstract