Maximal Static Respiratory and Sniff Pressures in Healthy Children. A Systematic Review and Meta-Analysis

Rahul Verma1, Jackie Chiang2,3,4, Hong Qian5

  • 11 Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.

Insights

This systematic review and meta-analysis developed prediction equations for respiratory muscle strength in children. New equations for maximal inspiratory pressures (MIP) and maximal expiratory pressures (MEP) in healthy children aid clinical assessment.

Area of Science:

  • Pediatric Pulmonology
  • Respiratory Physiology
  • Clinical Assessment

Background:

  • Respiratory muscle strength is crucial for pediatric respiratory health.
  • Maximal inspiratory pressures (MIP), maximal expiratory pressures (MEP), and sniff nasal inspiratory pressures (SNIP) are key assessment metrics.
  • Existing reference ranges for these measures in children are limited and show wide variability.

Purpose of the Study:

  • To systematically review and summarize current reference ranges for MIP, MEP, and SNIP in healthy children.
  • To conduct a meta-analysis to develop comprehensive, sex-specific prediction equations for MIP and MEP.
  • To provide updated tools for accurate clinical assessment of pediatric respiratory muscle strength.

Main Methods:

  • Systematic review of five databases (inception to May 2017) for studies on MIP, MEP, and SNIP in children ≤18 years.
  • Inclusion criteria focused on healthy children and adherence to ATS 2002 guidelines; meta-analysis used individual participant data from five studies (1,709 children).
  • QUADAS-2 tool assessed study bias; multivariable random effects models generated prediction equations.

Main Results:

  • Eighteen studies involving 3,509 children were reviewed; high risk of bias was noted in some studies.
  • Meta-analysis of 1,709 children revealed significant differences: MIP and MEP were higher in boys than girls (P<0.0001), and MEP > MIP in both sexes (P<0.05).
  • Sex-specific prediction equations identified age, height, and weight as significant predictors; limited data for SNIP.

Conclusions:

  • Summarized reference ranges and developed novel prediction equations for MIP and MEP in healthy children.
  • These equations, incorporating age, height, and weight, can assist clinicians in pulmonary function laboratories.
  • Further research is needed to expand the limited existing literature on SNIP in pediatric populations.
Abstract

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