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Employing the Forced Oscillation Technique for the Assessment of Respiratory Mechanics in Adults
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Identifying pediatric lung disease: A comparison of forced oscillation technique outcomes

Denby J Evans1, Andre Schultz1,2,3, Maureen Verheggen1,2,3

  • 1Telethon Kids Institute, Nedlands, Western Australia, Australia.

Pediatric Pulmonology
|March 20, 2019
PubMed

Insights

The forced oscillation technique (FOT) can non-invasively assess pediatric respiratory diseases. Resonance frequency (Fres) best identifies cystic fibrosis and asthma, while respiratory system reactance at 8 Hz (Xrs8) is key for preterm infants.

Area of Science:

  • Pediatric Pulmonology
  • Respiratory Physiology
  • Diagnostic Techniques

Background:

  • The forced oscillation technique (FOT) shows promise for non-invasive respiratory disease monitoring in children.
  • Identifying the most clinically relevant FOT outcomes for pediatric respiratory conditions remains unclear.

Purpose of the Study:

  • To determine which FOT outcomes are most sensitive in distinguishing between healthy children and those with specific respiratory diseases.
  • To evaluate the diagnostic utility of FOT parameters in pediatric cystic fibrosis, asthma, and very preterm infants.

Main Methods:

  • Respiratory impedance was measured in children aged 3-7 years using a commercial FOT device.
  • Calculated Z-scores for respiratory system resistance (Rrs) and reactance (Xrs), resonance frequency (Fres), frequency dependence (Fdep), and area under the reactance curve (AX).
  • Utilized receiver operating characteristic (ROC) curve analysis to identify the most discriminating FOT variables.

Main Results:

  • Resonance frequency (Fres) was highly effective in differentiating cystic fibrosis (P<0.0001) and asthma (P<0.0001) from health.
  • Respiratory system reactance at 8 Hz (Xrs8) proved most sensitive for identifying disease in very preterm infants (P<0.0001).

Conclusions:

  • The effectiveness of specific FOT outcomes varies depending on the underlying pediatric respiratory disease.
  • A disease-specific approach to interpreting FOT data may enhance its diagnostic capabilities in children.
Abstract

Keywords:
asthma & early wheezebronchopulmonary dysplasia (BPD)cystic fibrosis (CF)pulmonary function testing (PFT)

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