Normal values for forced oscillatory respiratory resistance in children.

Area of Science:

• Pediatric Pulmonology
• Respiratory Physiology

Background:

• Assessing respiratory resistance in children is crucial for diagnosing and managing lung diseases.
• Existing methods may have limitations in accuracy and applicability to young children.

Purpose of the Study:

• To establish normative data for forced oscillatory respiratory resistance in healthy children.
• To evaluate the predictive accuracy of different regression models for respiratory resistance.
• To compare the sensitivity of forced oscillatory respiratory resistance with FEV1 in detecting mild bronchial obstruction.

Main Methods:

• Measured forced oscillatory respiratory resistance in 138 healthy children (aged 2-16 years) using a commercial device.
• Performed regression analysis using height as the independent variable to predict normal resistance values.
• Calculated coefficients of variation (CV) to assess measurement reproducibility.
• Compared resistance values in children with mild asthma to established normal ranges.

Main Results:

• A quadratic regression model using height provided the best prediction of normal respiratory resistance and its range.
• Average individual coefficients of variation for resistance parameters were 9-13%, suggesting an expected CV of ~10% for repeated measurements.
• Most children with mild asthma fell within the normal reference intervals for respiratory resistance, indicating FEV1 may be more sensitive to obstruction.

Conclusions:

• Height-based quadratic regression effectively predicts normal respiratory resistance in children.
• Forced oscillatory respiratory resistance demonstrates good reproducibility with an expected CV of 10%.
• FEV1 appears more sensitive than forced oscillatory resistance for detecting mild bronchial obstruction in pediatric populations.
• This method is applicable for evaluating young children, monitoring individual patients, and in bronchodilation/challenge testing.