BACKGROUND: The forced oscillation technique (FOT) is useful for studying pulmonary function in children, as well as in school children with asthma. However, the standard values for respiratory resistance (Rrs) in Asian school children remain unknown. We evaluated the standard Rrs using a type of FOT, impulse oscillometry (IOS), in healthy Japanese children at elementary and junior high schools. METHODS: A total of 795 children (age range: 6-15 years; mean age ± SD: 11.1 ± 2.4 years; 404 boys, 391 girls) at elementary and junior high schools participated in the study. Of the 795 children, we evaluated the Rrs of 537 children aged 6-15 years (mean ± SD: 10.8 ± 2.4 years) using IOS. RESULTS: Regression analyses with three IOS parameters, Rrs at 5Hz (R5), Rrs at 20Hz (R20), and Rrs difference between 5Hz and 20Hz (R5-R20), for age, height, weight, and degree of obesity as independent variables demonstrated the strongest correlation between each parameter and children's height. All parameters decreased with increasing height. Using the lambda-mu-sigma (LMS) method, we created standard curves for the Rrs values based on height. CONCLUSIONS: Our standard curves could be useful for diagnosis and control evaluation of childhood asthma.
BACKGROUND: The forced oscillation technique (FOT) is useful for studying pulmonary function in children, as well as in school children with asthma. However, the standard values for respiratory resistance (Rrs) in Asian school children remain unknown. We evaluated the standard Rrs using a type of FOT, impulse oscillometry (IOS), in healthy Japanese children at elementary and junior high schools. METHODS: A total of 795 children (age range: 6-15 years; mean age ± SD: 11.1 ± 2.4 years; 404 boys, 391 girls) at elementary and junior high schools participated in the study. Of the 795 children, we evaluated the Rrs of 537 children aged 6-15 years (mean ± SD: 10.8 ± 2.4 years) using IOS. RESULTS: Regression analyses with three IOS parameters, Rrs at 5Hz (R5), Rrs at 20Hz (R20), and Rrs difference between 5Hz and 20Hz (R5-R20), for age, height, weight, and degree of obesity as independent variables demonstrated the strongest correlation between each parameter and children's height. All parameters decreased with increasing height. Using the lambda-mu-sigma (LMS) method, we created standard curves for the Rrs values based on height. CONCLUSIONS: Our standard curves could be useful for diagnosis and control evaluation of childhood asthma.
Authors: Stanley P Galant; Hirsh D Komarow; Hye-Won Shin; Salman Siddiqui; Brian J Lipworth Journal: Ann Allergy Asthma Immunol Date: 2017-06 Impact factor: 6.347