Author:
Wu Jinhong,Zhang Hao,Shi Yongsheng,Wang Jinrong,Han Yuling,Zhang Qiaoling,Wang Ning,Liu Sha,Zhang Yuehua,Zi Huifen,Wang Fei,Liu Aihong,Song Yuxin,Jia ChunMei,Feng Yong,Liu Quanhua,Wan liya,Ji Minghong,Long Zhen,Huang Jianfeng,Liu Li,Sun Yun,Tang Suping,Dong Xiaoyan,Zhou Xiaojian,Jiang Wenhui,Shen Li,Jiang Haohua
Abstract
Abstract
Objective
To establish the predicted value of pulmonary function determined by impulse oscillometry (IOS) in children (4–17 years old) in China.
Methods
A total of 6270 healthy children aged 4–17 years in China were included. The Master Screen IOS pulmonary function device (Jaeger Co, Germany) was used to detect the respiratory impedance (Zrs), resonant frequency (Fres), respiratory system resistance (Rrs) and respiratory system reactance (Xrs) at various oscillation frequencies, and the indices above were analysed. Stepwise multivariate regression was used to establish the regression equation of related parameters of IOS in different sexes, ages, height, and weight.
Results
The differences in the main IOS parameters between different age stages were statistically significant regardless of sex (P < 0.05). The stepwise multivariate regression analysis showed that IOS parameters were related to height, age, and weight, and most IOS parameters were most closely related to height (the absolute value of the regression coefficient was the largest). With increasing age and height, the values of Z5, R5, R20, R5–R20, and Fres decreased, while the value of X5 increased. Through height, age, and weight, we obtained the normal predicted values equation of children’s IOS parameters. Compared with the other reference equations, our reference equation is more suitable for Chinese children.
Conclusions
The study revealed the reference values of IOS parameters in healthy Chinese children. In the evaluation of results for lung function measurements, this predicted value equation is more consistent with the characteristics of Chinese children than other reference equations.
Clinical Trial: ChiCTR: 1800019029.
Funder
Shanghai Municipal Natural Science Foundation
Shanghai Medical Guidance, Science and Technology Support project of Traditional Chinese Medicine and Western Medicine
Innovation Fund for Combination of Chinese Traditional and Western Medicine, Shanghai Jiao Tong University School of Medicine
Publisher
Springer Science and Business Media LLC
Cited by
4 articles.
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