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使用LMS方法得出的日本儿童呼吸阻力参考值。

Reference values for Japanese children's respiratory resistance using the LMS method.

作者信息

Hagiwara Satomi, Mochizuki Hiroyuki, Muramatsu Reiko, Koyama Harumi, Yagi Hisako, Nishida Yutaka, Kobayashi Tohru, Sakamoto Naoko, Takizawa Takumi, Arakawa Hirokazu

机构信息

Department of Pediatrics, Gunma University Graduate School of Medicine, Gunma, Japan.

Department of Pediatrics, Tokai University School of Medicine, Kanagawa, Japan.

出版信息

Allergol Int. 2014 Mar;63(1):113-9. doi: 10.2332/allergolint.13-OA-0591.

Abstract

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.

摘要

背景

强迫振荡技术(FOT)对于研究儿童以及患有哮喘的学龄儿童的肺功能很有用。然而,亚洲学龄儿童呼吸阻力(Rrs)的标准值仍然未知。我们使用一种FOT——脉冲振荡法(IOS),对日本小学和初中的健康儿童的Rrs标准值进行了评估。

方法

共有795名小学和初中儿童(年龄范围:6至15岁;平均年龄±标准差:11.1±2.4岁;404名男孩,391名女孩)参与了该研究。在这795名儿童中,我们使用IOS对537名6至15岁(平均±标准差:10.8±2.4岁)的儿童的Rrs进行了评估。

结果

以年龄、身高、体重和肥胖程度作为自变量,对IOS的三个参数——5赫兹时的Rrs(R5)、20赫兹时的Rrs(R20)以及5赫兹与20赫兹之间的Rrs差值(R5 - R20)进行回归分析,结果表明每个参数与儿童身高之间的相关性最强。所有参数均随身高增加而降低。我们使用lambda - mu - sigma(LMS)方法,基于身高创建了Rrs值的标准曲线。

结论

我们的标准曲线可能有助于儿童哮喘的诊断和控制评估。

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