Yang Xuwen, Liu Meishan, Shi Honglei, Hu Mengjia, Lu Yong, Chang Xiaohong, Huang Kewu
Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, People's Republic of China.
J Asthma Allergy. 2025 Apr 25;18:637-647. doi: 10.2147/JAA.S516257. eCollection 2025.
To investigate the effectiveness of impulse oscillometry (IOS) and its combination with fractional expiratory nitric oxide (FeNO) in distinguishing inadequately controlled asthma (ICA) from well-controlled asthma (WCA) in adults.
Adult patients aged 18 and above with asthma were recruited and underwent routine blood tests, FeNO, IOS, and spirometry before and after bronchodilator administration on the same day. Asthma control level was assessed using Asthma Control Test (ACT) scores; WCA was defined as a score above 20, while ICA was defined as a score of 20 or below. Receiver operating characteristic curve (ROC) and logistic regression analyses were employed to determine the relationship between IOS and FeNO measurements and asthma control.
The score values of IOS parameters, specifically resistance at 5 hz (R5), resistance at 20 hz (R20), and the area under reactance curve between 5 hz and resonant frequency (AX) after bronchodilator administration were significantly different between the WCA (n = 75) and ICA (n = 77) groups. IOS parameters, R5, R20, and AX, after bronchodilation identified patients with ICA, with areas under receiver operating characteristic curve (AUC) of 0.654, 0.690, and 0.708, respectively, adjusted for smoke exposure, variable airflow limitation and fixed airflow obstruction. Combining IOS parameters with FeNO significantly increased the AUC (0.728, 0.752, and 0.763) for detecting ICA compared to IOS parameters with R5, R20, and AX, alone. Patients with abnormal IOS and FeNO values had significantly higher odds ratio (OR) of having ICA by logistic regression analyses, especially for abnormally higher AX, with an OR of 6.48.
IOS is useful in discriminating ICA from WCA in adults, with its effectiveness further enhanced when combined with FeNO measurements.
探讨脉冲振荡法(IOS)及其与呼出气一氧化氮分数(FeNO)联合应用在区分成人控制不佳哮喘(ICA)和控制良好哮喘(WCA)方面的有效性。
招募18岁及以上的成年哮喘患者,在同一天进行支气管扩张剂给药前后的常规血液检查、FeNO、IOS和肺量计检查。使用哮喘控制测试(ACT)评分评估哮喘控制水平;WCA定义为评分高于20,而ICA定义为评分20或更低。采用受试者工作特征曲线(ROC)和逻辑回归分析来确定IOS和FeNO测量值与哮喘控制之间的关系。
支气管扩张剂给药后,WCA组(n = 75)和ICA组(n = 77)的IOS参数评分值,特别是5赫兹时的阻力(R5)、20赫兹时的阻力(R20)以及5赫兹与共振频率之间的电抗曲线下面积(AX)存在显著差异。支气管扩张后,IOS参数R5、R20和AX可识别出ICA患者,经调整吸烟暴露、可变气流受限和固定气流阻塞因素后,受试者工作特征曲线下面积(AUC)分别为0.654、0.690和0.708。与单独使用R5、R20和AX的IOS参数相比,将IOS参数与FeNO联合使用可显著提高检测ICA的AUC(分别为0.728、0.752和0.763)。通过逻辑回归分析,IOS和FeNO值异常的患者患ICA的比值比(OR)显著更高,尤其是AX异常升高时,OR为6.48。
IOS有助于区分成人的ICA和WCA,与FeNO测量联合应用时其有效性进一步增强。