Asthma control test reflects not only lung function but also airway inflammation in children with stable asthma.
Woo Yeon LeeDong In SuhDae Jin SongHey-Sung BaekMeeyong ShinYoung YooJi-Won KwonGwang Cheon JangHyeon-Jong YangEun LeeJu-Hee SeoSung-Il WooHyung Young KimYoun Ho ShinJu Suk LeeJisun YoonSungsu JungMinkyu HanEunjin EomJinho YuWoo Kyung KimDae Hyun LimJin Tack KimWoo-Sung ChangJeom-Kyu LeeHwan Soo KimPublished in: The Journal of asthma : official journal of the Association for the Care of Asthma (2019)
Objective: Various numerical asthma control tools have been developed to distinguish different levels of symptom control. We aimed to examine whether the asthma control test (ACT) is reflective of objective findings such as lung function, fractional exhaled nitric oxide (FeNO) and laboratory data in patients with stable asthma.Methods: We included patients who were enrolled in the Korean Childhood Asthma Study. ACT, spirometry, blood tests and FeNO were performed in patients after stabilization of their asthma. We examined differences among spirometry parameters, blood tests and FeNO according to control status as determined by ACT and investigated for any significant correlations.Results: The study population consisted of 441 subjects. Spirometry showed that forced expiratory volume in one second (FEV1), forced expiratory flow between 25% and 75% of forced vital capacity and FEV1/forced vital capacity were all significantly higher in the controlled asthma group. Likewise, FeNO and percent-change in FEV1 were both significantly lower in the controlled asthma group. In blood tests, the eosinophil fraction was significantly lower in the controlled asthma group while white blood cell count was significantly higher in the controlled asthma group. Lastly, among the various factors analyzed, only provocative concentration of methacholine causing a 20% fall in FEV1 significantly correlated with ACT score.Conclusion: ACT is useful as part of the routine evaluation of asthmatic children and should be used as a complement to existing tools such as spirometry and FeNO measurement.
Keyphrases
- lung function
- chronic obstructive pulmonary disease
- cystic fibrosis
- air pollution
- nitric oxide
- end stage renal disease
- young adults
- stem cells
- chronic kidney disease
- intensive care unit
- newly diagnosed
- deep learning
- extracorporeal membrane oxygenation
- peritoneal dialysis
- early life
- patient reported outcomes
- patient reported