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Forced oscillation technique as a predictor for loss of control in asthmatic children
BACKGROUND: A reliable objective tool using as a predictor of asthma control status could assist asthma management. OBJECTIVE: To find the parameters of forced oscillation technique (FOT) as predictors for the future loss of asthma symptom control. METHODS: Children with well-controlled asthma sympt...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Asia Pacific Association of Allergy, Asthma and Clinical Immunology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016320/ https://www.ncbi.nlm.nih.gov/pubmed/32099825 http://dx.doi.org/10.5415/apallergy.2020.10.e3 |
Sumario: | BACKGROUND: A reliable objective tool using as a predictor of asthma control status could assist asthma management. OBJECTIVE: To find the parameters of forced oscillation technique (FOT) as predictors for the future loss of asthma symptom control. METHODS: Children with well-controlled asthma symptom, aged 6–12 years, were recruited for a 12-week prospective study. FOT and spirometer measures and their bronchodilator response were evaluated at baseline. The level of asthma symptom control was evaluated according to Global Initiative for Asthma. RESULTS: Among 68 recruited children, 41 children (60.3%) maintain their asthma control between 2 visits (group C-C), and 27 children (39.7%) lost their asthma control on the follow-up visit (group C-LC). Baseline FOT parameters, including the values of respiratory resistance at 5 Hz (R5), respiratory resistance at 20 Hz (R20), respiratory reactance at 5 Hz, area of reactance, %predicted of R5 and percentage of bronchodilator response (%∆) of R5 and R20 were significantly different between C-C and C-LC groups. In contrast, only %∆ of forced vital capacity, forced expiratory volume in 1 second (FEV(1)), and FEF(25%–75%) (forced expiratory flow 25%–75%) were significantly different between groups. Multiple logistic regression analysis revealed that %predicted of R5, %∆R5, %predicted of FEV(1) and %∆FEV(1) were the predictive factors for predicting the future loss of asthma control. The following cutoff values demonstrated the best sensitivity and specificity for predicting loss of asthma control: %predicted of R5=91.28, %∆R5=21.2, %predicted of FEV(1)=89.5, and %∆FEV(1)=7.8. The combination of these parameters predicted the risk of loss of asthma control with area under the curve of 0.924, accuracy of 83.8%. CONCLUSION: Resistance FOT measures have an additive role to spirometric parameter in predicting future loss of asthma control. |
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