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Asia Pacific Allergy ; (4): 3-2020.
Article in English | WPRIM | ID: wpr-785462

ABSTRACT

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 (FEV₁), and FEF25%–75% (forced expiratory flow 25%–75%) were significantly different between groups. Multiple logistic regression analysis revealed that %predicted of R5, %∆R5, %predicted of FEV₁ and %∆FEV₁ 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 FEV₁=89.5, and %∆FEV₁=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.


Subject(s)
Child , Humans , Asthma , Follow-Up Studies , Forced Expiratory Volume , Logistic Models , Prospective Studies , Sensitivity and Specificity , Spirometry , Vital Capacity
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