Related Experiment Video
Updated: Dec 22, 2025

Conducting Respiratory Oscillometry in an Outpatient Setting
Published on: April 8, 2022
Predicting asthma exacerbation by impulse oscillometry evaluation of small airway function and fractional exhaled
Shouyan Zheng1, Ying Hu1, Zhiqiang Chen1
1Department of Pediatrics, The First Hospital Affiliated to Army Medical University, Chongqing, China.
Insights
Impulse oscillometry (IOS) indices like AX can predict future loss of asthma control in preschool children. These measurements are more effective than FeNO for identifying children at risk of uncontrolled asthma.
Area of Science:
- Pediatric Pulmonology
- Respiratory Medicine
- Asthma Research
Background:
- Asthma control in preschool children is challenging to predict.
- Peripheral airway dysfunction may precede loss of asthma control.
- Current methods for assessing asthma control in young children have limitations.
Purpose of the Study:
- To evaluate impulse oscillometry (IOS) indices and fractional exhaled nitric oxide (FeNO) as predictors of future asthma control loss in preschool children.
- To identify specific IOS parameters that can distinguish between children who will maintain or lose asthma control.
Main Methods:
- A cohort of preschool children (3-6 years) with asthma and a control group without asthma were enrolled.
- Participants underwent assessments including symptom history, IOS, FeNO, and physician evaluation at baseline and follow-up (8-12 weeks).
- Changes in asthma control status were assessed at follow-up, and IOS and FeNO values were compared between groups.
Main Results:
- Children who lost asthma control (UC-Group) showed significantly higher R5, R5-20, AX, and Z5 IOS values compared to those who maintained control (C-Group) and the normal control group (N-Group).
- FeNO levels did not significantly differ between the UC-Group and C-Group.
- Four IOS indices (R5, R5-20, AX, Z5) demonstrated an area under the curve (AUC) > 0.8, indicating good predictive ability.
Conclusions:
- Specific impulse oscillometry indices, particularly AX, are effective predictors of future loss of asthma control in preschool children.
- The optimal cut-off point for AX (37.435 cm H2O/L) can identify children at risk of losing asthma control.
- IOS parameters offer a valuable tool for monitoring peripheral airway function and predicting asthma control in young children.
Objective:
To study impulse oscillometry (IOS) indices of peripheral airway function and FeNO as predictors of future loss of asthma control in preschool children.
Methods:
Patients aged 3 to 6 years who were actively being treated for asthma and children without asthma were enrolled in the study. Participants had no change in medication on visit 1 and returned for a follow-up visit within 8 to 12 weeks. At the first visit, nursing assessment, symptom history, IOS analysis, FeNO, and physician evaluation were repeated.
Results:
Fifty-one (64.6%) subjects had lost asthma control (UC-Group) and 28 (35.4%) subjects had maintained asthma control (C-Group) at their follow-up visit. Thirty-two children without asthma were enrolled in the study as a normal control group (N-Group). R5, R5-20, AX, and Z5 values were all significantly higher in subjects whose symptoms remained uncontrolled compared with those in the controlled asthma group (P < .01) and also significantly higher than those in the normal control group (P < .01). FeNO showed no significant difference between the UC-Group and C-Group (P = .399). Four indices-R5, R5-20, AX, and Z5-had an estimated area under the curve (AUC) of greater than 0.8 and were thus easily able to distinguish the UC-Group from the C-Group.
Conclusions:
AX had the highest overall AUC (0.884) of the investigated parameters, and the optimal cut-off point of 37.435 cm H2 O/L was able to predict future loss of asthma control in preschool children.
Related Concept Videos
Asthma-II: Pathophysiology and Classification
Additionally, environmental and genetic factors play crucial roles in determining an individual's susceptibility to asthma and the severity of their condition.
Critical processes in asthma pathophysiology include:
Asthma-IV: Diagnostic and Management
Clinical Assessment for Asthma:
This is the first step in diagnosing and managing asthma. It includes:
Asthma-I: Introduction
Asthma-III: Symptoms and Complications
Classification of Asthma
Asthma: Pathogenesis and Management
Asthma is classified as allergic and non-allergic. Allergens such as dust mites, pollen, and pet dander trigger allergic asthma, while factors like cold air, intense emotions, or exercise can induce non-allergic asthma.
Chronic Obstructive Pulmonary Disease-IV: Assessement and Diagnostic Studies
Medical History

