Spirometry and impulse oscillometry in the diagnosis of cough variant asthma in children

Tian Chunyu1, Xiong Shiqiu2, Song Xin1

  • 1Capital Center for Children's Health, Capital Medical University, Beijing, China.

Respiratory Medicine
|July 14, 2025
PubMed

Insights

Spirometry and impulse oscillometry (IOS) effectively diagnose cough variant asthma (CVA) in children. Combining specific pre-test and post-bronchodilator parameters enhances diagnostic accuracy for CVA.

Area of Science:

  • Pediatric Pulmonology
  • Respiratory Diagnostics
  • Asthma Research

Background:

  • Cough variant asthma (CVA) presents diagnostic challenges in children.
  • Spirometry and impulse oscillometry (IOS) are pulmonary function tests used in asthma evaluation.
  • Assessing the combined utility of these methods for CVA diagnosis is crucial.

Purpose of the Study:

  • To evaluate the diagnostic performance of spirometry and IOS in children with CVA.
  • To compare the correlation and diagnostic advantages of spirometry and IOS.
  • To identify optimal parameter combinations for CVA detection.

Main Methods:

  • Children aged 5-12 with CVA and healthy controls underwent spirometry and IOS with bronchodilation (BD) tests.
  • Receiver operating characteristic (ROC) curves and area under the curve (AUC) were used to assess discriminatory potential.
  • Correlation and diagnostic consistency between spirometry and IOS parameters were analyzed.

Main Results:

  • Combined pre-BD MMEF and post-BD △MMEF yielded the highest AUC (0.892) for CVA diagnosis.
  • Combined pre-BD Z5 and post-BD △Z5 also showed high diagnostic utility (AUC 0.836).
  • Moderate negative correlation was found between spirometry (FEF25) and IOS (Z5, R5) parameters pre-BD.

Conclusions:

  • Changes in spirometry and IOS parameters post-bronchodilation offer significant diagnostic value for CVA in children.
  • Combined spirometry and IOS parameters improve the accuracy of CVA diagnosis.
  • These findings support the use of combined pulmonary function tests for pediatric CVA identification.
Abstract

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