Patterns and Non-Traditional Spirometric Indices in Pediatric Asthma: Toward Improved Disease Insights

Khouloud Kchaou1,2,3, Chaima Briki1, Soumaya Khaldi1,2,3

  • 1Department of Physiology and Functional Explorations, Abderrahmene Mami Hospital, Ariana, Tunisia.

Pediatric Pulmonology
|February 23, 2026
PubMed

Insights

Non-traditional spirometry indices, like FEV0.5/FVC, better assess airway dysfunction in children with asthma. These metrics improve the evaluation of asthma control and support personalized treatment strategies.

Area of Science:

  • Pulmonology
  • Pediatric Medicine
  • Respiratory Physiology

Background:

  • Pediatric asthma involves airway inflammation and hyperresponsiveness, often assessed by spirometry.
  • Traditional spirometric indices may not fully capture small airway disease in children.
  • This study explores novel spirometric patterns in pediatric asthma.

Purpose of the Study:

  • To determine the prevalence and characteristics of spirometric patterns in asthmatic children.
  • To evaluate non-traditional spirometric indices for assessing airway dysfunction.
  • To assess the utility of these indices in evaluating asthma control.

Main Methods:

  • Retrospective analysis of spirometry data from 162 asthmatic children (3-15 years).
  • Measured traditional indices (FEV1, FVC) and non-traditional indices (FEV0.5/FVC, FEV2/FVC, FEV3/FVC, FET).
  • Assessed asthma control using the Asthma Control Questionnaire (ACQ) and employed ROC analysis.

Main Results:

  • Preserved Ratio Impaired Spirometry (PRISm) was more common than obstruction.
  • Uncontrolled asthma correlated with prolonged FET and reduced FEV0.5/FVC, FEV1/FVC, FEV2/FVC, and FEV3/FVC.
  • FEV0.5/FVC showed the highest accuracy (AUC=0.805) in distinguishing controlled from uncontrolled asthma.

Conclusions:

  • Non-traditional spirometric indices, especially FEV0.5/FVC, improve airway dysfunction assessment in pediatric asthma.
  • These indices offer a more comprehensive understanding of asthma phenotypes.
  • Incorporating these metrics supports personalized asthma management strategies.
Abstract

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