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Published on: April 13, 2010
Small airway dysfunction is an independent dimension of wheezing disease in preschool children
Plamen Bokov1, Donies Jallouli-Masmoudi2, Flore Amat3
1Service de Physiologie Pédiatrique-Centre du Sommeil, INSERM NeuroDiderot, AP-HP, Hôpital Robert Debré, Université de Paris, Paris, France.
Insights
Small airway dysfunction (SAD) markers, measured by impedance, are independent of clinical asthma dimensions in preschool children. These SAD parameters did not differentiate wheezing phenotypes, suggesting they are separate from clinical disease characteristics.
Area of Science:
- Pediatric Pulmonology
- Respiratory Physiology
- Asthma Phenotyping
Background:
- Small airway dysfunction (SAD) is common in asthma but its role in characterizing wheezing phenotypes is unclear.
- Assessing the relationship between SAD parameters from impedance measurements and asthma probability is crucial for understanding wheezing phenotypes.
Purpose of the Study:
- To determine if small airway dysfunction (SAD) parameters, measured via impedance, are linked to asthma probability in preschool children.
- To investigate whether SAD markers can differentiate wheezing phenotypes.
Main Methods:
- Impulse oscillometry was used to measure respiratory system resistance and compliance in 139 preschool children with recurrent wheezing.
- Children were classified into asthma probability groups (few, some, most) using GINA guidelines.
- Principal Component Analysis (PCA) evaluated the association between SAD markers and asthma probability.
Main Results:
- The 'most having asthma' group showed lower airway inertance post-bronchodilator, potentially due to airway inhomogeneities.
- PCA identified four independent dimensions: peripheral resistance, central resistance, anthropometrics, and asthma probability.
- SAD markers were found to be independent of clinical dimensions and did not differentiate wheezing phenotypes.
Conclusions:
- Lung function parameters from impulse oscillometry and asthma probability represent independent dimensions of wheezing disease.
- SAD markers, as measured, do not appear to be useful for differentiating wheezing phenotypes in this population.
Background:
Whether small airway dysfunction (SAD), which is prevalent in asthma, helps to characterize wheezing phenotypes is undetermined. The objective was to assess whether SAD parameters obtained from impedance measurement and asthma probability are linked.
Methods:
One hundred and thirty-nine preschool children (mean age 4.7 years, 68% boys) suffering from recurrent wheezing underwent impulse oscillometry that allowed calculating peripheral resistance and compliance of the respiratory system (markers of SAD) using the extended RIC model (central and peripheral resistance, inertance, and peripheral compliance). Children were classified using the probability-based approach of GINA guidelines (few, some, and most having asthma). A principal component analysis (PCA) that determined the dimensions of wheezing disease evaluated the links between SAD and asthma probability.
Results:
Forty-seven children belonged to the few, 28 to the some, and 64 to the most having asthma groups. Whereas their anthropometrics and measured parameters were similar, the most having asthma group exhibited the lowest mean value of airway inertance after bronchodilator probably due to airway inhomogeneities. PCA characterized four independent dimensions including a peripheral resistance (constituted by baseline peripheral compliance, Frs, R5Hz, R5-20Hz, X5Hz, and AX), a central resistance (baseline central resistance, R20Hz), anthropometrics (age and height), and asthma probability (wheezing patterns and therapeutic steps). Thus, PCA showed that the SAD markers were independent from clinical dimensions and were unable to differentiate wheezing phenotypes.
Conclusions:
Lung function parameters obtained from impulse oscillometry and asthma probability were belonging to independent dimensions of the wheezing disease.
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