In children with typical respiratory symptoms, the assessment of limitation in expiratory airflow is considered an essential component to support the clinical diagnosis of asthma. In this respect, a greater than or equal to 12% increase in postbronchodilator FEV1 has been proposed in international guidelines as evidence of airway reversibility. However, the validity of the 12% cutoff has been questioned in children. The aim of this study was to assess whether a thorough statistical model taking into account bronchodilator response (BDR) cutoff values and some child characteristics is associated with better performance than the traditional use of BDR cutoff values in supporting the clinical diagnosis through discrimination of outpatient children with steroid-naive asthma from those without asthma. More specifically, we propose to use a regression model with child covariates (eg, age, weight, height, and atopy) as usual linear terms and a piecewise linear relationship on BDR in which cutoff values are properly estimated from the data.

A model-based approach for assessing bronchodilator responsiveness in children: The conventional cutoff revisited

Ferrante G
;
2021

Abstract

In children with typical respiratory symptoms, the assessment of limitation in expiratory airflow is considered an essential component to support the clinical diagnosis of asthma. In this respect, a greater than or equal to 12% increase in postbronchodilator FEV1 has been proposed in international guidelines as evidence of airway reversibility. However, the validity of the 12% cutoff has been questioned in children. The aim of this study was to assess whether a thorough statistical model taking into account bronchodilator response (BDR) cutoff values and some child characteristics is associated with better performance than the traditional use of BDR cutoff values in supporting the clinical diagnosis through discrimination of outpatient children with steroid-naive asthma from those without asthma. More specifically, we propose to use a regression model with child covariates (eg, age, weight, height, and atopy) as usual linear terms and a piecewise linear relationship on BDR in which cutoff values are properly estimated from the data.
children
asthma
spirometry
bronchodilator response
cut-off
File in questo prodotto:
File Dimensione Formato  
Sottile_JACI 2020.pdf

non disponibili

Dimensione 457.33 kB
Formato Adobe PDF
457.33 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11562/1050490
Citazioni
  • ???jsp.display-item.citation.pmc??? 1
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 4
social impact