Background Lung clearance index (LCI) is accepted as an early marker of lung disease in cystic fibrosis (CF), however the utility of LCI to identify subgroups of CF disease in the paediatric age group has never been explored. The aim of the study was to characterize phenotypes of children with CF using LCI as a marker of ventilation inhomogeneity and to investigate whether these phenotypes distinguished patients based on time to pulmonary exacerbation (PE). Methods Data were collected on patients with CF aged < 18 years old, attending the CF Center of Milan during outpatient follow-up visits between October 2014 and September 2019. Cluster analysis using agglomerative nesting hierarchical method was performed to generate distinct phenotypes. Time-to-recurrent event analysis investigated association of phenotypes with PE. Results We collected 313 multiple breath washout tests on 125 children aged 5.5-16.8 years. Cluster analysis identified two divergent phenotypes in children and adolescents of same age, presenting with almost normal FEV1 but with substantial difference in markers of ventilation inhomogeneity (mean LCI difference of 3.4, 95% Confidence Interval [CI] 2.6-4.2). A less severe phenotype was associated with a lower risk of PE relapse (Hazard Ratio 0.45, 95% CI 0.34-0.62). Conclusions LCI is useful in clinical practice to characterize distinct phenotypes of children and adolescents with mild/normal FEV1. A less severe phenotype translates into a lower risk of PE relapse

Lung clearance index to characterize clinical phenotypes of children and adolescents with cystic fibrosis / S. Gambazza, F. Ambrogi, F. Carta, L. Moroni, M. Russo, A. Brivio, C. Colombo. - In: BMC PULMONARY MEDICINE. - ISSN 1471-2466. - 22:1(2022 Apr 01), pp. 122.1-122.8. [10.1186/s12890-022-01903-5]

Lung clearance index to characterize clinical phenotypes of children and adolescents with cystic fibrosis

S. Gambazza
Primo
;
F. Ambrogi
Secondo
;
C. Colombo
Ultimo
2022

Abstract

Background Lung clearance index (LCI) is accepted as an early marker of lung disease in cystic fibrosis (CF), however the utility of LCI to identify subgroups of CF disease in the paediatric age group has never been explored. The aim of the study was to characterize phenotypes of children with CF using LCI as a marker of ventilation inhomogeneity and to investigate whether these phenotypes distinguished patients based on time to pulmonary exacerbation (PE). Methods Data were collected on patients with CF aged < 18 years old, attending the CF Center of Milan during outpatient follow-up visits between October 2014 and September 2019. Cluster analysis using agglomerative nesting hierarchical method was performed to generate distinct phenotypes. Time-to-recurrent event analysis investigated association of phenotypes with PE. Results We collected 313 multiple breath washout tests on 125 children aged 5.5-16.8 years. Cluster analysis identified two divergent phenotypes in children and adolescents of same age, presenting with almost normal FEV1 but with substantial difference in markers of ventilation inhomogeneity (mean LCI difference of 3.4, 95% Confidence Interval [CI] 2.6-4.2). A less severe phenotype was associated with a lower risk of PE relapse (Hazard Ratio 0.45, 95% CI 0.34-0.62). Conclusions LCI is useful in clinical practice to characterize distinct phenotypes of children and adolescents with mild/normal FEV1. A less severe phenotype translates into a lower risk of PE relapse
Cystic fibrosis; Lung clearance index; Pediatrics; Phenotypes; Time-to-event data;
Settore MED/38 - Pediatria Generale e Specialistica
Settore MED/01 - Statistica Medica
1-apr-2022
Article (author)
File in questo prodotto:
File Dimensione Formato  
s12890-022-01903-5.pdf

accesso aperto

Tipologia: Publisher's version/PDF
Dimensione 966.9 kB
Formato Adobe PDF
966.9 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

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: https://hdl.handle.net/2434/920381
Citazioni
  • ???jsp.display-item.citation.pmc??? 1
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 2
social impact