Structural Lung Disease and Clinical Phenotype in Bronchiectasis Patients: The EMBARC CT Study.
Chest CT scan
Inflammation
airway wall thickening
bronchiectasis
Journal
American journal of respiratory and critical care medicine
ISSN: 1535-4970
Titre abrégé: Am J Respir Crit Care Med
Pays: United States
ID NLM: 9421642
Informations de publication
Date de publication:
18 Apr 2024
18 Apr 2024
Historique:
medline:
18
4
2024
pubmed:
18
4
2024
entrez:
18
4
2024
Statut:
aheadofprint
Résumé
Chest computed tomography -scans (CTs) are essential to diagnose and monitor bronchiectasis (BE). To date, little quantitative data is available about the nature and extent of structural lung abnormalities (SLA) on CTs of BE patients. to investigate SLA on CTs of patients with bronchiectasis and the relationship of SLAs to clinical features using the European Bronchiectasis Registry (EMBARC) Methods: CTs from BE patients included in the EMBARC registry were analyzed using the validated Bronchiectasis Scoring Technique for CT (BEST-CT). BEST-CT subscores are expressed as % of total lung volume. Scored items are: atelectasis/consolidation (%ATCON), bronchiectasis with and without mucus plugging (%BEMP, %BEwMP), airway wall thickening (%AWT), mucus plugging (%MP), ground-glass opacities (%GGO), bullae (%BUL), airways and parenchyma (%A,%P). Four composite scores were calculated: Total BE (%TBE=%BEMP+%BEwMP), total MP (%TMP=%BEMP+%MP), total inflammatory changes (%TinF=%ATCON+%BEMP+%MP+%GGO) and total disease (%DIS= all but %A & %P).¬ Measurments and Main Results: CTs of 524 BE patients were analyzed. Mean (range) of subscores were: %TBE 4.6 (2.3-7.7), %TMP 4.2 (1.2-8.1), %TinF 8.3 (3.5-16.7) and %DIS 14.9 (9.1-25.9). BE associated with primary ciliary dyskinesia was associated with more SLA, while COPD was associated with less SLA. Lower FEV1, longer disease duration, Pseudomonas aeruginosa and NTM infection, and severe exacerbations were all independently associated with worse SLA. Patients with bronchiectasis have highly heterogeneous type and extent of structural lung abnormalities. Strong relationships between radiological disease and clinical features suggest CT analysis may be a useful tool for clinical phenotyping.
Identifiants
pubmed: 38635862
doi: 10.1164/rccm.202311-2109OC
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM