RT Journal Article
SR Electronic
T1 Lung structure–function correlation in patients with primary ciliary dyskinesia
JF Thorax
JO Thorax
FD BMJ Publishing Group Ltd and British Thoracic Society
SP 339
OP 345
DO 10.1136/thoraxjnl-2014-206578
VO 70
IS 4
A1 Mieke Boon
A1 Francois L Vermeulen
A1 Willem Gysemans
A1 Marijke Proesmans
A1 Mark Jorissen
A1 Kris De Boeck
YR 2015
UL http://thorax.bmj.com/content/70/4/339.abstract
AB Background Primary ciliary dyskinesia (PCD) is a rare disease, characterised by chronic airway infection. In cystic fibrosis, FEV1 is insensitive to detect patients with structural damage, and Lung Clearance Index (LCI) was proposed as a better marker of early lung damage. In PCD, the relationship between functional and structural abnormalities has been less studied. We aimed to re-examine this in a cohort of children and adults with mild to moderate PCD. Methods Thirty-eight patients with PCD (5.2–25.0 years) and 70 healthy controls (4.4–25.8 years) were recruited to compare LCI, measured by N2 multiple breath washout and FEV1 in a prospective observational trial. In a subset of 30 patients who underwent chest imaging, structural abnormalities were evaluated with cystic fibrosis computed tomography (CFCT) scores. Results LCI was abnormal in 28 of 38 patients and a moderate correlation was observed between LCI and FEV1 (r=−0.519, p=0.001). Moreover, LCI correlated well with CFCT total score (r=0.800, p<0.001) and also with subscores for airway wall thickening (r=0.809, p<0.001), mucus plugging (r=0.720, p<0.001) and bronchiectasis (r=0.494, p<0.001). Concordance was seen between LCI and CFCT in 25 of 30 (83%) patients, but between FEV1 and CFCT in only 16 of 30 (53%) patients. LCI was more sensitive (90.9%, 95% CI 70.8 to 98.6) to detect patients with structural abnormalities than FEV1 (36.4%, 95% CI 17.2 to 59.3). Conclusions We demonstrated that measuring LCI in patients with PCD is of clinical relevance; it was more frequently abnormal than FEV1, correlated well with CFCT and was more sensitive than FEV1 to detect patients with structural abnormalities.