Closing volume by forced oscillations and severity of lung disease in young CF patients

<bold>Background:</bold> Data on small airway collapse in young patients with cystic fibrosis (CF) are scarce, mainly due to the complexity of the relevant measurements. Recently, a simpler method based on oscillatory dynamics has been introduced to detect airway closure. <bold>Objectives:</bold> To determine the airway closing volume by the forced oscillations technique (CV<sub>FOT</sub>) in children and young adults with CF and relate it to the severity of lung disease. <bold>Methods:</bold> Twenty young patients with CF (age 15.9 ± 5.6 years, range 7-27 years) underwent spirometry, FOT at 5Hz, and nitrogen multiple-breath washout measurements. CV<sub>FOT</sub> was defined as the volume at which the respiratory reactance drops suddenly during a slow expiration from total lung capacity to residual volume (RV). CV<sub>FOT</sub> was expressed as % of vital capacity and related to patients' age, spirometric parameters (FEV1 and FVC), and lung clearance index (LCI). <bold>Results:</bold> The CV<sub>FOT</sub> in our cohort was 21.6 ± 6.9% (range 10.6-32.8%). There was a positive but not significant correlation between CV<sub>FOT</sub> and age (r 0.378; P=0.101), a negative correlation between CV<sub>FOT</sub> and FEV1 z-score (r –0.743; P<0.001) and between CV<sub>FOT</sub> and FVC z-score (r –0.800; P<0.001), and a positive correlation between CV<sub>FOT</sub> and LCI (r 0.688; P<0.001). We also observed a positive correlation between CV<sub>FOT</sub> and RV z-score (r 0.545; P=0.013). In a linear regression model (R2 0.582), CV<sub>FOT</sub> emerged as the only significant predictor of LCI (beta 0.611; P=0.023), independently of patients’ age and FEV1 z-score. <bold>Conclusion:</bold> CVFOT relates closely to the progression and severity of lung disease in young CF patients. This novel and easy-to-obtain FOT parameter holds promise as a simpler tool for CF monitoring.

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Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.oa4661
Primary Topic
Neonatal Respiratory Health Research
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article
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article

Closing volume by forced oscillations and severity of lung disease in young CF patients

Sotirios Fouzas, Elpis Hatziagorou, Όλγα Λάγιου, Athina Sopiadou et al.
Neonatal Respiratory Health Research
article

Closing volume by forced oscillations and severity of lung disease in young CF patients

Sotirios Fouzas, Elpis Hatziagorou, Όλγα Λάγιου, Athina Sopiadou, Aris Bertzouanis, Christos Kogias, Elisavet‐Anna Chrysochoou, Emanuela Angeli, Petrina Vantsi
article en

Abstract

<bold>Background:</bold> Data on small airway collapse in young patients with cystic fibrosis (CF) are scarce, mainly due to the complexity of the relevant measurements. Recently, a simpler method based on oscillatory dynamics has been introduced to detect airway closure. <bold>Objectives:</bold> To determine the airway closing volume by the forced oscillations technique (CV<sub>FOT</sub>) in children and young adults with CF and relate it to the severity of lung disease. <bold>Methods:</bold> Twenty young patients with CF (age 15.9 ± 5.6 years, range 7-27 years) underwent spirometry, FOT at 5Hz, and nitrogen multiple-breath washout measurements. CV<sub>FOT</sub> was defined as the volume at which the respiratory reactance drops suddenly during a slow expiration from total lung capacity to residual volume (RV). CV<sub>FOT</sub> was expressed as % of vital capacity and related to patients' age, spirometric parameters (FEV1 and FVC), and lung clearance index (LCI). <bold>Results:</bold> The CV<sub>FOT</sub> in our cohort was 21.6 ± 6.9% (range 10.6-32.8%). There was a positive but not significant correlation between CV<sub>FOT</sub> and age (r 0.378; P=0.101), a negative correlation between CV<sub>FOT</sub> and FEV1 z-score (r –0.743; P<0.001) and between CV<sub>FOT</sub> and FVC z-score (r –0.800; P<0.001), and a positive correlation between CV<sub>FOT</sub> and LCI (r 0.688; P<0.001). We also observed a positive correlation between CV<sub>FOT</sub> and RV z-score (r 0.545; P=0.013). In a linear regression model (R2 0.582), CV<sub>FOT</sub> emerged as the only significant predictor of LCI (beta 0.611; P=0.023), independently of patients’ age and FEV1 z-score. <bold>Conclusion:</bold> CVFOT relates closely to the progression and severity of lung disease in young CF patients. This novel and easy-to-obtain FOT parameter holds promise as a simpler tool for CF monitoring.

General University Hospital of Patras (GR), Ippokrateio General Hospital of Thessaloniki (GR)
Openalex Percentile: Top 63%
Neonatal Respiratory Health Research
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