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Determination of the Lung Clearance Index (LCI) in a Paediatric Cystic Fibrosis Cohort

M Mulligan1,2, L Collins1, C P Dunne2

  • 1Paediatric Department, University Hospital Limerick (UHL), Limerick, Ireland.

Irish Medical Journal
|January 27, 2018
PubMed

Insights

The Exhalyzer D effectively measures lung ventilation inhomogeneity in children with cystic fibrosis (CF). While younger children need practice, the device shows promise for early CF lung disease monitoring.

Area of Science:

  • Pulmonary Medicine
  • Pediatric Respiratory Research
  • Medical Device Evaluation

Background:

  • Cystic Fibrosis (CF) lung disease pathogenesis can begin in infancy, necessitating early monitoring.
  • Lung ventilation inhomogeneity is a key indicator of early CF lung disease.
  • The Exhalyzer D offers a novel approach to measuring ventilation inhomogeneity across all ages.

Purpose of the Study:

  • To evaluate the performance and feasibility of the Exhalyzer D device.
  • To assess the utility of the Exhalyzer D in a pediatric cystic fibrosis clinic setting.
  • To determine the correlation between Lung Inconsistency Index (LCI) and FEV1 in pediatric CF patients.

Main Methods:

  • A prospective study involving 91 participants (68 CF patients, 23 controls).
  • Utilized the Exhalyzer D device for multiple breath washout (MBW) measurements.
  • Analyzed data for successful washout completion rates, correlation with FEV1, and learning effects.

Main Results:

  • High success rates for MBW completion in both CF patients and controls (79% and 78%, respectively).
  • A significant linear correlation was observed between LCI and FEV1.
  • Younger children (<6 years) demonstrated a learning effect, with improved technique and reduced testing time over repeated assessments.

Conclusions:

  • The Exhalyzer D is a feasible tool for assessing lung ventilation inhomogeneity in pediatric CF patients.
  • The device shows potential for monitoring early-stage CF lung disease, despite age-related performance variations.
  • Further research may optimize protocols for younger children to enhance data acquisition.

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