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Predicting hypoxaemia during flights in children with cystic fibrosis

R M Buchdahl1, A Babiker, A Bush

  • 1Royal Brompton & Harefield NHS Trust, Sydney Street, London SW3 6NP, UK. rbuc@easynet.co.uk

Thorax
|October 20, 2001
PubMed

Insights

Predicting in-flight oxygen desaturation in children with cystic fibrosis is crucial. Spirometry testing before travel proved more effective than a hypoxic challenge for identifying children at risk of desaturation.

Area of Science:

  • Pediatric Pulmonology
  • Aerospace Medicine
  • Respiratory Physiology

Background:

  • Children with cystic fibrosis and chronic lung disease are at risk of oxygen desaturation during flights.
  • Previous research suggested a pre-flight hypoxic challenge could predict desaturation.
  • This study evaluated the predictive value of this challenge over five years.

Purpose of the Study:

  • To compare the efficacy of a pre-flight hypoxic challenge versus spirometry in predicting in-flight oxygen desaturation in pediatric cystic fibrosis patients.
  • To assess the sensitivity and specificity of both methods.

Main Methods:

  • Eighty-seven children with cystic fibrosis underwent a pre-flight hypoxic challenge (15% oxygen inhalation) and spirometry.
  • Oxygen saturation (SpO2) was monitored during tidal breathing and intercontinental flights.
  • Spirometry included forced expiratory volume in 1 second (FEV1) measurements.

Main Results:

  • Ten children experienced desaturation (<90% SpO2) during flight; three required oxygen.
  • The hypoxic challenge predicted desaturation in only 20% of cases (sensitivity 20%, specificity 99%).
  • Spirometry predicted desaturation with higher sensitivity (70%) and good specificity (96%), showing a superior area under the ROC curve (0.89 vs. 0.73).

Conclusions:

  • Pre-flight spirometric testing is a more reliable predictor of in-flight oxygen desaturation in children with cystic fibrosis compared to the hypoxic challenge.
  • Spirometry offers a better risk assessment for air travel in this patient population.
Abstract

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