Predicting the need for supplemental oxygen during airline flight in patients with chronic pulmonary disease: a comparison of predictive equations and altitude simulation.
BACKGROUND
Patients with chronic pulmonary diseases are at increased risk of hypoxemia when travelling by air. Screening guidelines, predictive equations based on ground level measurements and altitude simulation laboratory procedures have been recommended for determining risk but have not been rigorously evaluated and compared.


OBJECTIVE
To determine the adequacy of screening recommendations that identify patients at risk of hypoxemia at altitude, to evaluate the specificity and sensitivity of published predictive equations, and to analyze other possible predictors of the need for in-flight oxygen.


METHODS
The charts of 27 consecutive eligible patients referred for hypoxia altitude simulation testing before flight were reviewed. Patients breathed a fraction of inspired oxygen of 0.15 for 20 min. This patient population was compared with the screening recommendations made by six official bodies and compared the partial pressure of arterial oxygen (PaO(2)) obtained during altitude simulation with the PaO(2) predicted by 16 published predictive equations.


RESULTS
Of the 27 subjects, 25% to 33% who were predicted to maintain adequate oxygenation in flight by the British Thoracic Society, Aerospace Medical Association or American Thoracic Society guidelines became hypoxemic during altitude simulation. The 16 predictive equations were markedly inaccurate in predicting the PaO(2) measured during altitude simulation; only one had a positive predictive value of greater than 30%. Regression analysis identified PaO(2) at ground level (r=0.50; P=0.009), diffusion capacity (r=0.56; P=0.05) and per cent forced expiratory volume in 1 s (r=0.57; P=0.009) as having predictive value for hypoxia at altitude.


CONCLUSIONS
Current screening recommendations for determining which patients require formal assessment of oxygen during flight are inadequate. Predictive equations based on sea level variables provide poor estimates of PaO(2) measured during altitude simulation.
Bradi
Ana C
AC
University Health Network, Toronto Western Hospital, Toronto, Ontario.
Faughnan
Marie E
ME
Stanbrook
Matthew B
MB
Deschenes-Leek
Eva
E
Chapman
Kenneth R
KR
D000337:Aerospace Medicine; D000368:Aged; D000369:Aged, 80 and over; D000401:Aircraft; D000531:Altitude; D005260:Female; D006801:Humans; D000860:Hypoxia / Q000097:blood / Q000209:etiology / Q000517:prevention & control*; D008297:Male; D008403:Mass Screening; D008875:Middle Aged; D008954:Models, Biological; D010100:Oxygen / Q000008:administration & dosage / Q000097:blood*; D011237:Predictive Value of Tests; D029424:Pulmonary Disease, Chronic Obstructive / Q000097:blood / Q000150:complications*; D012129:Respiratory Function Tests; D012189:Retrospective Studies; D014195:Travel
D010100:Oxygen
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