We evaluated the predictive value of resting pulmonary function tests
(PFTs) in the determination of maximal exercise capacity in patients w
ith obstructive and restrictive ventilatory disease. We performed rest
ing PFTs and an incremental exercise study on a bicycle ergometer in 1
46 patients with chronic obstructive pulmonary disease (COPD) and 68 p
atients with restrictive disease. The patients with obstructive diseas
e were further subdivided into mild, moderate, and severe based on the
severity of their airway obstruction (mean +/- SD:FEV1, 2.78 +/- 0.77
, 2.12 +/- 0.74, and 1.06 +/- 0.47, respectively). Correlation coeffic
ients for PFTs vs VO2max and VEmax in restricted patients was generall
y low (DL = 0.67 and 0.34, IC = 0.58 and 0.35, FVC = 0.57 and 0.35, TL
C = 0.35 and 0.18). In patients with COPD, the maximum voluntary venti
lation (MVV) was the single best predictor of VO2 in all groups with c
orrelation coefficients of 0.75, 0.69, and 0.89 in the mild, moderate,
and severe subgroups, respectively. Similarly, the MW was the best pr
edictor Of VEMax in all groups with correlation coefficients of 0.59,
0.64, and 0.89 in the three subgroups. The correlation with FEV1 was s
lightly less for both VO2max (0.69, 0.65, and 0.87) and V EMax (0.52,
0.64, 0.64) in the mild, moderate, and severe subgroups, respectively.
Our findings show that PFTs are unreliable in predicting VEmax and VO
2max in restricted patients. In patients with obstruction, the MVV is
the single best predictor of VO2max and VEmax in all three categories,
but was not significantly improved by stepwise multiple regression wi
th additional PFT variables. Higher correlations were obtained in the
severe group in whom the correlation with VO2max and VEmax was 0.89. H
owever, the 95 percent confidence interval of the estimate for VO2 and
VE was relatively large (+/- 0.16 L/min and +/- 6.6 L/min, respective
ly). We conclude that although several PFTs correlate significantly wi
th maximum exercise, the large variance precludes their use to accurat
ely predict maximum performance in individual patients with COPD.