RT Journal Article
SR Electronic
T1 Association of 6-minute walk distance and maximal work capacity assessed by ergometry in patients with obstructive and restrictive lung diseases
JF European Respiratory Journal
JO Eur Respir J
FD European Respiratory Society
SP P4438
VO 40
IS Suppl 56
A1 Uta Ochmann
A1 Nicola Kotschy-Lang
A1 Wolfgang Raab
A1 Jessica Kellberger
A1 Dennis Nowak
A1 Rudolf Jörres
YR 2012
UL http://erj.ersjournals.com/content/40/Suppl_56/P4438.abstract
AB Background and ObjectiveIn patients with chronic lung diseases work load for endurance training is calculated from maximal load. If this is not known, it might be predicted on the basis of 6-minute walk distance (6MWD). We addressed the reliability of such prediction.MethodsWithin a longitudinal clinical study on the efficacy of rehabilitation, baseline data including 6MWD, maximal work load (Wmax), peripheral muscle force, lung function, fat-free mass (FFM) and dyspnoea (MMRC score) of 255 men with occupational lung diseases (asthma, asbestosis, silicosis, COPD) were evaluated.Results6MWD (mean 502m, SD 92m) correlated (r=0.51, p<0.05) with Wmax (mean 112Watt, SD 35Watt), without systematic differences between asthma, silicosis and COPD. The asbestosis group was evaluated separately since the regression line was different. Muscle force, lung function parameters and MMRC score correlated moderately with Wmax (p<0.05 each). Including all statistically significant predictors the correlation was r=0.76 in patients with obstructive lung function impairment and r=0.61 in asbestosis patients. The residual standard deviations of predicted Wmax were 20-28 Watt, depending on the predictors used, and the 95% prediction intervals of Wmax based on the predictor 6MWD 47-65 Watt.ConclusionsCompared to literature data we observed weaker correlations indicating that a sufficiently reliable prediction of individual Wmax by 6MWD or related measures is not possible. Despite this, the regression lines based on a large sample of subjects might be useful for the comparison of epidemiological studies.