4.4 Article

Is an Individual Prediction of Maximal Work Rate by 6-Minute Walk Distance and Further Measurements Reliable in Male Patients with Different Lung Diseases?

期刊

RESPIRATION
卷 86, 期 5, 页码 384-392

出版社

KARGER
DOI: 10.1159/000345859

关键词

Obstructive lung disease; Restrictive lung disease; Endurance training; 6-Minute walk distance; Maximal work rate

资金

  1. DGUV, German Social Accident Insurance

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Background: In patients with chronic lung diseases, the work rate for endurance training is calculated by the maximal work rate (W-max). Because the assessment bears side effects, a prediction by easier accessible tests would be of practical use. Objective: We addressed the reliability of predicting W-max on the basis of the 6-min walk distance (6MWD) test and a set of further parameters in patients with different lung diseases. Methods: Baseline data of a longitudinal study including 6MWD, W max, peripheral muscle force, lung function, fat-free mass and dyspnea (Modified Medical Research Council score) of 255 men with occupational lung diseases (104 asthma, 69 asbestosis, 42 silicosis, 40 chronic obstructive pulmonary disease) were evaluated. Results: 6MWD correlated with W-max (r = 0.51, p < 0.05). The product of 6MWD and body weight, in particular fat-free mass, led to an improvement in the correlation of W-max with 6MWD. Muscle force, lung function and Modified Medical Research Council score correlated moderately but significantly with W-max (p < 0.05 each). The maximum correlation gained by including 6MWD and further parameters in the prediction equations was r = 0.76 in patients with obstructive lung function impairment and r = 0.61 in asbestosis patients. The residual standard deviations of W max predicted by the calculated equations ranged between 20 and 28 W, and the 95% prediction intervals of W-max ranged between +/- 47 and +/- 65 W. Conclusions: A reliable prediction of individual W-max by 6MWD or related measures and therefore a replacement by other tests is not possible. Nevertheless, it may be useful for the comparison of average values in epidemiological and clinical studies. Copyright (C) 2013 S. Karger AG, Basel

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