Validity of Oxygen Uptake Efficiency Slope in patients with multiple sclerosis
            
                Martin Heine, Olaf Verschuren, Gert Kwakkel
                                DOI: 10.2340/16501977-1825                
                                
   
            Abstract
            
                Objective: To examine the Oxygen Uptake Efficiency Slope (OUES) as an outcome for physical fitness in patients with multiple sclerosis. 
Design: Cross-sectional study. 
Patients: A maximal cycling ergometry test was performed by 56 patients with multiple sclerosis. 
Methods: The OUES was compared with healthy reference values. Correlation analysis was used to assess the concurrent validity of the OUES and the following commonly used parameters of maximal exercise testing: maximal power output (Wmax) and peak oxygen consumption (VO2peak). The predictive validity of a submaximal OUES, derived using only 50% of the exercise duration (OUES50), and an OUES derived using the full exercise duration (OUES) were determined. 
Results: The OUES (mean 24. 2 (standard deviation; SD 7. 2)) was markedly lower than previously reported healthy reference values (mean 46. 0 (SD 9. 0)). Pearson correlation coefficients ranged from 0. 514 (p < 0. 01) between the OUES and Wmax and 0. 857 for VO2peak (p < 0. 01). The predictive validity of OUES50 for OUES was 0. 918 (p < 0. 01). 
Conclusion: The moderate to high concurrent validity of the OUES with Wmax and VO2peak and high predictive validity of OUES50 for OUES suggest that maximal exercise testing in patients with low to moderate multiple sclerosis is not necessary.             
            
                        Lay Abstract
            
                            
            
                        
            Comments
            
                
                               
                
                
  Do you want to comment on this paper? The comments will show up here and if appropriate the comments will also separately be forwarded to the authors. You need to login/create an account to comment on articles. Click here to 
login/create an account.