Michael J Berry1, Norman E Adair, W Jack Rejeski. 1. Department of Health and Exercise Science, PO Box 7868, Wake Forest University, Winston-Salem, NC 27109-7868, USA. berry@wfu.edu
Abstract
OBJECTIVE: To determine whether peak oxygen consumption (Vo(2)peak) adds to the power of FEV(1) in predicting physical function and quality of life in COPD patients. DESIGN: Single-center cross-sectional study. METHODS: Subjects included 291 COPD patients who completed pulmonary function testing, a graded exercise test, a 6-min walk, and stair climb test to assess physical function; a questionnaire assessing self-reported physical function; and a disease-specific, health-related quality-of-life questionnaire. Hierarchical multiple regression analysis was used to determine the contribution of Vo(2)peak in predicting physical function and quality of life after accounting for FEV(1). RESULTS: After accounting for FEV(1), Vo(2)peak added significantly to the prediction of 6-min walk distance (R(2) increased by 0.395 [p < 0.005]); stair climb time (R(2) increased by 0.262 [p < 0.005]); self-reported function (R(2) increased by 0.109 [p < 0.005]); and health-related quality-of-life domain of mastery (R(2) increased by 0.044 [p < 0.005]). Only Vo(2)peak was found to significantly predict the health-related quality-of-life domain of fatigue (R(2) = 0.094 [p < 0.005]). CONCLUSION: After controlling for FEV(1), Vo(2)peak adds significantly to the prediction of physical function and health-related quality-of-life domain of mastery in COPD patients. These results provide additional support for the use of Vo(2)peak in the multidimensional assessment of COPD patients.
OBJECTIVE: To determine whether peak oxygen consumption (Vo(2)peak) adds to the power of FEV(1) in predicting physical function and quality of life in COPDpatients. DESIGN: Single-center cross-sectional study. METHODS: Subjects included 291 COPDpatients who completed pulmonary function testing, a graded exercise test, a 6-min walk, and stair climb test to assess physical function; a questionnaire assessing self-reported physical function; and a disease-specific, health-related quality-of-life questionnaire. Hierarchical multiple regression analysis was used to determine the contribution of Vo(2)peak in predicting physical function and quality of life after accounting for FEV(1). RESULTS: After accounting for FEV(1), Vo(2)peak added significantly to the prediction of 6-min walk distance (R(2) increased by 0.395 [p < 0.005]); stair climb time (R(2) increased by 0.262 [p < 0.005]); self-reported function (R(2) increased by 0.109 [p < 0.005]); and health-related quality-of-life domain of mastery (R(2) increased by 0.044 [p < 0.005]). Only Vo(2)peak was found to significantly predict the health-related quality-of-life domain of fatigue (R(2) = 0.094 [p < 0.005]). CONCLUSION: After controlling for FEV(1), Vo(2)peak adds significantly to the prediction of physical function and health-related quality-of-life domain of mastery in COPDpatients. These results provide additional support for the use of Vo(2)peak in the multidimensional assessment of COPDpatients.
Authors: Michael J Berry; W Jack Rejeski; Michael E Miller; Norman E Adair; Wei Lang; Capri G Foy; Jeffrey A Katula Journal: Respir Med Date: 2010-03-26 Impact factor: 3.415