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Predicting the rate of oxygen consumption during the 3-minute constant-rate stair stepping and shuttle tests in people with chronic obstructive pulmonary disease
BACKGROUND: The 3-minute constant-rate stair stepping (3-min CRSST) and constant-speed shuttle tests (3-min CSST) were developed to assess breathlessness in response to a standardized exercise stimulus. Estimating the rate of oxygen consumption (V’O(2)) during these tests would assist clinicians to...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7330369/ https://www.ncbi.nlm.nih.gov/pubmed/32642156 http://dx.doi.org/10.21037/jtd.2020.03.13 |
Sumario: | BACKGROUND: The 3-minute constant-rate stair stepping (3-min CRSST) and constant-speed shuttle tests (3-min CSST) were developed to assess breathlessness in response to a standardized exercise stimulus. Estimating the rate of oxygen consumption (V’O(2)) during these tests would assist clinicians to relate the stepping/shuttle speeds that elicit breathlessness to daily physical activities with a similar metabolic demand. This study: (I) developed equations to estimate the V’O(2) of these tests in people with chronic obstructive pulmonary disease (COPD); and (II) compared the newly developed and American College of Sports Medicine (ACSM) metabolic equations for estimating the V’O(2) of these tests. METHODS: This study was a retrospective analysis of people with COPD who completed a 3-min CRSST (n=98) or 3-min CSST (n=69). Multivariate linear regression estimated predictors (alpha <0.05) of V’O(2) to construct COPD-specific metabolic equations. The mean squared error (MSE) of the COPD-specific and ACSM equations was calculated and compared. Bland-Altman analyses evaluated level of agreement between measured and predicted V’O(2) using each equation; limits of agreement (LoA) and patterns of bias were compared. RESULTS: Stepping rate/shuttle speed and body mass were identified as significant predictors of V’O(2). The MSE of the COPD-specific equations was 0.05 L·min(−1) for both tests. Mean difference between measured and predicted V’O(2) was 0.00 L·min(−1) (95% LoA −0.46, 0.46) and 0.00 L·min(−1) (95% LoA −0.44, 0.44) for the 3-min CRSST and 3-min CSST, respectively. For the ACSM metabolic equations, the MSE was 0.10 L·min(−1) and 0.18 L·min(−1) for the 3-min CRSST and 3-min CSST, respectively. The ACSM metabolic equations underestimated V’O(2) of the 3-min CRSST by −0.18 L·min(−1) (95% LoA −0.68, 0.32), and overestimated V’O(2) of the 3-min CSST by 0.35 L·min(−1) (95% LoA −0.14, 0.84). CONCLUSIONS: This study presents metabolic equations to predict V’O2 of the 3-min CRSST and 3-min CSST for people with COPD that are more accurate than the ACSM metabolic equations. |
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