Discord of prediction equations in assessment of exercise intolerance

<bold>Rationale:</bold> Peak oxygen uptake (<bold>VO<sub>2Peak</sub></bold>) reflects a person’s cardiopulmonary oxygen carrying capacity and assists in the clinical evaluation of their respiratory symptoms. The concordance of the different reference equations used for rating of exercise tolerance is unclear. <bold>Objective:</bold> To examine the impact of reference equation selection on classifying exercise tolerance. <bold>Methods:</bold> We examined VO<sub>2Peak</sub> in 245 never-smokers with remote history of occupational secondhand smoke exposure (Zeng; BMJ Open Respir Res 2022). Predicted VO<sub>2Peak</sub> were calculated using 5 reference equations; VO<sub>2Peak</sub> <80 %predicted was used to define exercise intolerance. Agreement in exercise tolerance classifications was measured by Cohen’s Kappa, and the associations of VO<sub>2Peak</sub> %predicted values with dyspnea score (by mMRC) were examined via logistic regression and ROC analysis. <bold>Results:</bold> %predicted VO<sub>2Peak</sub> varied significantly as did the % of subjects with exercise intolerance (<bold>Table</bold>). The agreement between exercise intolerance classifications varied from moderate to near perfect (κ=0.51 to 0.83). There were significant reclassifications ranging from 6 to 22% in both directions combined, resulting from -35 to 70% change in VO<sub>2Peak</sub> %predicted. The predicted VO<sub>2Peak</sub> were associated with mMRC≥1 with the AUC ranging from 0.63 to 0.74. <bold>Discussion:</bold> Use of different reference equations sizably reclassifies exercise tolerance in both directions and affects the interpretation of symptoms. <fig><object-id>erj;64/suppl_68/PA2605/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>

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Published
2024-09-14
DOI
https://doi.org/10.1183/13993003.congress-2024.pa2605
Primary Topic
Body Composition Measurement Techniques
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article

Discord of prediction equations in assessment of exercise intolerance

Siyang Zeng, Gang Luo, Mehrdad Arjomandi, Irene Lin
Body Composition Measurement Techniques
article

Discord of prediction equations in assessment of exercise intolerance

Siyang Zeng, Gang Luo, Mehrdad Arjomandi, Irene Lin
article en

Abstract

<bold>Rationale:</bold> Peak oxygen uptake (<bold>VO<sub>2Peak</sub></bold>) reflects a person’s cardiopulmonary oxygen carrying capacity and assists in the clinical evaluation of their respiratory symptoms. The concordance of the different reference equations used for rating of exercise tolerance is unclear. <bold>Objective:</bold> To examine the impact of reference equation selection on classifying exercise tolerance. <bold>Methods:</bold> We examined VO<sub>2Peak</sub> in 245 never-smokers with remote history of occupational secondhand smoke exposure (Zeng; BMJ Open Respir Res 2022). Predicted VO<sub>2Peak</sub> were calculated using 5 reference equations; VO<sub>2Peak</sub> <80 %predicted was used to define exercise intolerance. Agreement in exercise tolerance classifications was measured by Cohen’s Kappa, and the associations of VO<sub>2Peak</sub> %predicted values with dyspnea score (by mMRC) were examined via logistic regression and ROC analysis. <bold>Results:</bold> %predicted VO<sub>2Peak</sub> varied significantly as did the % of subjects with exercise intolerance (<bold>Table</bold>). The agreement between exercise intolerance classifications varied from moderate to near perfect (κ=0.51 to 0.83). There were significant reclassifications ranging from 6 to 22% in both directions combined, resulting from -35 to 70% change in VO<sub>2Peak</sub> %predicted. The predicted VO<sub>2Peak</sub> were associated with mMRC≥1 with the AUC ranging from 0.63 to 0.74. <bold>Discussion:</bold> Use of different reference equations sizably reclassifies exercise tolerance in both directions and affects the interpretation of symptoms. <fig><object-id>erj;64/suppl_68/PA2605/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>

San Francisco VA Health Care System (US), Seattle University (US)
Openalex Percentile: Top 72%
Body Composition Measurement Techniques
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