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Determinants of Reclassification of Exercise Performance Across Cardiopulmonary Exercise Testing Prediction Equations
Faezeh Abbaspour Kaboudan1,2, Siyang Zeng2,3, Yorusaliem Abrham1,2
1Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of California, San Francisco, CA.
Different equations for predicting oxygen uptake significantly alter exercise performance classifications. This variability stems from how factors like body mass index are modeled, highlighting a need for better reference standards.
Area of Science:
- Cardiorespiratory Physiology
- Exercise Science
- Clinical Interpretation of Exercise Tests
Background:
- Peak oxygen uptake (V̇O₂peak) is crucial for assessing cardiorespiratory fitness, surgical risk, and clinical trial outcomes.
- Existing prediction equations for V̇O₂peak often yield inconsistent exercise performance classifications.
Purpose of the Study:
- To evaluate the impact of different V̇O₂peak prediction equations on exercise performance classification.
- To identify factors contributing to the variability in V̇O₂peak predictions.
Main Methods:
- Post-hoc analysis of cardiopulmonary exercise test (CPET) data from 332 participants.
- Calculated percent-predicted V̇O₂peak using seven distinct prediction equations.
- Assessed agreement across equations and identified determinants of prediction variability, including BMI, age, and sex.
Main Results:
- Mean percent-predicted V̇O₂peak varied widely (83%–113%) across equations, with reduced exercise performance prevalence ranging from 7% to 51%.
- Switching equations led to substantial recalculation of V̇O₂peak (-93% to +84%) and reclassification of exercise performance for up to 45.5% of individuals.
- Body Mass Index (BMI) was the primary determinant of prediction variability, followed by age and sex.
Conclusions:
- Discrepancies among V̇O₂peak prediction equations significantly alter exercise capacity classifications.
- Limitations in modeling demographic and anthropometric factors, especially body size, contribute to this discordance.
- There is a critical need for improved reference standards that better account for physiological variability in V̇O₂peak prediction.
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