Authors
Clément Leveque, Sigrid Theunissen, Mikel Ezquer, Elise Hayot, Kate Lambrechts, Costantino Balestra
Published in
Spinal cord. Jul 18, 2026. Epub Jul 18, 2026.
Abstract
Methodological cross-sectional validation study with external validation.
To develop and externally validate the Infinity Test, a 3-min all-out field protocol performed in the participant's own wheelchair with enforced synchronous propulsion, designed to estimate peak oxygen uptake (VO₂peak) in manual wheelchair users with chronic paraplegia.
Environmental, Occupational, Aging (Integrative) Physiology Laboratory, Haute École Bruxelles-Brabant (HE2B), Brussels, Belgium.
Seventeen manual wheelchair users with chronic paraplegia completed both the Infinity Test and a laboratory arm-crank graded exercise test in counterbalanced order (development cohort). An independent cohort of 11 participants completed the Infinity Test only (external validation cohort). Breath-by-breath VO₂ was measured using a validated portable metabolimeter. Laps·min-1 were derived from manual lap counting using standardized rounding rules and converted to predicted VO₂peak via a linear no-intercept model. Agreement with laboratory VO₂peakErgo was assessed using ICC, Bland-Altman analysis, Passing-Bablok regression, and ordinary least-products regression. Internal validity was evaluated using leave-one-out cross-validation; external validity via correlation and mean absolute error (MAE).
Infinity Test VO₂peak∞ did not differ from laboratory VO₂peakErgo (mean bias + 25 mL·min-1, 95% CI-360 to + 410; p = 0.89; ICC = 0.89, 95% CI 0.73-0.96). No fixed or proportional bias was detected. The no-intercept equation (VO₂peak∞ = 461 × laps·min-1) explained 61% of variance in the development cohort (SEE = 517 mL·min-1). External validation showed R² = 0.70 and MAE = 322 mL·min-1 (14.8% of the mean). The protocol was well tolerated and completed in < 5 min including setup.
The Infinity Test provides a feasible and ecologically valid field protocol for estimating VO₂peak in individuals with paraplegia. Its combination of predictive accuracy, operational simplicity, and use of personal wheelchairs, together with an open-source digital toolkit (interactive nomogram and automated clinical reporting), may support its integration into rehabilitation, high-performance, and community-based practice.
PMID:
42471492
Bibliographic data and abstract were imported from PubMed on 19 Jul 2026.
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