PREDICTING MAXIMUM OXYGEN UPTAKE (VO2max) USING A DYNAMICAL SYSTEMS MODEL IN ACUTE LEUKEMIA PATIENTS

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  • March 20, 2019
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  • McMullen, Erin
    • Affiliation: College of Arts and Sciences, Department of Exercise and Sport Science
Abstract
  • PURPOSE: To determine if a dynamical systems model can estimate VO2max using data from a CPET on a cycle ergometer in acute leukemia patients prior to treatment. METHODS: Seventeen patients performed a CPET. The VO2peak obtained during the CPET and predicted values from the dynamical systems model were compared using paired samples t-tests. RESULTS: Significant differences between VO2peak obtained during the CPET ((18.09 ± 4.89) p=.001) and dynamical systems prediction (22.45 ± 7.00 mL/kg/min) was observed. A significant correlation between the predicted and obtained values for the time series was observed (r (16) = 0.96 p <.05), while the model had a percent error of 25%. CONCLUSION: Since transient changes captured in VO2 in response to the demands placed on the equilibria of the dynamical system, the system is not subject to the same physiological CPET limitations, potentially providing a more precise VO2max determination.
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  • In Copyright
Advisor
  • Battaglini, Claudio L.
  • Mazzoleni, Michael
  • Bryant, Ashley
  • Mann, Brian
  • Shields, Edgar
Degree
  • Master of Arts
Degree granting institution
  • University of North Carolina at Chapel Hill Graduate School
Graduation year
  • 2016
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