Determining the impact of supervised exercise therapy on gait variability in patients with peripheral artery disease
Advisor Information
Hafizur Rahman
Location
MBSC Ballroom - Poster #204 - U
Presentation Type
Poster
Start Date
4-3-2022 9:00 AM
End Date
4-3-2022 10:15 AM
Abstract
Determining the impact of supervised exercise therapy on gait variability in patients with peripheral artery disease
Alicia Andersen1, Hafizur Rahman1,2, Iraklis Pipinos2,3, Jason Johannning2,3, Sara Myers1,2
1Department of Biomechanics, University of Nebraska at Omaha, Omaha, NE USA
2Department of Surgery and VA Research Service, VA Nebraska-Western Iowa Health Care System, Omaha, NE USA
3Department of Surgery, University of Nebraska Medical Center, Omaha, NE USA
Presentation Preference: Poster only
Abstract
People who are affected by peripheral artery disease (PAD) experience narrowing of the arteries in their leg(s). The most common symptom in patients with PAD is intermittent claudication. Supervised exercise therapy (SET) is the first line of treatment of PAD to reduce the claudication pain and increase maximum walking distance in PAD patients. SET is a set of specific exercises given to a patient to complete in a certain time frame under the supervision of a medical professional. Previous studies have shown that patients with PAD tend to have increased amount of gait variability compared to age-matched healthy older individuals. This study will determine how gait variability alters after six months of SET in patients with PAD and whether gait variability restores similar to healthy older individuals. A total of forty-seven claudicating patients with PAD underwent for a six-month SET program. Each patient participated in a progressive treadmill test twice (before as baseline and six-months after SET program as post-exercise) while kinematics data were recorded. Joint angle time series will be calculated from kinematics data for ankle, knee, and hip joints. Gait variability will be calculated using both linear and non-linear analyses. Linear analysis includes the calculation of standard deviation and coefficient of variation. Nonlinear analysis includes the largest Lyapunov exponent and the approximate entropy. Overall, we will calculate all four outcomes (standard deviation, coefficient of variation, largest Lyapunov exponent, and approximate entropy) for ankle, knee, and hip range of motions for baseline and post-exercise conditions. The outcomes obtained from this study will identify the clinical significance of functional improvements in terms of gait variability following a six-month SET program in patients with PAD.
Scheduling Link
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Determining the impact of supervised exercise therapy on gait variability in patients with peripheral artery disease
MBSC Ballroom - Poster #204 - U
Determining the impact of supervised exercise therapy on gait variability in patients with peripheral artery disease
Alicia Andersen1, Hafizur Rahman1,2, Iraklis Pipinos2,3, Jason Johannning2,3, Sara Myers1,2
1Department of Biomechanics, University of Nebraska at Omaha, Omaha, NE USA
2Department of Surgery and VA Research Service, VA Nebraska-Western Iowa Health Care System, Omaha, NE USA
3Department of Surgery, University of Nebraska Medical Center, Omaha, NE USA
Presentation Preference: Poster only
Abstract
People who are affected by peripheral artery disease (PAD) experience narrowing of the arteries in their leg(s). The most common symptom in patients with PAD is intermittent claudication. Supervised exercise therapy (SET) is the first line of treatment of PAD to reduce the claudication pain and increase maximum walking distance in PAD patients. SET is a set of specific exercises given to a patient to complete in a certain time frame under the supervision of a medical professional. Previous studies have shown that patients with PAD tend to have increased amount of gait variability compared to age-matched healthy older individuals. This study will determine how gait variability alters after six months of SET in patients with PAD and whether gait variability restores similar to healthy older individuals. A total of forty-seven claudicating patients with PAD underwent for a six-month SET program. Each patient participated in a progressive treadmill test twice (before as baseline and six-months after SET program as post-exercise) while kinematics data were recorded. Joint angle time series will be calculated from kinematics data for ankle, knee, and hip joints. Gait variability will be calculated using both linear and non-linear analyses. Linear analysis includes the calculation of standard deviation and coefficient of variation. Nonlinear analysis includes the largest Lyapunov exponent and the approximate entropy. Overall, we will calculate all four outcomes (standard deviation, coefficient of variation, largest Lyapunov exponent, and approximate entropy) for ankle, knee, and hip range of motions for baseline and post-exercise conditions. The outcomes obtained from this study will identify the clinical significance of functional improvements in terms of gait variability following a six-month SET program in patients with PAD.