Highlights
- •This study shows gait categorisation alongside statistical parametric mapping analysis.
- •Gait of adults with hereditary spastic paraplegia can be classified by lower limb kinematics.
- •Recognisable gait descriptors provide a way to monitor changes & inform management.
Abstract
Background
Classification of gait in adults with hereditary spastic paresis is limited. Our aim
was to use a previously established system to classify gait.
Methods
Forty-nine participants were retrospectively recruited and grouped into existing classifications
based on sagittal plane knee joint kinematic data extracted from a 3D analysis. Waveform
analysis was used to compare the grouped data to determine if and where differences
in the subjective classifications appeared.
Findings
Classification of gait patterns in adults with hereditary spastic paresis is successful.
Differences between groups in line with the classification system were confirmed by
statistical analysis. Crouch gait is illustrated by a flexed knee throughout stance
phase. Recurvatum gait is dominated by knee hyperextension in mid-late stance. Stiff-knee
gait demonstrates limited knee range of motion in stance and jump-knee gait is characterised
by less knee flexion in early and mid-stance phase than all groups. Sagittal plane
hip and ankle kinematics compliment group differences at the knee joint. The jump-knee
group is more flexed at the hip than all groups during loading response phase and
mid-stance; and the recurvatum group is more extended at the hip than the crouch,
jump-knee, and stiff-knee groups during mid and late-stance phase. There is less ankle
dorsiflexion throughout stance phase in the recurvatum group than in all other groups.
Interpretation
Sagittal plane knee joint kinematic data can be subjectively used to classify gait
features in adults with hereditary spastic paresis. Novel analysis show hip and ankle
sagittal plane kinematics can be used to further assist classification.
Keywords
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Article info
Publication history
Published online: October 08, 2022
Accepted:
October 4,
2022
Received:
March 31,
2022
Identification
Copyright
© 2022 Elsevier Ltd. All rights reserved.
