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Compensatory strategies are crucial
in gait rehabilitation in Parkinson's disease (PD).
However, apart from external cues, these strategies are rarely systematically studied
.
Recently, a study published in Neurology sought to explore: (1) establish patients' views on the effectiveness and usability of five different compensation strategies; (2) quantify the effectiveness of these strategies on spatiotemporal gait parameters; and (3) explore the association
between the effects of specific strategies and patient characteristics.
People with Parkinson's disease and self-reported disabling gait impairment were recruited for this laboratory-based, participant-wide study
.
Clinical indicators include: questionnaires (NFOG-Q, VMIQ-2, GMSI), cognitive assessments (ANT, MoCA, Brixton) and physical examinations (MDS-UPDRS III, MINI-BEST, TANDEM GAIT, RAPID TURN TEST).
The gait assessment consisted of six 3-minute trials of continuous walking around 6 meters of sidewalk
.
Trials include: 1) baseline gait; 2) External prompts; 3) Internal prompts; 4) Action observation; 5) motor imagination; 6) Adopt a new walking pattern
.
The gait parameters
were obtained by using the 3D motion capture analysis method.
Strategy effectiveness depends on the change in
gait variability compared to baseline gait.
Use regression analysis to explore relevant patient characteristics
.
The findings support the use of compensatory strategies for gait rehabilitation with Parkinson's disease, but emphasize the importance of
an individualized approach.
Even patients with high gait variability can improve through the application of compensatory strategies, but a certain level of cognitive and functional reserve seems necessary
to optimally benefit from it.
This study provides a third type of evidence that gait compensation strategies can be effective in helping Parkinson's patients
.
Literature source:
Tosserams A, Keijsers N, Kapelle W, et al.
Evaluation of Compensation Strategies for Gait Impairment in Patients With Parkinson Disease [published online ahead of print, 2022 Aug 25].
Neurology.
2022; 10.
1212/WNL.
0000000000201159.
doi:10.
1212/WNL.
0000000000201159
