Literature DB >> 31446333

Utilizing three dimensional clinical gait analysis to optimize mobility outcomes in incomplete spinal cord damage.

Anna T Murphy1, Stella Kravtsov2, Morgan Sangeux3, Barry Rawicki4, Peter W New5.   

Abstract

BACKGROUND: Three-dimensional gait analysis (3DGA) has not previously been considered by consensus panels of spinal cord experts for use in studies of patients with spinal cord damage (SCD), yet it is frequently used in other neurological populations, such as stroke and cerebral palsy. RESEARCH QUESTION: How does 3DGA impairment based reporting guide individualised clinical decision-making in people with incomplete SCD?
METHODS: Retrospective open cohort case series recruited 48 adults with incomplete SCD (traumatic or non-traumatic spinal cord dysfunction) referred to the Clinical Gait Analysis Service (CGAS), Melbourne, Australia. Three-dimensional gait data were used to identify gait impairments by the multidisciplinary clinical team. Gait patterns were classified using the plantarflexor-knee extension couple index and the Gait Profile Score (GPS). The reason for referral and the recommendations made post-3DGA were collated in decision trees to extrapolate the potential value of 3DGA in decision making for targeted intervention in this population.
RESULTS: Participants with SCD generally walked at a reduced gait speed. When grouped by neurological level, the tetraplegia group had a significantly lower GPS, but no specific gait patterns emerged. Participants were primarily referred to the CGAS to direct clinical intervention decisions. The most frequent recommendation following 3DGA was the prescription of an ankle foot orthosis and in some cases, the recommendation was incongruent with the referrer's proposed intervention. SIGNIFICANCE: 3DGA can provide specific guidance in management plans for gait of patients with incomplete SCD and may help to avoid inappropriate or unnecessary interventions. This sample of patients referred to the CGAS demonstrates its clinical utility in guiding clinicians in their decision making to target individualised intervention.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gait analysis; Gait disorders; Neurology; Rehabilitation; Spinal cord diseases

Mesh:

Year:  2019        PMID: 31446333     DOI: 10.1016/j.gaitpost.2019.08.001

Source DB:  PubMed          Journal:  Gait Posture        ISSN: 0966-6362            Impact factor:   2.840


  4 in total

1.  Gait Characteristics in Youth With Transverse Myelitis.

Authors:  Miriam Hwang; Ann Flanagan; Adam Graf; Karen M Kruger; Nancy Scullion; Samantha Tayne; Haluk Altiok
Journal:  Top Spinal Cord Inj Rehabil       Date:  2021-08-13

2.  Application of the Gait Deviation Index to Study Gait Impairment in Adult Population With Spinal Cord Injury: Comparison With the Walking Index for Spinal Cord Injury Levels.

Authors:  Isabel Sinovas-Alonso; Diana Herrera-Valenzuela; Roberto Cano-de-la-Cuerda; Ana de Los Reyes-Guzmán; Antonio J Del-Ama; Ángel Gil-Agudo
Journal:  Front Hum Neurosci       Date:  2022-04-04       Impact factor: 3.473

3.  Derivation of the Gait Deviation Index for Spinal Cord Injury.

Authors:  Diana Herrera-Valenzuela; Isabel Sinovas-Alonso; Juan C Moreno; Ángel Gil-Agudo; Antonio J Del-Ama
Journal:  Front Bioeng Biotechnol       Date:  2022-07-06

4.  Three dimensional analysis of hip joint reaction force using Q Hip Force (AQHF) software: Implication as a diagnostic tool.

Authors:  Amany Eid Abd El-Tawab; Aisha Farhana
Journal:  PLoS One       Date:  2022-09-26       Impact factor: 3.752

  4 in total

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