Literature DB >> 24869987

Quantification of changes in gait characteristics associated with intermittent claudication in patients with lumbar spinal stenosis.

Koutatsu Nagai1, Tomoki Aoyama, Minoru Yamada, Masanori Izeki, Shunsuke Fujibayashi, Mitsuru Takemoto, Shu Nishiguchi, Tadao Tsuboyama, Masashi Neo.   

Abstract

STUDY
DESIGN: Cross-sectional observational study.
OBJECTIVE: To quantify changes in gait characteristics associated with claudication after continuous walking, and to investigate the relationship between walking capacity and gait characteristics in patients with lumbar spinal stenosis (LSS). SUMMARY OF BACKGROUND DATA: Walking difficulty due to pain or neurological symptoms accompanied by continuous walking may have negative effects on gait characteristics in patients with LSS. However, there are few detailed reports on the association of these changes with intermittent claudication and their relationship with walking capacity.
METHODS: For this study, 11 LSS patients with intermittent claudication were recruited. The subjects continued walking until they expressed a difficulty in continuing further. Postural sway, autocorrelation peak (AC), stride frequency (SF), and coefficient of variance (CV) were analyzed using accelerometers. To detect changes in gait parameters, we compared acceleration at the start and at the end of the walking task.
RESULTS: Walking difficulty during the test increased from 4 (interquartile range, 1-5) to 9 (interquartile range, 7-10). The postural sway significantly increased after the onset of maximum walking difficulty. AC, SF, or CV did not show significant change. Maximum walking distance significantly correlated with postural sway at the cervical sensor (r=-0.64), and CV (ρ=-0.66), an index of gait variability, at the beginning of the walking task.
CONCLUSIONS: The change in gait parameters associated with claudication during continuous walking is detectable using accelerometers. Postural sway increases after the provocation of walking difficulty due to pain or neurological symptoms. In addition, walking capacity correlated with postural sway of the upper trunk and gait variability during walking initiation. This methodology warrants further studies to confirm its usefulness as an assessment tool for patients with LSS.

Entities:  

Mesh:

Year:  2014        PMID: 24869987     DOI: 10.1097/BSD.0b013e3182a2656b

Source DB:  PubMed          Journal:  J Spinal Disord Tech        ISSN: 1536-0652


  6 in total

Review 1.  Management of lumbar spinal stenosis.

Authors:  Jon Lurie; Christy Tomkins-Lane
Journal:  BMJ       Date:  2016-01-04

2.  Pain Provocation and the Energy Cost of Walking: A Matched Comparison Study of Older Adults With and Without Chronic Low Back Pain With Radiculopathy.

Authors:  Peter C Coyle; Jenifer M Pugliese; J Megan Sions; Mark S Eskander; Jennifer A Schrack; Gregory E Hicks
Journal:  J Geriatr Phys Ther       Date:  2019 Oct/Dec       Impact factor: 3.381

3.  Inter-bout and intra-bout gait variability-proposed objective measures of gait deterioration during prolonged walking in spine care.

Authors:  R Dineth Fonseka; Pragadesh Natarajan; Ralph J Mobbs
Journal:  J Spine Surg       Date:  2022-03

4.  Objectifying clinical gait assessment: using a single-point wearable sensor to quantify the spatiotemporal gait metrics of people with lumbar spinal stenosis.

Authors:  Callum Betteridge; Ralph J Mobbs; R Dineth Fonseka; Pragadesh Natarajan; Daniel Ho; Wen Jie Choy; Luke W Sy; Nina Pell
Journal:  J Spine Surg       Date:  2021-09

5.  The role of wearable devices and objective gait analysis for the assessment and monitoring of patients with lumbar spinal stenosis: systematic review.

Authors:  Ananya Chakravorty; Ralph J Mobbs; David B Anderson; Kaitlin Rooke; Kevin Phan; Nicole Yoong; Monish Maharaj; Wen Jie Choy
Journal:  BMC Musculoskelet Disord       Date:  2019-06-15       Impact factor: 2.362

6.  Proposed objective scoring algorithm for assessment and intervention recovery following surgery for lumbar spinal stenosis based on relevant gait metrics from wearable devices: the Gait Posture index (GPi).

Authors:  Ralph J Mobbs; Redmond Ross Mobbs; Wen Jie Choy
Journal:  J Spine Surg       Date:  2019-09
  6 in total

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