Literature DB >> 11151415

Assessment of gait in subcortical vascular encephalopathy by computerized analysis: a cross-sectional and longitudinal study.

H Bäzner1, M Oster, M Daffertshofer, M Hennerici.   

Abstract

In subcortical vascular encephalopathy (SVE) gait disturbance is a common and early clinical sign which might be used to monitor disease progression. In the absence of reliable scales and with regard to the equivocal results of highly complex gait imaging devices we assessed the natural course of SVE in a prospective study, using a new straight forward technique to quantify and compare sequential gait studies. We report the results of 300 computerized gait analyses in 119 patients with SVE and 63 age-matched controls. Thirty-nine SVE patients were re-evaluated to monitor the natural course of the disease and to study the correlation of gait disturbances with MRI changes and neuropsychological findings. The system consists of a set of shoes containing 16 load sensors and a measuring-unit reading each sensor at 20-ms intervals. By off-line analysis we graded each recording on a Gait Disorder Score (GDS) with six variables indicating gait steadiness: step frequency, length of gait lines (which represent the movement of the centre of gravity during heel to toe movement), length of single support lines, variability of single and of double support lines, and double support time. In cross-sectional analysis, patients with SVE showed cadence (steps/min) to be reduced at 87.3 +/- 19.5 (96.4 +/- 7.8 in controls, P < 0.05). Length of gait lines was significantly less: 0.70 +/- 0.13 vs. 0.80 +/- 0.05 in controls, with length of single support gait lines reduced at 0.42 +/- 0.14 in SVE (0.58 +/- 0.06 in controls, P < 0.05). Variability of both single support lines (5.69 +/- 1.90%; 4.24 +/- 1.07% in controls, P < 0.05) and double support lines was elevated (3.59 +/- 1.62% vs. 2.54 +/- 0.59%), while duration of double support phases was increased (0.19 +/- 0.10 s vs. 0.13 +/- 0.02 s in controls, P < 0.05). The progressive character of the disease was demonstrated by increasing GDS values in 39 SVE patients with a frontal gait disorder who were re-investigated after a mean interval of 26 months (5.4 +/- 4.5 vs. 8.4 +/- 5.5, P < 0.05). This study shows the value of a new and practicable gait analysis system for the evaluation of gait disorders and it quantifies the deterioration of gait in SVE patients.

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Mesh:

Year:  2000        PMID: 11151415     DOI: 10.1007/s004150070070

Source DB:  PubMed          Journal:  J Neurol        ISSN: 0340-5354            Impact factor:   4.849


  19 in total

Review 1.  An updated diagnostic approach to subtype definition of vascular parkinsonism - Recommendations from an expert working group.

Authors:  Ivan Rektor; Nicolaas I Bohnen; Amos D Korczyn; Viktoria Gryb; Hrishikesh Kumar; Milica G Kramberger; Frank-Erik de Leeuw; Zvezdan Pirtošek; Irena Rektorová; Ilana Schlesinger; Jaroslaw Slawek; Peter Valkovič; Branislav Veselý
Journal:  Parkinsonism Relat Disord       Date:  2017-12-29       Impact factor: 4.891

2.  Gait asymmetry in patients with Parkinson's disease and elderly fallers: when does the bilateral coordination of gait require attention?

Authors:  Galit Yogev; Meir Plotnik; Chava Peretz; Nir Giladi; Jeffrey M Hausdorff
Journal:  Exp Brain Res       Date:  2007-03       Impact factor: 1.972

3.  [Gait disturbances in neurology].

Authors:  H Stolze; P Vieregge; G Deuschl
Journal:  Nervenarzt       Date:  2008-04       Impact factor: 1.214

4.  [A biomechanical analysis of cyclical hand motor function: a pilot study in different Parkinsonian syndromes].

Authors:  T Wolfsegger; I Rotaru; R Topakian; R Pichler; M Sonnberger; F T Aichner; H Schwameder
Journal:  Nervenarzt       Date:  2012-06       Impact factor: 1.214

5.  Neurovascular coupling is impaired in slow walkers: the MOBILIZE Boston Study.

Authors:  Farzaneh A Sorond; Dan K Kiely; Andrew Galica; Nicola Moscufo; Jorge M Serrador; Ike Iloputaife; Svetlana Egorova; Elisa Dell'Oglio; Dominik S Meier; Elizabeth Newton; William P Milberg; Charles R G Guttmann; Lewis A Lipsitz
Journal:  Ann Neurol       Date:  2011-06-14       Impact factor: 10.422

6.  Association between gait features assessed by artificial intelligent system and cognitive function decline in patients with silent cerebrovascular disease: study protocol of a multicenter prospective cohort study (ACCURATE-2).

Authors:  Yan-Min Tang; Bei-Ni Fei; Xin Li; Jin Zhao; Wei Zhang; Guo-You Qin; Min Hu; Jing Ding; Xin Wang
Journal:  BMC Neurol       Date:  2022-06-30       Impact factor: 2.903

7.  Fluctuation and synchronization of gait intervals and gait force profiles distinguish stages of Parkinson's disease.

Authors:  Ronny Bartsch; Meir Plotnik; Jan W Kantelhardt; Shlomo Havlin; Nir Giladi; Jeffrey M Hausdorff
Journal:  Physica A       Date:  2007-09-15       Impact factor: 3.263

8.  Retinal microvascular signs and functional loss in older persons: the cardiovascular health study.

Authors:  Dae Hyun Kim; Anne B Newman; Ihab Hajjar; Elsa S Strotmeyer; Ronald Klein; Elizabeth Newton; Mark J Sarnak; Gregory L Burke; Lewis A Lipsitz
Journal:  Stroke       Date:  2011-04-14       Impact factor: 7.914

9.  Motor dysfunction correlates with frontal white matter ischemic changes in patients with leukoaraiosis.

Authors:  Miguel Viana-Baptista; Paulo Bugalho; Constança Jordão; Olga Ribeiro; José António Esperança-Pina; José Ferro
Journal:  J Aging Res       Date:  2011-05-15

10.  Expressing gait-line symmetry in able-bodied gait.

Authors:  Piotr Jeleń; Andrzej Wit; Krzysztof Dudziński; Lee Nolan
Journal:  Dyn Med       Date:  2008-12-19
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