Literature DB >> 17850940

Mobility assessment of patients with facioscapulohumeral dystrophy.

M Iosa1, C Mazzà, R Frusciante, M Zok, I Aprile, E Ricci, A Cappozzo.   

Abstract

BACKGROUND: Facioscapulohumeral muscular dystrophy is the third most common form of inherited myopathies with a prevalence of 1:20,000. Since both muscle involvement and disease progression are heterogeneous and unpredictable, quantitative assessment tools are needed to evaluate the effects of pharmacological and physical training treatments.
METHODS: The instrumented movement analysis of 12 patients with facioscapulohumeral dystrophy and 12 control subjects was conducted using a 9-camera stereophotogrammetric system and 2 force platforms. Subjects performed four tasks of different difficulties: arm movement, level walking, step ascending, and squatting. Manual muscle test, clinical severity scale and magnetic resonance imaging were used to clinically assess the patients.
FINDINGS: Walking speed and centre of mass vertical displacement during squatting were reduced in patients and can be used to assess their motor capacity. Features common in the patient sample were: the reduction of shoulder range of motion, the excessive ankle plantar-flexion during walking and step ascending, and the reduction of knee flexion-extension moment during squatting. These parameters were correlated with magnetic resonance imaging results at relevant structure level and can be used to assess the corresponding body functioning. Furthermore, instrumented movement analysis was able to distinguish from normal controls also a group of patients in which clinical assessments did not show any obvious abnormalities and had been evaluated as normal.
INTERPRETATION: The quantitative assessment tool devised in this study provides suitable information in terms of both motor capacity and impairment severity of patients with facioscapulohumeral dystrophy, and, thus, encouraging its use for the evaluation of therapeutic trial outcomes for this disease.

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Year:  2007        PMID: 17850940     DOI: 10.1016/j.clinbiomech.2007.07.013

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  12 in total

Review 1.  Magnetic resonance imaging patterns of muscle involvement in genetic muscle diseases: a systematic review.

Authors:  Doris G Leung
Journal:  J Neurol       Date:  2016-11-25       Impact factor: 4.849

2.  An instrumented timed up and go in facioscapulohumeral muscular dystrophy.

Authors:  Jessie Huisinga; Adam Bruetsch; Ayla Mccalley; Melissa Currence; Laura Herbelin; Omar Jawdat; Mamatha Pasnoor; Mazen Dimachkie; Richard Barohn; Jeffrey Statland
Journal:  Muscle Nerve       Date:  2017-10-06       Impact factor: 3.217

3.  Reliable sagittal plane kinematic gait assessments are feasible using low-cost webcam technology.

Authors:  Robert J Saner; Edward P Washabaugh; Chandramouli Krishnan
Journal:  Gait Posture       Date:  2017-04-30       Impact factor: 2.840

4.  Facioscapulohumeral muscular dystrophy functional composite outcome measure.

Authors:  Katy Eichinger; Chad Heatwole; Stanley Iyadurai; Wendy King; Lindsay Baker; Susanne Heininger; Amy Bartlett; Nuran Dilek; William B Martens; Michael Mcdermott; John T Kissel; Rabi Tawil; Jeffrey M Statland
Journal:  Muscle Nerve       Date:  2018-01-30       Impact factor: 3.217

5.  Reliability of instrumented movement analysis as outcome measure in Charcot-Marie-Tooth disease: results from a multitask locomotor protocol.

Authors:  M Ferrarin; G Bovi; M Rabuffetti; P Mazzoleni; A Montesano; I Moroni; E Pagliano; A Marchi; C Marchesi; E Beghi; D Pareyson
Journal:  Gait Posture       Date:  2011-04-21       Impact factor: 2.840

Review 6.  Promising Perspective to Facioscapulohumeral Muscular Dystrophy Treatment: Nutraceuticals and Phytochemicals.

Authors:  Ceren Hangül; Sibel Berker Karaüzüm; Esra Küpeli Akkol; Devrim Demir-Dora; Zafer Çetin; Eyüp İlker Saygılı; Gökhan Evcili; Eduardo Sobarzo-Sánchez
Journal:  Curr Neuropharmacol       Date:  2021       Impact factor: 7.708

7.  Assessment of waveform similarity in clinical gait data: the linear fit method.

Authors:  M Iosa; A Cereatti; A Merlo; I Campanini; S Paolucci; A Cappozzo
Journal:  Biomed Res Int       Date:  2014-07-13       Impact factor: 3.411

8.  Stability and Harmony of Gait in Patients with Subacute Stroke.

Authors:  Marco Iosa; Fabiano Bini; Franco Marinozzi; Augusto Fusco; Giovanni Morone; Giacomo Koch; Alex Martino Cinnera; Sonia Bonnì; Stefano Paolucci
Journal:  J Med Biol Eng       Date:  2016-10-07       Impact factor: 1.553

9.  The golden ratio of gait harmony: repetitive proportions of repetitive gait phases.

Authors:  Marco Iosa; Augusto Fusco; Fabio Marchetti; Giovanni Morone; Carlo Caltagirone; Stefano Paolucci; Antonella Peppe
Journal:  Biomed Res Int       Date:  2013-06-04       Impact factor: 3.411

10.  Seven capital devices for the future of stroke rehabilitation.

Authors:  M Iosa; G Morone; A Fusco; M Bragoni; P Coiro; M Multari; V Venturiero; D De Angelis; L Pratesi; S Paolucci
Journal:  Stroke Res Treat       Date:  2012-12-13
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