Turning and sit-to-walk measures from the instrumented Timed Up and Go test return valid and responsive measures of dynamic balance in Parkinson's disease.


Journal

Clinical biomechanics (Bristol, Avon)
ISSN: 1879-1271
Titre abrégé: Clin Biomech (Bristol, Avon)
Pays: England
ID NLM: 8611877

Informations de publication

Date de publication:
12 2020
Historique:
received: 28 02 2020
revised: 28 06 2020
accepted: 09 09 2020
pubmed: 27 9 2020
medline: 24 4 2021
entrez: 26 9 2020
Statut: ppublish

Résumé

Balance impairment is a hallmark of Parkinson's disease with dramatic effects for patients (e.g. falls). Its assessment is thus of paramount importance. The aim of this work is to assess which measures from the instrumented Timed Up and Go test (recorded with inertial sensors) are valid balance measures in Parkinson's disease and evaluate their responsiveness to rehabilitation. The Mini-BESTest (a criterion-standard balance measure) and the instrumented Timed Up and Go test (with inertial sensors secured to the trunk) were administered to 20 Parkinson's disease patients before and after inpatient rehabilitation (median [IQR]; 76.5 [8.25] years; 5 females; Hoehn and Yahr stage: 2.5 [0.5]). 81 parameters from the instrumented Timed Up and Go test were evaluated. Multiple factor analysis (a variant of principal component analysis for repeated measurements) and effect sizes were used to assess validity and responsiveness, respectively. Only the first component of the multiple factor analysis correlated with the Mini-BESTest, and 21 measures from the instrumented Timed Up and Go test had large loadings on this component. However, only three of these 21 measures also directly correlated with the Mini-BESTest (trunk angular velocities from sit-to-walk and turning; r = 0.46 to 0.50, P = 0.021 to 0.038). Sit-to-walk angular velocity showed greater responsiveness than the Mini-BESTest, while turning showed slightly less. Angular velocities from the turning and sit-to-walk phases of the Timed Up and Go test are valid balance measures in Parkinson's disease and are also responsive to rehabilitation.

Sections du résumé

BACKGROUND
Balance impairment is a hallmark of Parkinson's disease with dramatic effects for patients (e.g. falls). Its assessment is thus of paramount importance. The aim of this work is to assess which measures from the instrumented Timed Up and Go test (recorded with inertial sensors) are valid balance measures in Parkinson's disease and evaluate their responsiveness to rehabilitation.
METHODS
The Mini-BESTest (a criterion-standard balance measure) and the instrumented Timed Up and Go test (with inertial sensors secured to the trunk) were administered to 20 Parkinson's disease patients before and after inpatient rehabilitation (median [IQR]; 76.5 [8.25] years; 5 females; Hoehn and Yahr stage: 2.5 [0.5]). 81 parameters from the instrumented Timed Up and Go test were evaluated. Multiple factor analysis (a variant of principal component analysis for repeated measurements) and effect sizes were used to assess validity and responsiveness, respectively.
FINDINGS
Only the first component of the multiple factor analysis correlated with the Mini-BESTest, and 21 measures from the instrumented Timed Up and Go test had large loadings on this component. However, only three of these 21 measures also directly correlated with the Mini-BESTest (trunk angular velocities from sit-to-walk and turning; r = 0.46 to 0.50, P = 0.021 to 0.038). Sit-to-walk angular velocity showed greater responsiveness than the Mini-BESTest, while turning showed slightly less.
INTERPRETATION
Angular velocities from the turning and sit-to-walk phases of the Timed Up and Go test are valid balance measures in Parkinson's disease and are also responsive to rehabilitation.

Identifiants

pubmed: 32979787
pii: S0268-0033(20)30296-5
doi: 10.1016/j.clinbiomech.2020.105177
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

105177

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Auteurs

Michela Picardi (M)

Department of Neurorehabilitation Sciences, Casa di Cura del Policlinico, Via Dezza 48, Milano 20144, Italy.

Valentina Redaelli (V)

Department of Neurorehabilitation Sciences, Casa di Cura del Policlinico, Via Dezza 48, Milano 20144, Italy.

Paola Antoniotti (P)

Department of Neurorehabilitation Sciences, Casa di Cura del Policlinico, Via Dezza 48, Milano 20144, Italy.

Giuseppe Pintavalle (G)

Department of Neurorehabilitation Sciences, Casa di Cura del Policlinico, Via Dezza 48, Milano 20144, Italy.

Evdoxia Aristidou (E)

Department of Neurorehabilitation Sciences, Casa di Cura del Policlinico, Via Dezza 48, Milano 20144, Italy.

Irma Sterpi (I)

Department of Neurorehabilitation Sciences, Casa di Cura del Policlinico, Via Dezza 48, Milano 20144, Italy.

Mario Meloni (M)

IRCCS Fondazione Don Carlo Gnocchi Onlus, via Alfonso Capecelatro 66, Milano 20148, Italy.

Massimo Corbo (M)

Department of Neurorehabilitation Sciences, Casa di Cura del Policlinico, Via Dezza 48, Milano 20144, Italy.

Antonio Caronni (A)

IRCCS Fondazione Don Carlo Gnocchi Onlus, via Alfonso Capecelatro 66, Milano 20148, Italy. Electronic address: acaronni@dongnocchi.it.

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Classifications MeSH