Quantitative trunk sway analysis under challenging gait conditions in early and untreated Parkinson's disease.

Axial rigidity Early Parkinson’s disease Gait and balance Postural instability Trunk sway

Journal

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
ISSN: 1590-3478
Titre abrégé: Neurol Sci
Pays: Italy
ID NLM: 100959175

Informations de publication

Date de publication:
Feb 2022
Historique:
received: 14 06 2021
accepted: 23 10 2021
pubmed: 3 11 2021
medline: 28 1 2022
entrez: 2 11 2021
Statut: ppublish

Résumé

Even experienced clinicians may encounter difficulties in making a definitive diagnosis in the early motor stages of Parkinson's disease (PD). We investigated whether quantitative biomechanical trunk sway analysis could support the diagnosis of PD early on. We quantified trunk sway performance using body-worn sensors during a test battery of six challenging gait conditions in a cohort of 17 early and untreated PD patients (with evidence of reduced tracer uptake in the basal ganglia on dopamine transporter scans) and 17 age- and sex-matched healthy controls (HCs). Compared to HC, the PD group (Hoehn & Yahr ≤ 2, Unified Parkinson's Disease Rating Scale motor score: mean 13.7 ± 3.5 points) showed significant trunk rigidity in five challenging gait tasks (decreased medio-lateral direction and sway angle area). Post hoc receiver operating characteristic analysis of the significant parameters revealed excellent discrimination with high sensitivity and specificity. In the early and untreated motor stages of PD, patients exhibit significant trunk rigidity during challenging gait tasks. Trunk sway motion recorded with body-worn sensors might be a useful tool to disclose a sometimes hard-to-trace cardinal motor sign of PD and support an early clinical diagnosis.

Identifiants

pubmed: 34727255
doi: 10.1007/s10072-021-05699-w
pii: 10.1007/s10072-021-05699-w
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1411-1413

Informations de copyright

© 2021. Fondazione Società Italiana di Neurologia.

Références

Hubble RP, Naughton GA, Silburn PA, Cole MH (2015) Wearable sensor use for assessing standing balance and walking stability in people with Parkinson’s disease: a systematic review. PLoS ONE 10:e0123705. https://doi.org/10.1371/journal.pone.0123705
doi: 10.1371/journal.pone.0123705 pubmed: 25894561 pmcid: 4403989
Chen T-Z, Xu G-J, Zhou G-A, Wang J-R, Chan P, Du Y-F (2014) Postural sway in idiopathic rapid eye movement sleep behavior disorder: a potential marker of prodromal Parkinson’s disease. Brain Res 1559:26–32. https://doi.org/10.1016/j.brainres.2014.02.040
doi: 10.1016/j.brainres.2014.02.040 pubmed: 24602694
Maetzler W, Mancini M, Liepelt-Scarfone I, Müller K, Becker C, van Lummel RC et al (2012) Impaired trunk stability in individuals at high risk for Parkinson’s disease. PLoS ONE 7:e32240. https://doi.org/10.1371/journal.pone.0032240
doi: 10.1371/journal.pone.0032240 pubmed: 22457713 pmcid: 3311622
Konczak J, Corcos DM, Horak F, Poizner H, Shapiro M, Tuite P et al (2009) Proprioception and motor control in Parkinson’s disease. J Mot Behav 41:543–552. https://doi.org/10.3200/35-09-002
doi: 10.3200/35-09-002 pubmed: 19592360
Bauby CE, Kuo AD (2000) Active control of lateral balance in human walking. J Biomech 33:1433–1440. https://doi.org/10.1016/s0021-9290(00)00101-9
doi: 10.1016/s0021-9290(00)00101-9 pubmed: 10940402

Auteurs

Thomas Wolfsegger (T)

Department of Neurology 1, Kepler University Hospital-Neuromed Campus, Wagner-Jauregg-Weg 15, 4020, Linz, Austria. thomas.wolfsegger@kepleruniklinikum.at.

Robert Pichler (R)

Institute of Nuclear Medicine, Kepler University Hospital-Neuromed Campus, Linz, Austria.

Hamid Assar (H)

Department of Neurology 1, Kepler University Hospital-Neuromed Campus, Wagner-Jauregg-Weg 15, 4020, Linz, Austria.

Raffi Topakian (R)

Department of Neurology, Academic Teaching Hospital Wels-Grieskirchen, Wels, Austria.

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Classifications MeSH