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Effect of Levodopa and Environmental Setting on Gait and Turning Digital Markers Related to Falls in People with Parkinson's Disease.
Shah, Vrutangkumar V; McNames, James; Carlson-Kuhta, Patricia; Nutt, John G; El-Gohary, Mahmoud; Sowalsky, Kristen; Mancini, Martina; Horak, Fay B.
Afiliación
  • Shah VV; Department of Neurology Oregon Health & Science University Portland Oregon USA.
  • McNames J; APDM Wearable Technologies, a Clario company Portland Oregon USA.
  • Carlson-Kuhta P; APDM Wearable Technologies, a Clario company Portland Oregon USA.
  • Nutt JG; Department of Electrical and Computer Engineering Portland State University Portland Oregon USA.
  • El-Gohary M; Department of Neurology Oregon Health & Science University Portland Oregon USA.
  • Sowalsky K; Department of Neurology Oregon Health & Science University Portland Oregon USA.
  • Mancini M; APDM Wearable Technologies, a Clario company Portland Oregon USA.
  • Horak FB; APDM Wearable Technologies, a Clario company Portland Oregon USA.
Mov Disord Clin Pract ; 10(2): 223-230, 2023 Feb.
Article en En | MEDLINE | ID: mdl-36825056
ABSTRACT

Background:

It is unknown whether medication status (off and on levodopa) or laboratory versus home settings plays a role in discriminating fallers and non-fallers in people with Parkinson's disease (PD).

Objectives:

To investigate which specific digital gait and turning measures, obtained with body-worn sensors, best discriminated fallers from non-fallers with PD in the clinic and during daily life.

Methods:

We recruited 34 subjects with PD (17 fallers and 17 non-fallers based on the past 6 month's falls). Subjects wore three inertial sensors attached to both feet and the lumbar region in the laboratory for a 3-minute walking task (both off and on levodopa) and during daily life activities for a week. We derived 24 digital (18 gait and 6 turn) measures from the 3-minute walk and from daily life.

Results:

In clinic, none of the gait and turning measures collected during on levodopa state were significantly different between fallers and non-fallers. In contrast, digital measures collected in the off levodopa state were significantly different between groups, (average turn velocity, average number of steps to complete a turn, and variability of gait speed, P < 0.03). During daily life, the variability of average turn velocity (P = 0.023) was significantly different in fallers than non-fallers. Last, the average number of steps to complete a turn was significantly correlated with the patient-reported outcomes.

Conclusions:

Digital measures of turning, but not gait, were different in fallers compared to non-fallers with PD, in the laboratory when off medication and during a daily life.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Aspecto: Patient_preference Idioma: En Revista: Mov Disord Clin Pract Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Aspecto: Patient_preference Idioma: En Revista: Mov Disord Clin Pract Año: 2023 Tipo del documento: Article