Combination of Clinical and Gait Measures to Classify Fallers and Non-Fallers in Parkinson's Disease.

ABSTRACT: Although the multifactorial nature of falls in Parkinson's disease (PD) is well described, optimal assessment for the identification of fallers remains unclear. Thus, we aimed to identify clinical and objective gait measures that best discriminate fallers from non-fallers in PD, with suggestions of optimal cutoff scores.

Methods

Individuals with mild-to-moderate PD were classified as fallers (n = 31) or non-fallers (n = 96) based on the previous 12 months' falls. Clinical measures (demographic, motor, cognitive and patient-reported outcomes) were assessed with standard scales/tests, and gait parameters were derived from wearable inertial sensors (Mobility Lab v2); participants walked overground, at a self-selected speed, for 2 min under single and dual-task walking conditions (maxim

SUBMITTER: Araujo HAGO 

PROVIDER: S-EPMC10221461 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature