Kinematic but not clinical measures predict falls in Parkinson-related orthostatic hypotension.

ABSTRACT:

Objective

We sought to test the hypothesis that technology could predict the risk of falls in Parkinson's disease (PD) patients with orthostatic hypotension (OH) with greater accuracy than in-clinic assessment.

Methods

Twenty-six consecutive PD patients with OH underwent clinical (including home-like assessments of activities of daily living) and kinematic evaluations of balance and gait as well as beat-to-beat blood pressure (BP) monitoring to estimate their association with the risk of falls. Fall frequency was captured by a diary collected prospectively over 6 months. When applicable, the sensitivity, specificity, and diagnostic accuracy were measured using the area under the receiver operating characteristics curve (AUC). Additional in-clinic assessments included the OH

SUBMITTER: Sturchio A 

PROVIDER: S-EPMC7914136 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature