MedElevator Войти в исследования
← Поиск публикаций

DOI 10.1002/brb3.977

Медицинская библиотека · Brain and behavior · 2018

Sensor-based gait analysis in atypical parkinsonian disorders.

Raccagni Cecilia, Gaßner Heiko, Eschlboeck Sabine, Boesch Sylvia, Krismer Florian, Seppi Klaus, Poewe Werner, Eskofier Bjoern M, Winkler Juergen, Wenning Gregor, Klucken Jochen

СтатьяПоддержка исследования: вне правительства СШАПеревод пока не подготовлен

Аннотация

BACKGROUND AND

OBJECTIVES

Gait impairment and reduced mobility are typical features of idiopathic Parkinson's disease (iPD) and atypical parkinsonian disorders (APD). Quantitative gait assessment may have value in the diagnostic workup of parkinsonian patients and as endpoint in clinical trials. The study aimed to identify quantitative gait parameter differences in iPD and APD patients using sensor-based gait analysis and to correlate gait parameters with clinical rating scales.

SUBJECTS AND

METHODS

Patients with iPD and APD including Parkinson variant multiple system atrophy and progressive supranuclear palsy matched for age, gender, and Hoehn and Yahr (≤3) were recruited at two Movement Disorder Units and assessed using standardized clinical rating scales (MDS-UPDRS-3, UMSARS, PSP-RS). Gait analysis consisted of inertial sensor units laterally attached to shoes, generating as objective targets spatiotemporal gait parameters from 4 × 10 m walk tests.

RESULTS

Objective sensor-based gait analysis showed that gait speed and stride length were markedly reduced in APD compared to iPD patients. Moreover, clinical ratings significantly correlated with gait speed and stride length in APD patients.

CONCLUSION

Our findings suggest that patients with APD had more severely impaired gait parameters than iPD patients despite similar disease severity. Instrumented gait analysis provides complementary rater independent, quantitative parameters that can be exploited for clinical trials and care.

Для цитирования: Raccagni Cecilia, Gaßner Heiko, Eschlboeck Sabine, Boesch Sylvia, Krismer Florian, Seppi Klaus, Poewe Werner, Eskofier Bjoern M, Winkler Juergen, Wenning Gregor, Klucken Jochen. Sensor-based gait analysis in atypical parkinsonian disorders.. Brain and behavior. 2018. DOI: 10.1002/brb3.977.

Предметные рубрики MeSH

Подготовка и перевод публикации
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…

История · было → стало

Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.

Тип публикации указан по данным источника. Уровень доказательности автоматически не присваивается.