Literature DB >> 31868675

A Longitudinal Wearable Sensor Study in Huntington's Disease.

Karthik Dinesh1, Christopher W Snyder2, Mulin Xiong3, Christopher G Tarolli2,4, Saloni Sharma2, E Ray Dorsey2,4, Gaurav Sharma1, Jamie L Adams2,4.   

Abstract

BACKGROUND: Most current measures of Huntington's disease (HD) motor symptoms are subjective, categorical, and limited to in-person visits. Wearable sensors enable objective, frequent, and remote data collection in real-world settings. However, longitudinal sensor studies in HD are lacking.
OBJECTIVE: To measure motor symptoms of HD using wearable sensors in a longitudinal study.
METHODS: Participants with HD, prodromal HD, and without a movement disorder wore five accelerometers, one on each limb and on the trunk, at up to four clinic visits over one year. After each visit, participants wore the sensors at home for two days. Based on the accelerometer data from the trunk, we calculated a "truncal Chorea Index" for periods when the participant was sitting. We also measured gait parameters and activity profiles. To measure group differences, track progression, and observe individual variability, statistical analysis of the data was conducted using a linear mixed-effects model.
RESULTS: Fifteen individuals with HD, five with prodromal HD, and 19 controls were enrolled. The average truncal Chorea Index was higher in individuals with HD (26.6, p < 0.001) than in controls (15.6). For participants with HD, the truncal Chorea Index showed a high intra-day variability but minimal change over 12 months. Individuals with HD walked less (HD = 3818, prodromal HD = 6957, controls = 5514 steps/day) and took longer duration steps (HD = 0.97, prodromal HD = 0.78, controls = 0.85 seconds/step) than the other groups. Individuals with HD spent over half their day lying down (HD = 51.1%, prodromal HD = 38.0%, controls = 37.1%).
CONCLUSIONS: A novel truncal Chorea Index can assess truncal chorea at home, finds substantial variability, and suggests that truncal chorea may be present in prodromal HD. Individuals with HD walk less and slower and spend more time lying down than controls. These findings require additional investigation, could inform clinical care, and could be used to evaluate new therapies.

Entities:  

Keywords:  Huntington’s disease; chorea; gait; motor activity; walking speed; wearable electronic zzm321990devices

Mesh:

Year:  2020        PMID: 31868675     DOI: 10.3233/JHD-190375

Source DB:  PubMed          Journal:  J Huntingtons Dis        ISSN: 1879-6397


  4 in total

Review 1.  Potential disease-modifying therapies for Huntington's disease: lessons learned and future opportunities.

Authors:  Sarah J Tabrizi; Carlos Estevez-Fraga; Willeke M C van Roon-Mom; Michael D Flower; Rachael I Scahill; Edward J Wild; Ignacio Muñoz-Sanjuan; Cristina Sampaio; Anne E Rosser; Blair R Leavitt
Journal:  Lancet Neurol       Date:  2022-07       Impact factor: 59.935

2.  A Remote Digital Monitoring Platform to Assess Cognitive and Motor Symptoms in Huntington Disease: Cross-sectional Validation Study.

Authors:  Florian Lipsmeier; Cedric Simillion; Atieh Bamdadian; Rosanna Tortelli; Lauren M Byrne; Yan-Ping Zhang; Detlef Wolf; Anne V Smith; Christian Czech; Christian Gossens; Patrick Weydt; Scott A Schobel; Filipe B Rodrigues; Edward J Wild; Michael Lindemann
Journal:  J Med Internet Res       Date:  2022-06-28       Impact factor: 7.076

Review 3.  Digital Technology in Movement Disorders: Updates, Applications, and Challenges.

Authors:  Jamie L Adams; Karlo J Lizarraga; Emma M Waddell; Taylor L Myers; Stella Jensen-Roberts; Joseph S Modica; Ruth B Schneider
Journal:  Curr Neurol Neurosci Rep       Date:  2021-03-03       Impact factor: 6.030

4.  Predicting Severity of Huntington's Disease With Wearable Sensors.

Authors:  Brittany H Scheid; Stephen Aradi; Robert M Pierson; Steven Baldassano; Inbar Tivon; Brian Litt; Pedro Gonzalez-Alegre
Journal:  Front Digit Health       Date:  2022-04-04
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.