Digital Tools for Assessment of Motor Functions and Falls in ALS
概览
- 阶段
- 不适用
- 干预措施
- 未指定
- 疾病 / 适应症
- ALS
- 发起方
- Milton S. Hershey Medical Center
- 入组人数
- 20
- 试验地点
- 1
- 主要终点
- Change in Physical Activity at 10 months
- 状态
- 进行中（未招募）
- 最后更新
- 2个月前
概览
简要总结
This is a 48-week single arm study that incorporates digital tools for assessing motor function as part of an ALS telemonitoring program. During the study, neck- and wrist-worn "activity sensors" (PAMSys, BioSensics, Newton, MA) that will be worn by subjects while performing tasks of daily living. Subjects will also complete a motor, speech, and handwriting assessment during site visits. Subjects will complete a digital home assessments of speech, handwriting, and pattern tracing tasks throughout the study, and report any falls which occur on the study tablet. The investigators will explore whether functional changes are sensitive to self-reported changes on the ALS Functional Rating Scale - Revised (ALFRS-R) over the length of the study.
详细描述
Many of the recognized intrinsic factors for falls are commonly seen in ALS, including advanced age, muscle weakness, gait and balance problems, and previous falls. The American Academy of Neurology ALS Quality Standards Committee recommends querying patients for falls occurring in the past 12 months, indicating that prevention of falls is an important part of disease management. Despite this, the determinants and prevention of falls in this population is critically understudied. Among frail older adults, fallers (those who reported at least 1 fall in the last 6-months) spent more than twice as much time walking as non-fallers (those who reported no falls in the last 6-months). For these individuals, the best predictors of falling are measures related to activity exposure, such as time spent walking, average walking bout duration, or steps per day. Activity metrics of cadence variability, peak vertical acceleration variability, average duration of episodes of walking, frontal acceleration variability, average peak vertical acceleration, and average cadence have been shown to be associated with fall risk. During walking, individuals with ALS have increased and highly variable gait cycle time (time to complete a full walking cycle), along with reduced stride length with increased variability in stride length compared to healthy controls. The ability to observe changes in gait and posture has rapidly advanced around a revolution in mobile health technology. Inertial measurement units (IMUs), a standard inclusion of nearly all new smartphone/smartwatch devices, are small electronic chips that detect different aspects of inertial change, notably linear acceleration, angular velocity, and position relative to the magnetic field of the earth. Unlike their expansive use in movement disorders like Parkinson's disease, IMU-based gait assessment has been largely absent in ALS, despite the rapid changes to gait that may occur. The standard model for assessing and acting upon functional motor changes, including those impacting gait and falls, occurs roughly once every three months when patients are seen in the outpatient setting. Furthermore, self-reporting of falls has been shown to suffer from recall bias, resulting in low sensitivity and underreporting of fall events. In summary, patients with a rapidly progressing neurodegenerative disease, who in the standard care setting receive physical assessment motor function every three months, might stand to benefit from a home-based, objective biomarker for functional motor changes.
研究者
Andrew Geronimo
Assistant Research Professor, Dept of Neurosurgery
Milton S. Hershey Medical Center
入排标准
入选标准
- •Diagnosis of definite, probable, probable laboratory-supported, or possible ALS by revised El Escorial research criteria \[Brooks2000\], primary lateral sclerosis (PLS), or progressive muscular atrophy (PMA).
- •18 years of age or older;
- •ALSFRS-R walking sub-score of either 4 (normal gait), 3 (early ambulation difficulties), or 2 (walking with assistance);
- •Fluent in written and spoken English.
排除标准
- •Neurological or orthopedic problems independent of their inclusionary diagnosis that affects their gait;
- •Pregnant or nursing woman;
- •Prisoner or institutionalized individuals;
- •Have any clinically relevant medical history of other disease or diseases that, in the opinion of the research team, exclude the subject from participation (including severe cognitive dysfunction).
结局指标
主要结局
Change in Physical Activity at 10 months
时间窗: baseline and visit 4 (an average of 10 months)
Changes in physical activity from baseline to 10 months will be assessed. Physical activity will be quantified by measuring number of taken steps per day and will be measured using a validated wearable sensor named PAMSys. Monitoring of physical activity will be done during 72 hours at baseline and 72 hours at 10 months.
次要结局
- Change from baseline in total upper limb muscle strength at end of study(baseline and end of study (an average of 1 year))
- Change from baseline in total lower limb reflexes at end of study(baseline and end of study (an average of 1 year))
- Change from baseline in total ALSFRS-R at end of study(baseline and end of study (an average of 1 year))
- Change from baseline in ALSFRS-R gross motor subscore at end of study(baseline and end of study (an average of 1 year))
- Change from baseline in total upper limb reflexes at end of study(baseline and end of study (an average of 1 year))
- Change from baseline in Forced Vital Capacity at end of study(baseline and end of study (an average of 1 year))
- Change from baseline in "Neurological Fatigue Index - Motor Neuron Disease" weakness subscale at end of study(baseline and end of study (an average of 1 year))
- Handwriting Assessment: Change from baseline in legibility at end of study(baseline and end of study (an average of 1 year))
- Adherence: Activity Sensor(end of study (an average of 1 year))
- Change from baseline in ALSFRS-R fine motor subscore at end of study(baseline and end of study (an average of 1 year))
- Change from baseline in 10 meter walk at end of study(baseline and end of study (an average of 1 year))
- Digital Handwriting Assessment: Change from baseline in legibility at end of study(baseline and end of study (an average of 1 year))
- Adherence: Fall Sensor(end of study (an average of 1 year))
- Change from baseline in "Falls Efficacy Scale - International" total score at end of study(baseline and end of study (an average of 1 year))
- Change from baseline in total lower limb muscle strength at end of study(baseline and end of study (an average of 1 year))
- Change from baseline in "Neurological Fatigue Index - Motor Neuron Disease" energy subscale at end of study(baseline and end of study (an average of 1 year))
- Handwriting Assessment: Change from baseline in handwriting speed at end of study(baseline and end of study (an average of 1 year))
- Adherence: Tablet Assessments(end of study (an average of 1 year))
- Change from baseline in "Fatigue Severity Scale" total score at end of study(baseline and end of study (an average of 1 year))
- Fall Event Detections(end of study (an average of 1 year))
- Change from baseline in speaking rate at end of study(baseline and end of study (an average of 1 year))
- Change from baseline in 3-meter Timed-Up-and-Go at end of study(baseline and end of study (an average of 1 year))
- Digital Handwriting Assessment: Change from baseline in handwriting speed at end of study(baseline and end of study (an average of 1 year))
- Digital Handwriting Assessment: Change from baseline in spiral tracing speed at end of study(baseline and end of study (an average of 1 year))
- Fall Event Reports(end of study (an average of 1 year))