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Digital Health Technologies for Progressive Supranuclear Palsy and Dementia With Lewy Bodies

Digital Health Technologies For Monitoring Disease Symptoms in Progressive Supranuclear Palsy and Dementia With Lewy Bodies

Status
Not yet recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT07240805
Enrollment
60
Registered
2025-11-21
Start date
2026-06-15
Completion date
2029-01-01
Last updated
2026-07-01

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Dementia With Lewy Bodies (DLB), Lewy Body Dementia (LBD), Lewy Body Disease, Progressive Supranuclear Palsy(PSP), PSP

Brief summary

Progressive supranuclear palsy (PSP), mild cognitive impairment with Lewy bodies (MCI-LB), and Dementia with Lewy Bodies (DLB) are severe neurodegenerative diseases that cause significant motor impairment impacting daily function. Researchers at BioSensics, Johns Hopkins School of Medicine, Massachusetts General Hospital and their collaborators aim to conduct an analytical and clinical validation of wearable-based digital health technologies for monitoring upper and lower limb function in PSP, MCI-LB and DLB that could enable frequent, at-home monitoring and be incorporated into future clinical trials.

Detailed description

PSP is a severe and rapidly progressive frontotemporal lobar degeneration (FTLD) syndrome that lacks effective treatment and leads to a rapid onset of dementia, disability, and eventually death. Dementia with Lewy bodies (DLB) is the second most common type of neurodegenerative dementia after Alzheimer's disease that severely impacts daily function and shortens lifespan. Mild cognitive impairment with Lewy bodies (MCI-LB) is an earlier stage where cognitive impairment is noticeable, but does not significantly interfere with living to the degree as seen in DLB. Both PSP and DLB cause significant motor impairment, resulting in progressive loss of independence in activities of daily living, such as eating, dressing, and writing. Despite approximately 200 ongoing clinical trials in PSP and DLB, there are no FDA-approved treatments for FTLD syndromes (including PSP) or DLB. One of the key challenges in the development of new effective therapies for DLB syndromes is the lack of validated instruments and biomarkers to measure disease severity, disease progression, and the effect of therapeutic interventions. Clinical measures of PSP and DLB, largely based on quantitative variations on the neurological exam, have suboptimal sensitivity to change and relevance to clinical meaning in patients' lives. Since 2019, BioSensics, MGH and JHU have partnered to develop a remote monitoring solution for FTLD syndromes using wearable sensors and a series of digital assessments. The solution uses PAMSys, a FDA-listed Class II pendant sensor for monitoring physical activity, posture, and walking parameters during activities of daily living, where the investigators have demonstrated the feasibility of using PAMSys for tracking ambulatory change in PSP. In this project, the investigators will use PAMSys pendant, PAMSys ULM wrist sensors, and PAMSys Gait ankle sensors to enable comprehensive monitoring of upper and lower limb function in PSP and DLB. The will demonstrate the accuracy (analytical validation) of PAMSys, PAMSys ULM and PAMSys Gait sensors in PSP and DLB. Digital speech, fine motor control, and cognitive assessment data will also be collected from the participants using a study tablet. In addition, a proof-of-concept study will be conducted to demonstrate the feasibility and reliability of monitoring motor function in PSP and DLB using the wearable sensors. Clinically, the proposed solution can be used to develop more sensitive approaches to monitor an individual's response to new therapies. Such solutions can enable the detection of subtle changes in movement, ambulation, and motor function while providing specific individualized insights into the clinical phase of disease. Additionally, by testing whether disease outcomes can be measured remotely in patients' homes, this project will be a crucial step forward for both research and clinical care that could meaningfully reduce both financial and time costs for patients, clinicians, researchers, and pharmaceutical companies.

Interventions

None listed

Sponsors

BioSensics
Lead SponsorINDUSTRY
National Institute on Aging (NIA)
CollaboratorNIH
Johns Hopkins University
CollaboratorOTHER
Massachusetts General Hospital
CollaboratorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
40 Years to 89 Years
Healthy volunteers
No

Inclusion criteria

* Male and female participants aged 40-89 meeting clinical diagnostic criteria for probable PSP, probable MCI-LB or probable DLB. * Able to be present for all study procedures, complete questionnaires and assist during home data collection. * Eligible participants must be fluent in reading and speaking English and must be capable of providing informed consent based on the principal investigator's judgment. * Must have a caregiver or study partner who is willing and able to assist with all study-related procedures. * Ambulatory (able to take 10 steps with minimal support such as use of a cane)

Exclusion criteria

* Any neurological, medical, or psychiatric condition that would preclude or confound participation in study activities based on the investigator's judgment. * History of frequent falls defined as more than 5 falls per month, will not be eligible to participate in the study.

Design outcomes

Primary

MeasureTime frameDescription
Hand Function Monitoring14 daysFollowing the baseline visit, participants will be asked to wear two PAMSys ULM wrist sensors for 14 days at home. Average daily number of hand goal-directed movements will be measured using the AMSys ULM wrist sensors.
5-times Sit-to-Stand Test (5xSTS)Baseline.Participants will perform the 5-times Sit-to-Stand Test (5xSTS) while wearing a PAMSys pendant sensor.
Box and Block test (BBT)Baseline.Participants will perform the Box and Block test (BBT) while wearing two PAMSys ULM wrist sensors.
9-Hole Peg Test (9HPT)BaselineParticipants will perform the 9-Hole Peg Test (9HPT) while wearing two PAMSys ULM wrist sensors.
Physical Activity Monitoring14 daysFollowing the baseline visit, participants will be asked to wear a PAMSys pendant sensor for 14 days at home. The average daily number of steps will be measured using the PAMSys pendant.
Gait Monitoring14 daysFollowing the baseline visit, participants will be asked to wear two PAMSys Gait ankle sensors for 14 days at home. Daily average stride velocity will be measured using the PAMSys Gait ankle sensors. The stride velocity unit is m/s.
2-Minute Walk Test (2MWT)Baseline.Participants will perform the 2-minute walk test (2MWT) while wearing a PAMSys pendant sensor, and two PAMSys Gait ankle sensors.
Timed Up & Go Test (TUG)Baseline.Participants will perform the (TUG) test while wearing a PAMSys pendant sensor, and two PAMSys Gait ankle sensors.

Secondary

MeasureTime frameDescription
Zaret Burden Interview (ZBI)Baseline.The ZBI is completed by a reliable caregiver. The ZBI scores range from 0-88, where 88 represents a worse outcome.
Symbol Digit Modalities Test (SDMT)Baseline.This brief cognitive test examines processing speed and sustained attention.
Montreal Cognitive Assessment (MoCA)Baseline.This is a brief global cognitive screening assessment. Scores range from 0 to 30 where 0 represents a worse outcome.
Patient Global Impression Scale (PGIS)Baseline.This is a brief patient-reported global assessment of disease severity. Participants rate their condition from 0 (no severity) to 5 (very severe).
Schwab and England Activities of Daily Living (SE-ADL)Baseline.This is a standard patient-reported outcome to measure of functional ability. The SE-ADL scores range from 0%-100%, where 0% represents a worse outcome.

Countries

United States

Contacts

CONTACTAna Enriquez
ana.enriquez@biosensics.com888-589-6213

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jul 2, 2026