Digital Health Technologies for Progressive Supranuclear Palsy and Dementia With Lewy Bodies
For patients and families
In plain language
An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.
- What is being studied
- This is an observational study: the protocol does not assign a study treatment.
- Who it may be relevant to
- Registry conditions: Progressive Supranuclear Palsy(PSP), Dementia With Lewy Bodies (DLB), PSP, Lewy Body Dementia (LBD). Basic parameters: 40 years — 89 years · All.
- What needs checking
- Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
- Where it takes place
- United States
- Next step
- Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
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Official title
Digital Health Technologies For Monitoring Disease Symptoms in Progressive Supranuclear Palsy and Dementia With Lewy Bodies
Overview
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.
Primary outcome measures
- 2-Minute Walk Test (2MWT) [Time frame: Baseline.]
- Timed Up & Go Test (TUG) [Time frame: Baseline.]
- 5-times Sit-to-Stand Test (5xSTS) [Time frame: Baseline.]
- Box and Block test (BBT) [Time frame: Baseline.]
- 9-Hole Peg Test (9HPT) [Time frame: Baseline]
- Physical Activity Monitoring [Time frame: 14 days]
- Gait Monitoring [Time frame: 14 days]
- Hand Function Monitoring [Time frame: 14 days]
Secondary outcome measures (5)
- Schwab and England Activities of Daily Living (SE-ADL) [Time frame: Baseline.]
- Zaret Burden Interview (ZBI) [Time frame: Baseline.]
- Symbol Digit Modalities Test (SDMT) [Time frame: Baseline.]
- Montreal Cognitive Assessment (MoCA) [Time frame: Baseline.]
- Patient Global Impression Scale (PGIS) [Time frame: Baseline.]
Eligibility criteria
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.
Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.
Healthy volunteers: No
Study design
- Observational model
- Cohort
Study locations
United States · 2 centers
- Johns Hopkins University School of Medicine — Lutherville
- Massachusetts General Hospital — Boston
Publications
- Nunes AS, Yildiz Potter I, Mishra RK, Bonato P, Vaziri A. A deep learning wearable-based solution for continuous at-home monitoring of upper limb goal-directed movements. Front Neurol. 2024 Jan 5;14:1295132. doi: 10.3389/fneur.2023.1295132. eCollection 2023. PMID 38249724
- Sharma M, Mishra RK, Hall AJ, Casado J, Cole R, Nunes AS, Barchard G, Vaziri A, Pantelyat A, Wills AM. Remote at-home wearable-based gait assessments in Progressive Supranuclear Palsy compared to Parkinson's Disease. BMC Neurol. 2023 Dec 11;23(1):434. doi: 10.1186/s12883-023-03466-2. PMID 38082255
Identifiers
NCT: NCT07240805 · 1UF1AG094587-01 · 1UF1AG094587-01