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There is an urgent need for the development of digital progression biomarkers, which are sensitive to detect small, but potentially clinically relevant changes in the disease course. Digital biomarkers are based on (i) continuously collected real-time data, during the patient's day to day activities; and (ii) task-based assessment. In this study the investigators are interested in developing algorithms for the detection of disease progression in PSP patients in key clinical parameters: bradykinesia, gait, rising from a chair and falls, based on (i) sensor data obtained by means of passive monitoring during daily living; and (ii) sensor data collected during the Virtual Motor Exam.
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Rationale In light of the advent of a wide range of new disease modifying treatments, and acknowledging that existing clinical outcome measures may well be insufficiently sensitive to detecting small but potentially clinically relevant changes in the disease course, there is an urgent need for development of digital progression biomarkers, not only in the field of Parkinson's disease, but also in the field of the various forms of atypical parkinsonism, including Progressive Supranuclear Palsy (PSP).
Study Design Prospective, longitudinal, single-center cohort study.
Study Objectives The primary objective is to develop algorithms for the detection of disease progression in PSP patients in key clinical parameters: bradykinesia, gait, rising from a chair and falls, based on (1) sensor data obtained by means of passive monitoring during daily living; and (2) sensor data collected during the Virtual Motor Exam.
The second objective of this study is to create a longitudinal dataset describing the clinical and functional characteristics of a representative PSP cohort to allow researchers to investigate important unanswered questions in PSP.
Study population 50 patients with possible or probable PSP, according to established international criteria (i.e., MDS-PSP criteria); diagnosis confirmed by consensus review of a videotaped neurological examination by two neurologists with deep expertise in movement disorders. In addition, we will include 50 age and gender matched healthy controls.
Main study parameters/endpoints The primary study endpoints are the annual changes in the newly developed digital measurements, extracted from the Verily Study Watch. Secondary endpoints include standardized evaluations for motor, cognition, neuropsychological, quality of life and ADL assessments. Additionally, whole blood for DNA and serum will be collected in the PSP subjects, to use for e.g. genotyping and phenotyping.
Nature and extent of the burden and risks associated with participation, benefit and group relatedness For data collection, the study assessor will visit each participant at home twice within an interval of 1 year ± 60 days. All study assessments are routine exams done in standard clinical practice and are generally well tolerated, which takes up to 2 hours each time. PSP subjects will also be asked to consent to a blood draw once. During their 1-year participation, each participant will wear the Verily Study Watch daily for up to 23 hours. This small, unobtrusive electronic device is easily worn and poses no significant safety risk. All participants will be asked to complete a set scheduled tasks twice a day, once a week, which altogether takes 15-20 minutes of their time.
As data collection is not performed for immediate diagnostic or therapeutic purposes, there will be no direct benefits for the subjects enrolled in this study. Patients may indirectly benefit from the study, as their data contribute to providing novel etiological insights for improving the use of existing treatments, developing of new therapeutic approaches, and increasing the precision of personalized disease management.
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Inclusion Criteria (PSP cohort):
Inclusion Criteria (HC cohort):
Exclusion Criteria (PSP and HC cohorts):
100 participants in 2 patient groups
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Central trial contact
Marjan Meinders, PhD; Tessa van de Zande, MSc
Data sourced from clinicaltrials.gov
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