Parkinson's DiseaseNCT01174758
Development of an Instrumented System to Measure Mobility in Parkinson's Disease
An observational study of Parkinson's Disease, run by Oregon Health and Science University at 1 site in United States.
Trial summary
Developing technology to increase efficiency and decrease cost of clinical trials. The longterm objective of this project is to use new technologies to sensitively measure, automatically analyze and efficiently manage clinical trial data for Parkinson's disease (PD) and other neurological disorders. Read more about this study
- Who is it for?
- Ages 50 to 80 years
- Conditions the study is for
- Parkinson's Disease
- How many people
- 160 participants
- Where
- 1 siteUnited States
- Study dates
- Oct 2009to Oct 2014
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 50 to 80 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Movement Disorders Clinic at OHSU in Portland Oregon.
Who may be able to join
- Diagnosis of idiopathic Parkinson's Disease
- Ages 50-80
- Currently taking some form of Carbidopa/Levodopa
Who cannot join
- Significant orthopedic injuries or surgeries
- Deep-Brain-Stimulation surgery
- Any other neurological conditions
Trial locations and contacts
1 site in 1 country.
United States1 site
Oregon Clinical Translational Research Institute
Portland, Oregon, 97239
About this study
Developing technology to increase efficiency and decrease cost of clinical trials. The longterm objective of this project is to use new technologies to sensitively measure, automatically analyze and efficiently manage clinical trial data for Parkinson's disease (PD) and other neurological disorders. This project will focus on developing objective measures of balance and gait because mobility disability and falls are so critical for quality of life in PD. Clinical movement disorders experts will team up with a local start-up business to develop, produce, and test a novel clinical balance and gait assessment tool, the instrumented Timed Up and Go Test (iTUG) for patients with Parkinson's disease. Balance and gait will be measured with wireless sensors worn on the wrists, ankles and trunk while patients stand up from a chair, walk, turn and return to sit on the chair. Accelerations and angular velocities from the sensors will be automatically transmitted, stored, analyzed, and displayed as Mobility Scores on a remote, centralized computer, along with other patient information important for clinical trials. Specifically, this proposal will 1) create a commercially-available, clinical trial system that includes completely wireless sensor technology, a custom-made, user-friendly, computer interface and efficient data management server; 2) develop a mobility score from many potential balance and gait measures and 3) compare the sensitivity of the iTUG compared to traditional clinical tests of balance to changes in PD due to antiparkinson medication. By providing a more sensitive, accurate, and comprehensive method to quickly test and analyze balance and gait, clinical trials to improve mobility in patients with Parkinson's disease and other neurological disorders will be significantly more effective and efficient. This will permit clinical trials in Parkinson's disease to be completed with fewer subjects, shorter duration, and less cost.The current project will accelerate the development of new therapies for Parkinson's disease.
Read the detailed description
The specific aims of the study:
Aim I. To create a novel, commercially-available system for mobility assessment in clinical trials for Parkinson's disease. We have already developed a laboratory prototype system for the iTUG test, but the computer interface, sensors, and data management system are too cumbersome for use in clinical trials. In this proposal, we will create a robust, user-friendly clinical system for the iTUG test using wireless inertial sensors and a new user interface developed by a Portland start-up company, Automated Parkinson's Disease Monitoring (APDM), headed by a co-investigator. This mobility measuring system will be integrated with a new centralized data management server also developed by APDM, Inc. to support automatic data analysis and data organization for multi-site clinical trials. The feasibility of the new, clinical system will then be vetted by using it in a busy Movement Disorders Clinic.
Aim II. To develop an objective, composite iTUG mobility score. We recently demonstrated that iTUG metrics are more sensitive in distinguishing mobility performance between people just diagnosed with PD from age-matched controls than traditional clinical tests. In this proposal, we will develop a composite mobility score from the iTUG gait and postural parameters most responsive to severity of PD and to the change from the levodopa ON and OFF states. The composite score will be calculated using statistical models that optimize differences in performance between 75 subjects with PD in the ON and OFF levodopa state.
Aim III. To prospectively determine the reliability, validity and responsiveness of the iTUG mobility score. We will perform a prospective study with 60 patients with PD that compares standard clinical measures of postural instability and gait difficulty mobility (PIGD items from the Unified Parkinson's Disease Rating Scale (UPDRS) and TUG stop-watch scores) with our new iTUG mobility score in the OFF and ON levodopa states. We hypothesize that the iTUG will have good test-retest reliability, be significantly correlated with standard clinical measures and fall history and be more responsive to dopaminergic state than current mobility tests used in clinical trials. This project will develop, produce, and test a novel clinical balance and gait assessment tool, the instrumented Timed Up and Go test (iTUG) using our new, wearable, inertial sensors and our new clinical trial data management server that automatically transmits, stores, and analyzes data collected with the iTUG. By automatically providing a more sensitive, accurate, and comprehensive method to test balance and gait, clinical trials to improve mobility in patients with Parkinson's disease and other neurological disorders will be significantly more effective and efficient.
- Conditions
- Parkinson's Disease
- Keywords
- balance, mobility, ON/OFF Levodopa
- Medical subject headings
- Parkinson Disease
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Parkinson's disease | Individuals participating in the study have been diagnosed with idiopathic Parkinson's disease. |
What is being measured
The primary outcome is the main question the study is designed to answer.
iMOBILITY: the instrumented system for measuring mobility.
Instrumented system for measuring mobility.
Which measures over a 100 different variables of movement, for example:
Cadence, Turning Duration, Turning Velocity etc...
Measured: 2 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted4 Aug 2010 (estimated)
- Study startOct 2009
- Primary completionOct 2014
- Study completionOct 2014
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Parkinson's DiseaseStudies of the same condition, open and under way.
- More trials run by Oregon Health and Science UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Cross-sectional
- Enrolment
- 160 participants (actual)
Sponsor and investigators
- Lead sponsor
- Oregon Health and Science University
- Sponsor type
- University, hospital or other
- Collaborators
- National Institute of Neurological Disorders and Stroke (NINDS), National Multiple Sclerosis Society
- Responsible party
- Principal investigator, Fay B. Horak, Oregon Health and Science University
- Investigators
- Fay Horak, Phd, Principal investigator, Oregon Health and Science University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT01174758
- Sponsor's protocol ID
- 5029
- Status last verified
- Oct 2014
- First submitted
- 2 Aug 2010
- Last updated
- 3 Nov 2014
- Results posted
- No
Study at a glance
From the registry record, last updated by the sponsor on 3 Nov 2014. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Development of an Instrumented System to Measure Mobility in Parkinson's Disease
- ClinicalTrials.gov ID
- NCT01174758
- Acronym / sponsor ID
- 5029
- Conditions
- Parkinson's Disease
- Keywords
- balance, mobility, ON/OFF Levodopa
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 160 participants (actual)
- Lead sponsor
- Oregon Health and Science UniversityUniversity, hospital or other
- Collaborators
- National Institute of Neurological Disorders and Stroke (NINDS), National Multiple Sclerosis Society
- Study start
- Oct 2009
- Primary completion
- Oct 2014 (actual)
- Study completion
- Oct 2014 (actual)
- First posted
- 4 Aug 2010 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Developing technology to increase efficiency and decrease cost of clinical trials. The longterm objective of this project is to use new technologies to sensitively measure, automatically analyze and efficiently manage clinical trial data for Parkinson's disease (PD) and other neurological disorders. This project will focus on developing objective measures of balance and gait because mobility disability and falls are so critical for quality of life in PD. Clinical movement disorders experts will team up with a local start-up business to develop, produce, and test a novel clinical balance and gait assessment tool, the instrumented Timed Up and Go Test (iTUG) for patients with Parkinson's disease. Balance and gait will be measured with wireless sensors worn on the wrists, ankles and trunk while patients stand up from a chair, walk, turn and return to sit on the chair. Accelerations and angular velocities from the sensors will be automatically transmitted, stored, analyzed, and displayed as Mobility Scores on a remote, centralized computer, along with other patient information important for clinical trials. Specifically, this proposal will 1) create a commercially-available, clinical trial system that includes completely wireless sensor technology, a custom-made, user-friendly, computer interface and efficient data management server; 2) develop a mobility score from many potential balance and gait measures and 3) compare the sensitivity of the iTUG compared to traditional clinical tests of balance to changes in PD due to antiparkinson medication. By providing a more sensitive, accurate, and comprehensive method to quickly test and analyze balance and gait, clinical trials to improve mobility in patients with Parkinson's disease and other neurological disorders will be significantly more effective and efficient. This will permit clinical trials in Parkinson's disease to be completed with fewer subjects, shorter duration, and less cost.The current project will accelerate the development of new therapies for Parkinson's disease.
Detailed description
The specific aims of the study:
Aim I. To create a novel, commercially-available system for mobility assessment in clinical trials for Parkinson's disease. We have already developed a laboratory prototype system for the iTUG test, but the computer interface, sensors, and data management system are too cumbersome for use in clinical trials. In this proposal, we will create a robust, user-friendly clinical system for the iTUG test using wireless inertial sensors and a new user interface developed by a Portland start-up company, Automated Parkinson's Disease Monitoring (APDM), headed by a co-investigator. This mobility measuring system will be integrated with a new centralized data management server also developed by APDM, Inc. to support automatic data analysis and data organization for multi-site clinical trials. The feasibility of the new, clinical system will then be vetted by using it in a busy Movement Disorders Clinic.
Aim II. To develop an objective, composite iTUG mobility score. We recently demonstrated that iTUG metrics are more sensitive in distinguishing mobility performance between people just diagnosed with PD from age-matched controls than traditional clinical tests. In this proposal, we will develop a composite mobility score from the iTUG gait and postural parameters most responsive to severity of PD and to the change from the levodopa ON and OFF states. The composite score will be calculated using statistical models that optimize differences in performance between 75 subjects with PD in the ON and OFF levodopa state.
Aim III. To prospectively determine the reliability, validity and responsiveness of the iTUG mobility score. We will perform a prospective study with 60 patients with PD that compares standard clinical measures of postural instability and gait difficulty mobility (PIGD items from the Unified Parkinson's Disease Rating Scale (UPDRS) and TUG stop-watch scores) with our new iTUG mobility score in the OFF and ON levodopa states. We hypothesize that the iTUG will have good test-retest reliability, be significantly correlated with standard clinical measures and fall history and be more responsive to dopaminergic state than current mobility tests used in clinical trials. This project will develop, produce, and test a novel clinical balance and gait assessment tool, the instrumented Timed Up and Go test (iTUG) using our new, wearable, inertial sensors and our new clinical trial data management server that automatically transmits, stores, and analyzes data collected with the iTUG. By automatically providing a more sensitive, accurate, and comprehensive method to test balance and gait, clinical trials to improve mobility in patients with Parkinson's disease and other neurological disorders will be significantly more effective and efficient.
Study design
- Observational model
- Cohort
- Time perspective
- Cross-sectional
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Parkinson's disease | – | –Individuals participating in the study have been diagnosed with idiopathic Parkinson's disease. |
Who may qualify
- Ages
- 50 to 80 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Movement Disorders Clinic at OHSU in Portland Oregon.
Key inclusion criteria (3 listed)
- Diagnosis of idiopathic Parkinson's Disease
- Ages 50-80
- Currently taking some form of Carbidopa/Levodopa
Key exclusion criteria (3 listed)
- Significant orthopedic injuries or surgeries
- Deep-Brain-Stimulation surgery
- Any other neurological conditions
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
iMOBILITY: the instrumented system for measuring mobility.
Time frame: 2 years
Instrumented system for measuring mobility. Which measures over a 100 different variables of movement, for example: Cadence, Turning Duration, Turning Velocity etc...
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 3 Nov 2014.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Fay Horak, Phd principal investigator
Oregon Health and Science University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Parkinson's Disease, run by Oregon Health and Science University at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 3 Nov 2014. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
iMOBILITY: the instrumented system for measuring mobility. (time frame: 2 years). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 3 Nov 2014.