GADGET-PD Genetic and Digital Diagnosis of Essential Tremor and Parkinson's Disease Trial (GADGET-PD)

March 16, 2020 updated by: Scripps Translational Science Institute

The proposed study will capitalize on the early predictive information stored in an individual's genetic risk for Parkinson Disease (PD) in combination with the subtle features of tremors that can be extracted from movement data gathered by modern compact accelerometers in order to determine if accurate discrimination of essential tremor (ET) from PD can be achieved. Both of these technologies have a proven but somewhat limited ability to inform diagnosis of PD or differentiation of PD from ET - especially at early stages of the disease. The investigators hypothesize that a combination of prior genetic risk and current disease symptomology can synergize for accurate and early discrimination of PD from ET and ultimately inform a cost effective approach to movement disorder diagnosis.

In this study, the investigators will collect blood from individuals with confirmed late-onset diagnosis of PD and ET. Gold standard diagnosis status will be determined via the Unified Parkinson's Disease Rating Scale (UPDRS) - the accepted clinical gold standard for Parkinson's Disease diagnosis. DNA will be extracted from blood samples to characterize the genetic risk of individuals for PD via proven genetic risk models. In addition, participants will wear a wristwatch-like accelerometer device that will track their movements (tremors) at high temporal resolution and transmit movement data via a smartphone. Cognitive distraction tasks will be administered via mobile phones while simultaneously collecting movement data. Predictive tremor features will be extracted from movement data via signal processing approaches - e.g. discrete wavelet transformation. A final predictive model combining movement tracking information and genetic information will be designed in attempt to distinguish PD from ET individuals.

Study Overview

Study Type

Observational

Enrollment (Actual)

67

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

Study population is limited to individuals presenting in Scripps Health clinics with diagnosis of Parkinson's disease or essential tremor.

Description

Inclusion Criteria:

  • Idiopathic Parkinson's Disease as defined by the UK brain bank criteria and history of resting tremor, or:
  • Essential Tremor with history of resting tremor. Diagnosis made by a movement disorder specialist.
  • Midstage in disease process for Parkinson's disease with history of resting tremor

Exclusion Criteria:

  • Dementia as defined by a mini-mental state examination cutoff score of 27
  • Atypical Parkinsonism
  • Akinesia/ rigidity Parkinson's Disease
  • Movement Disorders - Stiff-Person syndrome, choreatic disease, dystonia, progressive supranuclear palsy
  • Motor neuron disease - Multiple sclerosis, amyotrophic lateral sclerosis, motor neuritis, progressive bulbar palsy, progressive muscular atrophy, spinal muscular atrophy
  • Significant neurological comorbidities:

    • Stroke
    • Brain cancer or brain metastases
  • History of bone marrow transplant
  • Cerebral palsy and spastic paraplegia

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Cohort 1
Idiopathic Parkinson's Disease as defined by the UK brain bank criteria and history of resting tremor.
Fox Insight self-monitoring android app and smartwatch Participants will be asked to wear a smartwatch with accelerometers, during day and night, for a period of 2 weeks. Additionally, a self-monitoring app on a smartphone is used, where the participant reports when they take any medication and performs a focused attention task to encourage resting tremor.
Cohort 2
Essential Tremor with history of resting tremor. Diagnosis made by a movement disorder specialist
Fox Insight self-monitoring android app and smartwatch Participants will be asked to wear a smartwatch with accelerometers, during day and night, for a period of 2 weeks. Additionally, a self-monitoring app on a smartphone is used, where the participant reports when they take any medication and performs a focused attention task to encourage resting tremor.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Comparison of genetic markers between cohorts (Parkinson's disease and Essential Tremor)
Time Frame: 2 years
The primary outcome of the study is the generation of genomic information that may inform the diagnosis and/or treatment of movement disorders. The endpoint will be derived from the successful implementation of genomic assays, appropriate bioinformatic and statistical analysis of the genomic data generated by those assays. These analyses and report generation activity may be based on comparison of the genomic profile of a patient with data obtained from other such studies or publicly available data in addition to comparison between datasets generated within this study.
2 years
Tremor frequency over two week period
Time Frame: 2 weeks
A primary outcome of the study is the tremor frequency over two week period that may inform the diagnosis and/or treatment of movement disorders. The endpoint will be derived data recorded from a digital wristwatch-like device. These analyses and report generation activity may be based on comparison between datasets generated within this study.
2 weeks

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Comparison of genetic markers to tremor characteristics
Time Frame: 2 years
Secondary outcomes for this analysis include the identification of genetic characteristics that differentiate individuals with specific tremor characteristics.
2 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Ali Torkamani, PhD, Scripps Translational Science Institute

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

November 1, 2015

Primary Completion (Actual)

February 1, 2017

Study Completion (Actual)

April 1, 2019

Study Registration Dates

First Submitted

December 4, 2015

First Submitted That Met QC Criteria

January 28, 2016

First Posted (Estimate)

January 29, 2016

Study Record Updates

Last Update Posted (Actual)

March 18, 2020

Last Update Submitted That Met QC Criteria

March 16, 2020

Last Verified

March 1, 2020

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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