- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT00620698
Electrical Impedance Myography as an Outcome Measure in Amyotrophic Lateral Sclerosis Clinical Trials
September 13, 2014 updated by: Seward Rutkove, Beth Israel Deaconess Medical Center
Electrical Impedance Myography as an Outcome Measure in ALS Clinical Trials
Trials evaluating new therapies for stopping or slowing the progression of ALS depend critically upon the use of outcome measures to assess whether a potential treatment is effective.
The more effective an outcome measure, the fewer patients need to be enrolled and the shorter the trial.
Many outcome measures have been used over the years, including strength assessments, breathing tests, functional status surveys, and nerve testing, but all are far from ideal.
A new method, called electrical impedance myography (EIM) appears to be especially promising in that it provides very consistent data from one testing session to the next, is sensitive to the muscle deterioration that occurs in ALS, and is entirely painless and non-invasive.
In this study, investigators from multiple institutions plan to compare several different outcome measures, including EIM, in approximately 120 ALS patients, with each patient being followed for a period of one year.
All of these measures will be compared to one another and an assessment of their ability to detect disease progression made.
Our goal will be to determine whether EIM can serve as a valuable new outcome measure, ultimately leading to substantially faster, more effective ALS trials requiring fewer patients.
Study Overview
Status
Completed
Conditions
Study Type
Observational
Enrollment (Actual)
89
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Florida
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Miami, Florida, United States, 33136
- University of Miami Miller School of Medicine
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Georgia
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Atlanta, Georgia, United States
- Emory University
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Maryland
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Baltimore, Maryland, United States
- Johns Hopkins
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Massachusetts
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Boston, Massachusetts, United States
- Massachusetts General Hospital
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Boston, Massachusetts, United States, 02446
- Beth Israel Deaconess Medical Center
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New York
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Syracuse, New York, United States
- Upstate Medical Center
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North Carolina
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Winston-Salem, North Carolina, United States, 27157
- Wake Forest University Baptist Medical Center
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Virginia
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Charlottesville, Virginia, United States, 22908
- University of Virginia Medical Center
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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 to 85 years (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Sampling Method
Probability Sample
Study Population
Patients with amyotrophic lateral sclerosis (ALS)
Description
Inclusion Criteria:
- Definite or probably ALS by El Escorial criteria
- Muscle strength of at 3.5 in one limb
Exclusion Criteria:
- Forced vital capacity of less than 70%
- Atypical forms of motor neuron disease (monomelic amyotrophy, primary lateral sclerosis)
- Pacemaker
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 |
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ALS patients
Patients with clinically established amyotrophic lateral sclerosis
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Electrical Impedance Myography
Time Frame: 6 months
|
The main outcome measure was the coefficient of variation (CoV) in the rate of the decline for each measure over time.
The CoV was calculated by dividing the standard deviation in the rate of decline across the group of subjects and dividing that by the mean rate of decline for the cohort.
This approach was taken for each of the measures being evaluated (ALS Functional Rating Scale-Revised, Handheld dynamometry, Electrical impedance myography).
The lower the CoV in the rate of decline, the more sensitive it is to identifying a potential treatment effect, since it suggests gives a measure of homogeneity of the rate of decline across the population as well as the overall rate of decline.
The smaller the standard deviation across the group and the larger the mean rate of decline across the group, the lower the CoV and the fewer number of subjects needed for a potential clinical trial using that outcome measure.
|
6 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
ALS Functional Rating Scale
Time Frame: 6 months
|
The main outcome measure was the coefficient of variation (CoV) in the rate of the decline for each measure over time.
The CoV was calculated by dividing the standard deviation in the rate of decline across the group of subjects and dividing that by the mean rate of decline for the cohort.
This approach was taken for each of the measures being evaluated (ALS Functional Rating Scale-Revised, Handheld dynamometry, Electrical impedance myography).
The lower the CoV in the rate of decline, the more sensitive it is to identifying a potential treatment effect, since it suggests gives a measure of homogeneity of the rate of decline across the population as well as the overall rate of decline.
The smaller the standard deviation across the group and the larger the mean rate of decline across the group, the lower the CoV and the fewer number of subjects needed for a potential clinical trial using that outcome measure.
|
6 months
|
Handheld Dynamometry
Time Frame: 6 months
|
The main outcome measure was the coefficient of variation (CoV) in the rate of the decline for each measure over time.
The CoV was calculated by dividing the standard deviation in the rate of decline across the group of subjects and dividing that by the mean rate of decline for the cohort.
This approach was taken for each of the measures being evaluated (ALS Functional Rating Scale-Revised, Handheld dynamometry, Electrical impedance myography).
The lower the CoV in the rate of decline, the more sensitive it is to identifying a potential treatment effect, since it suggests gives a measure of homogeneity of the rate of decline across the population as well as the overall rate of decline.
The smaller the standard deviation across the group and the larger the mean rate of decline across the group, the lower the CoV and the fewer number of subjects needed for a potential clinical trial using that outcome measure.
|
6 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Collaborators
Investigators
- Principal Investigator: Seward B Rutkove, MD, Beth Israel Deaconess Medical Center
- Principal Investigator: Jeremy M Shefner, MD, PhD, Upstate Medical Center
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
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
May 1, 2007
Primary Completion (Actual)
March 1, 2011
Study Completion (Actual)
March 1, 2012
Study Registration Dates
First Submitted
February 9, 2008
First Submitted That Met QC Criteria
February 20, 2008
First Posted (Estimate)
February 21, 2008
Study Record Updates
Last Update Posted (Estimate)
September 25, 2014
Last Update Submitted That Met QC Criteria
September 13, 2014
Last Verified
September 1, 2014
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- EIMALS
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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