- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04927832
Detection of Small Fiber Neuropathies by the Non-invasive SUDOSCAN Method During Chronic Autoimmune Pathologies and / or Unexplained Pain Syndromes (SUDOCU)
Very few studies have evaluated the prevalence of small fiber neuropathy (SFN) during pathologies that may be responsible for small fibers damage.
SUDOSCAN is a new rapid (2 minutes), automated, reproducible and non-invasive technology to assess small fiber neuropathy by sweat function.
With quantitative and reproducible results, SUDOSCAN allows physicians to early detect and follow-up peripheral neuropathy to monitor disease progression and assess treatment efficacy for a better patient management.
SUDOSCAN® could allow the identification of SFN in painful patients apart from another pathology already diagnosed responsible for SFN.
The purpose of the study SUDOCU is to assess the prevalence of small fiber neuropathies (SFN) in patients with systemic autoimmune pathologies or unexplained pain syndrome.
Study Overview
Status
Intervention / Treatment
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
-
Marseille, France, 13003
- BENNANI
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
Patient corresponding to one of the two following groups:
Systemic autoimmune pathology known to be complicated by small fiber neuropathies.
The following autoimmune pathologies will be included: Lupus, Sjogren, Scleroderma, Myositis, rheumatoid arthritis, Sarcoidosis, Vasculitis of small or medium vessels
- No conditions known to be responsible at SFN, unexplained pain symptoms
- Aged ≥ 18 years
- Having given free and informed written consent
Exclusion Criteria:
- Chronic alcoholism
- Unbalanced diabetes
- Chemotherapies
- HIV
- Vitamins B12, B1, B6 deficiencies
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: Non-Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Patient with chronic autoimmune pathology
|
The participants are evaluated clinically by a neurologist with evaluation by DN4 questionnaire, treatments and comorbidities (alcohol consumption, diabetes, etc.).
They undergo from exploration by SUDOSCAN according to the already established methodology and an EMG
|
|
Experimental: Patients with unexplained pain syndrome
|
The participants are evaluated clinically by a neurologist with evaluation by DN4 questionnaire, treatments and comorbidities (alcohol consumption, diabetes, etc.).
They undergo from exploration by SUDOSCAN according to the already established methodology and an EMG
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
|
Percentage of patients presenting diagnosis of small fiber neuropathy in chronic pathologies and / or unexplained pain syndrome
Time Frame: 53 months
|
53 months
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2016-A01515-46
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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