Detecting Multiple Sclerosis via breath analysis using an eNose
Recruiting
- Conditions
- Multiple Sclerosis
- Registration Number
- NL-OMON26204
- Lead Sponsor
- Drs. M.W.P.M. Lenders
- Brief Summary
Ettema A.R, et al. Detecting Multiple Sclerosis via breath analysis using an eNose, a pilot study. J. Breath Res. 2021, 15, 027101
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- Not specified
- Target Recruitment
- 400
Inclusion Criteria
Inclusion criteria for patients with MS:
- Diagnosis MS confirmed by a neurologist
- Age >18 years
Inclusion criteria control subjects
- Not suspicious of having MS
- Age >18 years
Exclusion Criteria
- Physically or cognitively being unable to use the Aeonose
- Diagnosed with another neurodegenerative or neuroinflammatory disease (besides MS)
Study & Design
- Study Type
- Observational non invasive
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Investigate the accuracy of the AeonoseTM in distinguishing breath prints of patients with various types and stages of MS and sujects without MS, whether it can assist in diagnosing MS, and whether it can monitor its progression.
- Secondary Outcome Measures
Name Time Method 1.Improve the model created in the pilot study by expanding the groups.<br>2.Determine whether eNose patterns differ for various types and stages of MS. <br>3.Determine whether eNose patterns differ between MS patients with a positive response to medication and MS patients with no response to medication, to predict and monitor the patients response to treatment. <br>4.Determine whether our eNose models are able to distinguish between subjects who will be diagnosed with MS and those who will not get the diagnosis MS.