No registrations found.
ID
Source
Brief title
Health condition
Multiple Sclerosis
Sponsors and support
Intervention
Outcome measures
Primary outcome
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
1.Improve the model created in the pilot study by expanding the groups.
2.Determine whether eNose patterns differ for various types and stages of MS.
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.
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.
Background summary
There is not yet a quick test nor a non-invasive method to identify patients with Multiple Sclerosis (MS) or distinguish between various types of MS. An electronic nose is a diagnostic device to detect patterns in the compounds that are exhaled by patients. The disease-specific pathways give rise to specific patterns that aid in detecting diseases. Exhaled breath data and clinical parameters will be used to develop a predictive model, based on supervised machine learning techniques. We will investigate whether an eNose can detect MS and monitor the disease progression.
Study objective
We expect that MS could be detected by an electronic nose by analysing exhaled volatile compound patterns.
Study design
One measurement
Intervention
Participants will breathe trough the AeonoseTM for 5 minutes.
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)
Design
Recruitment
IPD sharing statement
Followed up by the following (possibly more current) registration
No registrations found.
Other (possibly less up-to-date) registrations in this register
No registrations found.
In other registers
| Register | ID |
|---|---|
| NTR-new | NL9689 |
| Other | METC Isala : METC201013 |