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Detecting Multiple Sclerosis via breath analysis using an eNose

Detecting Multiple Sclerosis via breath analysis using an eNose

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON26204
Enrollment
400
Registered
2021-08-23
Start date
2020-12-01
Completion date
Unknown
Last updated
2024-02-28

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Multiple Sclerosis

Interventions

Participants will breathe trough the AeonoseTM for 5 minutes.

Sponsors

Drs. M.W.P.M. Lenders
Lead Sponsor

Eligibility

Inclusion criteria

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

Exclusion criteria: - Physically or cognitively being unable to use the Aeonose - Diagnosed with another neurodegenerative or neuroinflammatory disease (besides MS)

Design outcomes

Primary

MeasureTime frame
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

MeasureTime frame
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.

Contacts

Public ContactRozemarijn Ettema

Medisch Spectrum Twente

ar.ettema@mst.nl0642340009

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)