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Reference MRI scan is recommended 6 months after treatment onset in patients with multiple sclerosis (MS), and follow-up scans at 12 months later to monitor subclinical activity. When monitoring treatment response in patients treated with disease modifying treatments (DMTs), the measurement of new or enlarging T2/FLAIR hyperintense lesions (NELs) is the preferred MRI method supplemented by contrast-enhancing lesions (CELs) for monitoring treatment response. However, some studies have suggested the deposition of gadolinium-based contrast agents in the basal ganglia and dentate nucleus of patients who underwent serial MRI acquisitions. Although significant clinical consequences of these deposits have not been demonstrated, further studies are required to better understand the potential long-term biological and clinical effects of gadolinium administration. To circumvent this potential risk, several recommendations suggested avoiding unnecessary use of gadolinium for follow-up scans. New sequences are also developed to replace gadolinium injection for the detection of active lesions. Moreover, MRI remains costly and time-consuming. In addition, systematic yearly MRI monitoring is not adapted to detect silent active lesions. This can delay identification of treatment failure and increase the risk of relapses and disability worsening, especially in the context of escalation therapy.
Therefore, biological markers could allow more frequent analysis of disease activity and detect treatment failure earlier than classical clinical and MRI monitoring. Their use would greatly help clinicians to switch for high efficacy treatments (HET) and avoid potential relapses.
Measurement of a structural axonal protein, neurofilament, in serum or plasma has shown promise as a marker of neuroaxonal injury and a measure of treatment response. In MS, cerebrospinal fluid (CSF) neurofilament-light chain (NfL) is also increased and is positively associated with MRI lesion load and disability scores and is a marker of treatment response.
WThe study authors hypothesize that monthly plasma neurofilament-light chain (pNfL) monitoring can sensitively highlight subclinical (radiological disease activity) RDA by performing early MRI scans to confirm EDA and lead to timely treatment escalation.
The main objective of this study is to compare the time to EDA in both arms (monthly pNfL monitoring vs. standard care with regular MRI scans), in patients with EDA.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| pNfL monitoring group | Experimental |
| |
| Standard care | No Intervention |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Monthly pNfL monitoring | Other | Monthly pNfL monitoring from blood samples. In case of >50% pNfL increase as compared to the mean of the 2 previous measures, an unscheduled visit with brain and spinal cord MRI will be scheduled |
| Measure | Description | Time Frame |
|---|---|---|
| Time to evidence of disease activity between groups | As assessed by new relapse and/or occurrence of NELs and/or CELs on a follow-up MRI scan | week 48 |
| Time to evidence of disease activity between groups | As assessed by new relapse and/or occurrence of NELs and/or CELs on a follow-up MRI scan | week 96 |
| Measure | Description | Time Frame |
|---|---|---|
| Proportion of CELs between groups | percent of active (contrast-enhancing) lesion | week 48 |
| Proportion of CELs between groups | percent of active (contrast-enhancing) lesion |
| Measure | Description | Time Frame |
|---|---|---|
| To estimate the best threshold of pNfL increase (last measure as compared to the mean of 2 previous measures) with best accuracy to detect evidence of disease activity | pNfL levels in pg/mL | week 96 |
| Time to evidence of disease activity using optimized threshold in experimental group |
Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Eric Thouvenot | Contact | 04 66 68 32 61 | eric.thouvenot@chu-nimes.fr |
| Name | Affiliation | Role |
|---|---|---|
| Eric Thouvenot | Centre Hospitalier Universitaire de Nīmes | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| CHU de Nice | Recruiting | Nice | France |
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| week 96 |
| Rate of clinical relapses between groups | percentage patients experiencing relapse | week 48 |
| Rate of clinical relapses between groups | percentage patients experiencing relapse | week 96 |
| Time to switch to high efficacy treatments | Days | week 48 |
| Time to switch to high efficacy treatments | Days | week 96 |
| Proportion of patients switching to high efficacy treatments between groups | Percentage | week 48 |
| Proportion of patients switching to high efficacy treatments between groups | Percentage | week 96 |
| Change in pNfL levels in patients experiencing relapse with active MRI in experimental group | pg/mL; measured using Lumipulse® G NfL Blood | Upon experiencing relapse (maximum week 96) |
| Change in pNfL levels in patients experiencing acute clinical event in experimental group | pg/mL; measured using Lumipulse® G NfL Blood | Upon experiencing an acute clinical event (maximum week 96) |
| Change in pNfL levels in patients experiencing radiological disease activity without clinical symptoms in experimental group | pg/mL; measured using Lumipulse® G NfL Blood | Upon experiencing radiological disease activity (maximum week 96) |
| Change in pNfL levels in patients switching to high efficacy treatments | pg/mL; measured using Lumipulse® G NfL Blood | Upon evidence of disease activity (maximum week 96) |
Months |
| week 96 |
| Correlation between basal pNfL fluctuations in patients with no evidence of disease activity and brain health questionnaire score | Brain-Q | week 96 |
| Description of adverse events | Descriptive | week 96 |
| Level of disability | EDSS (Extanded Disability Status Scale) score, range: 0.0-10 | Baseline (Day 0) |
| Level of disability | EDSS (Extanded Disability Status Scale) score, range: 0.0-10 | Week 48 |
| Level of disability | EDSS (Extanded Disability Status Scale) score, range: 0.0-10 | week 96 |
| Information processing speed impairment | CSCT (Computerized Speed Cognitive Test): score and standard deviation | Baseline (Day 0) |
| Information processing speed impairment | CSCT (Computerized Speed Cognitive Test): score and standard deviation | week 48 |
| Information processing speed impairment | CSCT (Computerized Speed Cognitive Test): score and standard deviation | week 96 |
| Manual dexterity | NHPT (Nine Hole Peg Test): time (seconds) | Baseline (Day 0) |
| Manual dexterity | NHPT (Nine Hole Peg Test): time (seconds) | week 48 |
| Manual dexterity | NHPT (Nine Hole Peg Test): time (seconds) | week 96 |
| Walking function | T25FW (Timed 25-Foot Walk); time (seconds) | Baseline (Day 0) |
| Walking function | T25FW (Timed 25-Foot Walk); time (seconds) | week 48 |
| Walking function | T25FW (Timed 25-Foot Walk); time (seconds) | week 96 |
| Patient-reported change in status | PGIC (Patient Global Impression of Change scale): score (7 points Likert scale) | Baseline (Day 0) |
| Patient-reported change in status | PGIC (Patient Global Impression of Change scale): score (7 points Likert scale) | Week 48 |
| Patient-reported change in status | PGIC (Patient Global Impression of Change scale): score (7 points Likert scale) | week 96 |
| Patient-reported quality of life | EQ-5D-5L score (0-100) | Baseline (Day 0) |
| Patient-reported quality of life | EQ-5D-5L score (0-100) | week 48 |
| Patient-reported quality of life | EQ-5D-5L score (0-100) | week 96 |
| CHU de Nîmes | Recruiting | Nîmes | France |
|
| ID | Term |
|---|---|
| D020529 | Multiple Sclerosis, Relapsing-Remitting |
| ID | Term |
|---|---|
| D009103 | Multiple Sclerosis |
| D020278 | Demyelinating Autoimmune Diseases, CNS |
| D020274 | Autoimmune Diseases of the Nervous System |
| D009422 | Nervous System Diseases |
| D003711 | Demyelinating Diseases |
| D001327 | Autoimmune Diseases |
| D007154 | Immune System Diseases |
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