X-linked AdrenoleukodystrophyCALDIFFNCT05911919
Validation of a Prognostic Biomarker Using Brain Diffusion MRI in X-linked Adrenoleukodystrophy
An observational study of X-linked Adrenoleukodystrophy, run by Assistance Publique - Hôpitaux de Paris.
Trial summary
CALD is an inflammatory demyelinating disease that causes severe motor and cognitive deficit leading to rapid death. Hematopoietic stem cell transplantation (HSCT) can halt neuroinflammation in CALD through the replacement of microglia (i.e., brain immune system) but only if performed during its early phase. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- X-linked Adrenoleukodystrophy
- What is being tested?
- brainQuant module of brainTale-care platform
- Type of treatment
- Medical device
- How many people
- 200 participants
- Where
- No sites listed yet
- Study dates
- Sep 2023to Sep 2028
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Study population: Adult males carrying an ABCD1 pathogenic variant
Who may be able to join
- > 18 years old
- Male gender
- Genetically diagnosed with ALD by carrying an ABCD1 pathogenic variant
- Signed written informed consent
- Affiliation to a social security regime (patient with AME cannot be included)
- Male or female subject from 18 to 65 years old
Show all 9Show fewer
- In general good health condition
- Signed written informed consent
- Affiliation to a social security regime (healthy volunteers with AME cannot be enrolled)
Who cannot join
- Patient with non-arrested CALD
- Other neurological conditions such as brain tumour, stroke or a traumatic head injury
- Contraindication to MRI (claustrophobia, implanted metal components in the head, panic disorder, epilepsy)
- People under legal protection measure (tutorship, curatorship or safeguard measures)
- Patient included in another interventional clinical trial
- Healthy volunteers
Show all 12Show fewer
- People under legal protection measure (tutorship, curatorship or safeguard measures)
- Contraindication to MRI (claustrophobia, implanted metal components in the head, panic disorder, epilepsy)
- History of previous brain disease (including but not limited to cranial trauma in the last 12 months, glioma, stroke, neurodegenerative diseases)
- Arterial hypertension as defined in WHO criteria
- Volunteer included in another interventional clinical trial
- Pregnancy and breastfeeding women
Trial locations and contacts
No sites are listed yet. Contact the study team or a site near you to ask about taking part.
About this study
CALD is an inflammatory demyelinating disease that causes severe motor and cognitive deficit leading to rapid death. Hematopoietic stem cell transplantation (HSCT) can halt neuroinflammation in CALD through the replacement of microglia (i.e., brain immune system) but only if performed during its early phase.
Using standard brain MRI, it is estimated that only 30% of adult CALD patients are identified. Complex and lengthy clinical evaluations together with MRI reading from experts improve CALD detection but are not available in routine clinical practice.
Read more
Diffusion tensor imaging is a quantitative microstructural technique that can identify neuroinflammation at a very early stage. Still, its implementation in clinical practice has been very limited due to high inter-center measurements variability and bias due to data quality issues. The approach we will use solves these problems by introducing an automatic calibration and standardization with systematic quality control enabling the use of all MRI scanners in clinical settings.
The innovative aspect of this project lies on the validation of an expert-independent prognosis biomarker able to specifically identify patients at high-risk to convert to CALD so that treatment can be initiated at the early stage of neuroinflammation.
We aim to demonstrate that this tool has at least a 2-fold sensitivity compared to the current standard of care.
Read the detailed description
X-linked adrenoleukodystrophy (ALD, ORPHA:43, prevalence 1/15,000) is a rare white matter degenerative disease caused by pathogenic variants in the ABCD1 gene localised on the X chromosome. All men carrying ABCD1 pathogenic variants develop a slowly progressive myeloneuropathy (adrenomyeloneuropathy, AMN) in adulthood. Furthermore, men carrying ABCD1 pathogenic variants may also present with a rapidly progressive inflammatory leukodystrophy called cerebral ALD (CALD). Because ABCD1 variants do not predict the risk of CALD, the current standard of care is to annually monitor disease evolution by performing brain MRI and clinical evaluation to detect CALD conversion.
In adults, the inconsistency of Gadolinium contrast enhancement - the main CALD diagnosis criterion - and the presence of diffuse increase in signal of the white matter related to AMN, make the detection of true inflammatory hypersignals of the white matter (scored with the Loes score) increasingly difficult, and subject to inter-observer and inter-machine variability. Due to these limitations, and since standard MRI does not quantify myelin content or axonal injury, expert centres complement their imaging data with a battery of clinical tests - i.e., Adult ALD Clinical Scale (AACS) and Expanded Disability Severity Score (EDSS) - and neuropsychological testing to determine the disease stage of each patient with the aim to propose the best therapeutic options.
When CALD is not treated, inflammatory demyelinating lesions will cause severe motor and cognitive deficit and patients bear the risks to die within 2 to 3 years. The medical procedure of choice for males with CALD is allogenic hematopoietic stem cell transplantation (AlloHSCT) as it can stop the progression of demyelinating lesions, but only if performed during the early phase of the disease, when patients have minimal brain lesions and no or minor clinical symptoms. This treatment is ineffective or even harmful in patients in advanced stages due to the toxicity related to myeloablation protocols. In the current standard of care, the lack of early diagnostic biomarkers of CALD hampers the optimal use of AlloHSCT resulting in almost 50% mortality in adults developing CALD.
Thus, there is a crucial need for novel sensitive techniques or biomarkers easily deployable in clinical routine allowing to identify as early as possible the acute demyelinating process underlying CALD conversion.
This study aims to validate the use of an imaging biomarker, RD-index19-change, as an early diagnostic biomarker for CALD. This marker is an integrated measure of changes in cerebral regional radial diffusivity (RD) calculated from Diffusion Tensor Imaging (DTI). The RD-index19-change biomarker available in brainTale-care, a medical device developed by brainTale, can be automatically computed from MRI acquisition data in clinical routine.
The study aims to demonstrate that RD-index19-change of at least 1 point between two consecutive annual measurements has a sensitivity significantly greater than 60% and specificity significantly greater than 80%, as Objective Performance Criteria, to detect CALD conversion before or at the same time as the best experts in the field of CALD diagnosis.
The reference diagnosis of CALD will be established by an expert committee comprising 3 experts in neuroradiology, white matter diseases and CALD, based on the following information:
- One-year progression of white matter brain lesions as quantified by a Loes score change and/or the appearance of Gadolinium enhancement. The Loes scoring will be performed by an expert neuroradiologist trained to identify specific ALD lesion changes. Experts will have access to FLAIR and T1 pre- and post-contrast images.
- Increase of AACS, and especially the cerebral domain of AACS, C-AACS.
- The general disability scale EDSS
- Neuropsychological tests to evaluate processing speed, recall memory, anxiety (State-Trait Anxiety Inventory) and depression (Beck Depression Inventory)
In order for the reference diagnosis to be independent of the biomarker results, the expert committee will be blinded to the results of RD-index19-change.
The experts will also be blinded to the results of other potential biomarkers of CALD conversion that will be evaluated as secondary endpoints, i.e., plasma NfL and other DTI biomarkers (FA-index19-change, MD-index19-change and AD-index19-change).
RD-index19_change from yearly visit to yearly visit will be automatically computed from DTI acquisitions. It will therefore be independent from any clinical information or expert assessment.
The confirmation by this study that RD-index19-change can reliably detect CALD at an early stage of cerebral demyelination in an expert-independent manner will allow that:
- More CALD patients can be detected early enough to undergo AlloHSCT. The RD-index19-change should at least double the number of patients efficiently treated for this devastating neurodegenerative condition.
- Thanks to the early detection using the RD-index19-change, patients will face a decreased risk of morbidity and mortality due to AlloHSCT itself
- Patients can be followed wherever they live in France as the acquisition of MRI data for RD-index19-change calculation can be achieved on every local MR scanner after simple initial calibration.
- Besides the validation of the RD-index19-change, the CALDIFF study will greatly increase the awareness of patients, but also neurologists, about the risk of CALD in ABCD1-mutated men on a nationwide scale
- Conditions
- X-linked Adrenoleukodystrophy
- Being tested
- brainQuant module of brainTale-care platform
- Keywords
- Cerebral adrenoleukodystrophy (CALD), adrenomyeloneuropathy (AMN), ABCD1, MRI, Diffusion Tensor Imaging (DTI), Brain-Quant, Male, Adult
- Medical subject headings
- Adrenoleukodystrophy
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
brainQuant module of brainTale-care platformDevice
brainQuant is a software module of brainTale-care medical device (a medical device software as a service (web platform) ) for the automatic processing of brain diffusion Magnetic resonance images and the provision of the diffusion regional standardised parameters.
| Study group | Role | What they receive |
|---|---|---|
| Patients | Patients with ABCD1 pathogenic variant Receives: Device: brainQuant module of brainTale-care platform | |
| Healthy volunteers | Healthy volunteers inclusion in order to calibrate the MRI machine used and its settings. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Sensitivity of RD-index19 change of at least 1 point between two consecutive annual measurements to diagnose CALD before or at the same time than the reference diagnostic made by an expert committee
The expert committee comprising 3 experts in neuroradiology blinded to the RD-index19 change results.
The study aims to demonstrate that RD-index19-change of at least 1 point between two consecutive annual measurements has a sensitivity significantly greater than 60% to detect CALD conversion before or at the same time as the best experts in the field of CALD diagnosis.
Measured: 1 year, 2 years, 3 years
Specificity of RD-index19 change of at least 1 point between two consecutive annual measurements with repect to CALD conversion before or at the same time than the reference diagnostic made by an expert committee
The expert committee comprising 3 experts in neuroradiology blinded to the RD-index19 change results.
The study aims to demonstrate that RD-index19-change of at least 1 point between two consecutive annual measurements has a specificity significantly greater than 80% with repect to CALD conversion before or at the same time as the best experts in the field of CALD diagnosis.
Measured: 1 year, 2 years, 3 years
Secondary outcomes (16)
Sensitivity values of plasma NfL with regard to CALD diagnosis
Measured: 1 year, 2 years, 3 years
Specificity values of plasma NfL with regard to CALD diagnosis
Measured: 1 year, 2 years, 3 years
Sensitivity values of FA-index19-change with regard to CALD diagnosis
Measured: 1 year, 2 years, 3 years
Specificity values of FA-index19-change with regard to CALD diagnosis
Measured: 1 year, 2 years, 3 years
Sensitivity values of MD-index19-change with regard to CALD diagnosis
Measured: 1 year, 2 years, 3 years
Specificity values of MD-index19-change with regard to CALD diagnosis
Measured: 1 year, 2 years, 3 years
Sensitivity values of AD-index19-change with regard to CALD diagnosis
Measured: 1 year, 2 years, 3 years
Specificity values of AD-index19-change with regard to CALD diagnosis
Measured: 1 year, 2 years, 3 years
Correlation between the clinical markers of reference in ALD (AACS (Adult ALD Clinical Scale) and EDSS (Expanded Disability Status Scale)) and RD-index19-change
Measured: 1 year, 2 years, 3 years
Correlation between the clinical markers of reference in ALD (AACS and EDSS) and FA-index19-change
Measured: 1 year, 2 years, 3 years
Correlation between the clinical markers of reference in ALD (AACS and EDSS) and MD-index19-change
Measured: 1 year, 2 years, 3 years
Correlation between the clinical markers of reference in ALD (AACS and EDSS) and AD-index19-change
Measured: 1 year, 2 years, 3 years
Correlation between the Loes score (i.e., imaging marker of reference in ALD) and RD-index19-change
Measured: 1 year, 2 years, 3 years
Correlation between the Loes score (i.e., imaging marker of reference in ALD) and FA-index19-change
Measured: 1 year, 2 years, 3 years
Correlation between the Loes score (i.e., imaging marker of reference in ALD) and MD-index19-change
Measured: 1 year, 2 years, 3 years
Correlation between the Loes score (i.e., imaging marker of reference in ALD) and AD-index19-change
Measured: 1 year, 2 years, 3 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted22 Jun 2023
- Study startSep 2023 (estimated)
- Primary completionSep 2028 (estimated)
- Study completionSep 2028 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for X-linked AdrenoleukodystrophyStudies of the same condition, open and under way.
- More trials run by Assistance Publique - Hôpitaux de ParisThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 200 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Assistance Publique - Hôpitaux de Paris
- Sponsor type
- University, hospital or other
- Collaborators
- Braintale
- Responsible party
- Sponsor
- Investigators
- Fanny MOCHEL, MD, PhD, Principal investigator, APHP - Pitié-Salpêtrière Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05911919
- Sponsor's protocol ID
- APHP220801
- Other IDs
- IDRCB
- Acronym
- CALDIFF
- Status last verified
- Jun 2023
- First submitted
- 12 Jun 2023
- Last updated
- 3 Jul 2023
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: The procedures enforced by the French data privacy authority (CNIL, Commission nationale de l'informatique et des libertés) do not allow the transmission of the database, nor the information and consent documents signed by the patients. Consultation by the editorial board or interested researchers of individual participant data that underlie the results reported in the article after deidentification may nevertheless be considered, subject to prior determination of the terms and conditions of such consultation and in respect for compliance with the applicable regulations.
Study at a glance
From the registry record, last updated by the sponsor on 3 Jul 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Validation of a Prognostic Biomarker Using Brain Diffusion MRI in X-linked Adrenoleukodystrophy
- ClinicalTrials.gov ID
- NCT05911919
- Acronym / sponsor ID
- CALDIFF / APHP220801
- Conditions
- X-linked Adrenoleukodystrophy
- Keywords
- Cerebral adrenoleukodystrophy (CALD), adrenomyeloneuropathy (AMN), ABCD1, MRI, Diffusion Tensor Imaging (DTI), Brain-Quant, Male, Adult
- Study type
- Observational
- Recruitment status
- Not yet recruiting
- Enrolment
- 200 participants (estimated)
- Lead sponsor
- Assistance Publique - Hôpitaux de ParisUniversity, hospital or other
- Collaborators
- Braintale
- Study start
- Sep 2023 (estimated)
- Primary completion
- Sep 2028 (estimated)
- Study completion
- Sep 2028 (estimated)
- First posted
- 22 Jun 2023 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
CALD is an inflammatory demyelinating disease that causes severe motor and cognitive deficit leading to rapid death. Hematopoietic stem cell transplantation (HSCT) can halt neuroinflammation in CALD through the replacement of microglia (i.e., brain immune system) but only if performed during its early phase.
Using standard brain MRI, it is estimated that only 30% of adult CALD patients are identified. Complex and lengthy clinical evaluations together with MRI reading from experts improve CALD detection but are not available in routine clinical practice.
Diffusion tensor imaging is a quantitative microstructural technique that can identify neuroinflammation at a very early stage. Still, its implementation in clinical practice has been very limited due to high inter-center measurements variability and bias due to data quality issues. The approach we will use solves these problems by introducing an automatic calibration and standardization with systematic quality control enabling the use of all MRI scanners in clinical settings.
The innovative aspect of this project lies on the validation of an expert-independent prognosis biomarker able to specifically identify patients at high-risk to convert to CALD so that treatment can be initiated at the early stage of neuroinflammation.
We aim to demonstrate that this tool has at least a 2-fold sensitivity compared to the current standard of care.
Detailed description
X-linked adrenoleukodystrophy (ALD, ORPHA:43, prevalence 1/15,000) is a rare white matter degenerative disease caused by pathogenic variants in the ABCD1 gene localised on the X chromosome. All men carrying ABCD1 pathogenic variants develop a slowly progressive myeloneuropathy (adrenomyeloneuropathy, AMN) in adulthood. Furthermore, men carrying ABCD1 pathogenic variants may also present with a rapidly progressive inflammatory leukodystrophy called cerebral ALD (CALD). Because ABCD1 variants do not predict the risk of CALD, the current standard of care is to annually monitor disease evolution by performing brain MRI and clinical evaluation to detect CALD conversion.
In adults, the inconsistency of Gadolinium contrast enhancement - the main CALD diagnosis criterion - and the presence of diffuse increase in signal of the white matter related to AMN, make the detection of true inflammatory hypersignals of the white matter (scored with the Loes score) increasingly difficult, and subject to inter-observer and inter-machine variability. Due to these limitations, and since standard MRI does not quantify myelin content or axonal injury, expert centres complement their imaging data with a battery of clinical tests - i.e., Adult ALD Clinical Scale (AACS) and Expanded Disability Severity Score (EDSS) - and neuropsychological testing to determine the disease stage of each patient with the aim to propose the best therapeutic options.
When CALD is not treated, inflammatory demyelinating lesions will cause severe motor and cognitive deficit and patients bear the risks to die within 2 to 3 years. The medical procedure of choice for males with CALD is allogenic hematopoietic stem cell transplantation (AlloHSCT) as it can stop the progression of demyelinating lesions, but only if performed during the early phase of the disease, when patients have minimal brain lesions and no or minor clinical symptoms. This treatment is ineffective or even harmful in patients in advanced stages due to the toxicity related to myeloablation protocols. In the current standard of care, the lack of early diagnostic biomarkers of CALD hampers the optimal use of AlloHSCT resulting in almost 50% mortality in adults developing CALD.
Thus, there is a crucial need for novel sensitive techniques or biomarkers easily deployable in clinical routine allowing to identify as early as possible the acute demyelinating process underlying CALD conversion.
This study aims to validate the use of an imaging biomarker, RD-index19-change, as an early diagnostic biomarker for CALD. This marker is an integrated measure of changes in cerebral regional radial diffusivity (RD) calculated from Diffusion Tensor Imaging (DTI). The RD-index19-change biomarker available in brainTale-care, a medical device developed by brainTale, can be automatically computed from MRI acquisition data in clinical routine.
The study aims to demonstrate that RD-index19-change of at least 1 point between two consecutive annual measurements has a sensitivity significantly greater than 60% and specificity significantly greater than 80%, as Objective Performance Criteria, to detect CALD conversion before or at the same time as the best experts in the field of CALD diagnosis.
The reference diagnosis of CALD will be established by an expert committee comprising 3 experts in neuroradiology, white matter diseases and CALD, based on the following information:
- One-year progression of white matter brain lesions as quantified by a Loes score change and/or the appearance of Gadolinium enhancement. The Loes scoring will be performed by an expert neuroradiologist trained to identify specific ALD lesion changes. Experts will have access to FLAIR and T1 pre- and post-contrast images.
- Increase of AACS, and especially the cerebral domain of AACS, C-AACS.
- The general disability scale EDSS
- Neuropsychological tests to evaluate processing speed, recall memory, anxiety (State-Trait Anxiety Inventory) and depression (Beck Depression Inventory)
In order for the reference diagnosis to be independent of the biomarker results, the expert committee will be blinded to the results of RD-index19-change.
The experts will also be blinded to the results of other potential biomarkers of CALD conversion that will be evaluated as secondary endpoints, i.e., plasma NfL and other DTI biomarkers (FA-index19-change, MD-index19-change and AD-index19-change).
RD-index19_change from yearly visit to yearly visit will be automatically computed from DTI acquisitions. It will therefore be independent from any clinical information or expert assessment.
The confirmation by this study that RD-index19-change can reliably detect CALD at an early stage of cerebral demyelination in an expert-independent manner will allow that:
- More CALD patients can be detected early enough to undergo AlloHSCT. The RD-index19-change should at least double the number of patients efficiently treated for this devastating neurodegenerative condition.
- Thanks to the early detection using the RD-index19-change, patients will face a decreased risk of morbidity and mortality due to AlloHSCT itself
- Patients can be followed wherever they live in France as the acquisition of MRI data for RD-index19-change calculation can be achieved on every local MR scanner after simple initial calibration.
- Besides the validation of the RD-index19-change, the CALDIFF study will greatly increase the awareness of patients, but also neurologists, about the risk of CALD in ABCD1-mutated men on a nationwide scale
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Patients | – | Device: brainQuant module of brainTale-care platformPatients with ABCD1 pathogenic variant |
| Healthy volunteers | – | –Healthy volunteers inclusion in order to calibrate the MRI machine used and its settings. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
- Study population
- Adult males carrying an ABCD1 pathogenic variant
Key inclusion criteria (9 listed)
- > 18 years old
- Male gender
- Genetically diagnosed with ALD by carrying an ABCD1 pathogenic variant
- Signed written informed consent
- Affiliation to a social security regime (patient with AME cannot be included)
Key exclusion criteria (12 listed)
- Patient with non-arrested CALD
- Other neurological conditions such as brain tumour, stroke or a traumatic head injury
- Contraindication to MRI (claustrophobia, implanted metal components in the head, panic disorder, epilepsy)
- People under legal protection measure (tutorship, curatorship or safeguard measures)
- Patient included in another interventional clinical trial
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| brainQuant module of brainTale-care platformbrainQuant is a software module of brainTale-care medical device (a medical device software as a service (web platform) ) for the automatic processing of brain diffusion Magnetic resonance images and the provision of the diffusion regional standardised parameters. | Device | Patients |
Primary outcome
Sensitivity of RD-index19 change of at least 1 point between two consecutive annual measurements to diagnose CALD before or at the same time than the reference diagnostic made by an expert committee
Time frame: 1 year, 2 years, 3 years
The expert committee comprising 3 experts in neuroradiology blinded to the RD-index19 change results. The study aims to demonstrate that RD-index19-change of at least 1 point between two consecutive annual measurements has a sensitivity significantly greater than 60% to detect CALD conversion before or at the same time as the best experts in the field of CALD diagnosis.
Specificity of RD-index19 change of at least 1 point between two consecutive annual measurements with repect to CALD conversion before or at the same time than the reference diagnostic made by an expert committee
Time frame: 1 year, 2 years, 3 years
The expert committee comprising 3 experts in neuroradiology blinded to the RD-index19 change results. The study aims to demonstrate that RD-index19-change of at least 1 point between two consecutive annual measurements has a specificity significantly greater than 80% with repect to CALD conversion before or at the same time as the best experts in the field of CALD diagnosis.
16 secondary outcomes
Sensitivity values of plasma NfL with regard to CALD diagnosis
Time frame: 1 year, 2 years, 3 years
Specificity values of plasma NfL with regard to CALD diagnosis
Time frame: 1 year, 2 years, 3 years
Sensitivity values of FA-index19-change with regard to CALD diagnosis
Time frame: 1 year, 2 years, 3 years
Specificity values of FA-index19-change with regard to CALD diagnosis
Time frame: 1 year, 2 years, 3 years
Sensitivity values of MD-index19-change with regard to CALD diagnosis
Time frame: 1 year, 2 years, 3 years
Specificity values of MD-index19-change with regard to CALD diagnosis
Time frame: 1 year, 2 years, 3 years
Sensitivity values of AD-index19-change with regard to CALD diagnosis
Time frame: 1 year, 2 years, 3 years
Specificity values of AD-index19-change with regard to CALD diagnosis
Time frame: 1 year, 2 years, 3 years
Correlation between the clinical markers of reference in ALD (AACS (Adult ALD Clinical Scale) and EDSS (Expanded Disability Status Scale)) and RD-index19-change
Time frame: 1 year, 2 years, 3 years
Correlation between the clinical markers of reference in ALD (AACS and EDSS) and FA-index19-change
Time frame: 1 year, 2 years, 3 years
Correlation between the clinical markers of reference in ALD (AACS and EDSS) and MD-index19-change
Time frame: 1 year, 2 years, 3 years
Correlation between the clinical markers of reference in ALD (AACS and EDSS) and AD-index19-change
Time frame: 1 year, 2 years, 3 years
Correlation between the Loes score (i.e., imaging marker of reference in ALD) and RD-index19-change
Time frame: 1 year, 2 years, 3 years
Correlation between the Loes score (i.e., imaging marker of reference in ALD) and FA-index19-change
Time frame: 1 year, 2 years, 3 years
Correlation between the Loes score (i.e., imaging marker of reference in ALD) and MD-index19-change
Time frame: 1 year, 2 years, 3 years
Correlation between the Loes score (i.e., imaging marker of reference in ALD) and AD-index19-change
Time frame: 1 year, 2 years, 3 years
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 3 Jul 2023.
- Individual participant dataSharing planned: Yes. The procedures enforced by the French data privacy authority (CNIL, Commission nationale de l'informatique et des libertés) do not allow the transmission of the database, nor the information and consent documents signed by the patients. Consultation by the editorial board or interested researchers of individual participant data that underlie the results reported in the article after deidentification may nevertheless be considered, subject to prior determination of the terms and conditions of such consultation and in respect for compliance with the applicable regulations.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Fanny MOCHEL, MD, PhD principal investigator
APHP - Pitié-Salpêtrière Hospital
Questions about this trial
What is this clinical trial studying?
An observational study of X-linked Adrenoleukodystrophy, run by Assistance Publique - Hôpitaux de Paris.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 9 inclusion and 12 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 3 Jul 2023. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Fanny MOCHEL, MD, PhD (+33157274482, fanny.mochel@upmc.fr), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Sensitivity of RD-index19 change of at least 1 point between two consecutive annual measurements to diagnose CALD before or at the same time than the reference diagnostic made by an expert committee (time frame: 1 year, 2 years, 3 years). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 3 Jul 2023.