Chu de Limoges
Limoges, 87042, France
NCT Number: NCT07591779
Charcot-Marie-Tooth disease type 1A (CMT1A) is the most common hereditary peripheral neuropathy, affecting approximately 26,000 patients in France. It presents as chronic and progressive sensorimotor deficits predominantly affecting the distal lower limbs, with onset typically in childhood. There is currently no specific pharmacological treatment; management remains symptomatic.
This research will:
In the long run, validated wearable sensors could improve patient follow-up, personalize rehabilitation, and support the design of clinical trials for CMT1A - including trials of the novel "Nano-Cur" treatment currently under development.
Trial opening soon.
Get Notified18 year and older
All sexes
Observational
Limoges, 87042, France
Peripheral neuropathies are frequent conditions affecting peripheral nerves with highly varied etiologies. Among genetic causes, Charcot-Marie-Tooth (CMT) disease is the leading hereditary neuropathy, with approximately 26,000 patients in France. The most frequent form, CMT1A, is caused by a duplication of the PMP22 gene, leading to chronic progressive sensorimotor deficits predominantly affecting the distal lower limbs, with onset in childhood and significant impact on quality of life.
No specific pharmacological treatment exists for CMT1A. The CMT-FOM scale (Mandarakas et al., 2024, Neurology, 102: e207963) constitutes the reference for functional evaluation, but requires lengthy evaluation and a specialized technical platform, making it unsuitable for routine outpatient consultations. Furthermore, punctual evaluations may be biased by external factors (fatigue, mood, motivation) without faithfully reflecting the patient's daily neurological status.
Non-invasive wearable physical activity sensors offer a promising alternative, enabling repeated and ecologically valid measurements directly at home and over prolonged periods. This study aims to assess whether such ambulatory sensors can evaluate functional impairments in CMT1A patients equivalently to a comprehensive CMT-FOM evaluation.
The study will be conducted among CMT1A patients followed at the National Reference Centre for Rare Peripheral Neuropathies (Service de Neurologie, CHU de Limoges), in partnership with the Quantified Movement Analysis Laboratory (Laboratoire d'AQM), Service de Médecine Physique et de Réadaptation (CHU de Limoges). It represents a collaborative effort between research units NeurIT (UR20218) and HAVAE (UR20217).
This project also forms part of the broader development of the "Nano-Cur" therapeutic compound (NeurIT/LABCiS collaboration), having led to a national and international patent filing and the creation of the start-up Curlim (AFM-Téléthon/AVRUL support).
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: Day 1 (CMT-FOM)
Correlation coefficient (r : -1 to +1) between mean daily step count (steps/day) over 7 days and CMT-FOM total score obtained at Day 1 hospital visit.
Time frame: Day 7 (home monitoring)
Correlation coefficient (r : -1 to +1) between mean daily step count (steps/day) over 7 days and CMT-FOM total score obtained at Day 1 hospital visit.
Time frame: Day 1
Correlation coefficient (r : -1 to +1) between mean daily activity counts (raw accelerometry counts/day) over 7 days and CMT-FOM total score.
Time frame: Day 7 (home monitoring)
Correlation coefficient (r : -1 to +1) between mean daily activity counts (raw accelerometry counts/day) over 7 days and CMT-FOM total score.
Time frame: Day 1
Correlation coefficient (r : -1 to +1) between mean daily sedentary time (minutes/day) over 7 days and CMT-FOM total score.
Time frame: Day 7 (home monitoring)
Correlation coefficient (r : -1 to +1) between mean daily sedentary time (minutes/day) over 7 days and CMT-FOM total score.
Time frame: Day 1
Correlation coefficient (r : -1 to +1) between ActiGraph-derived metrics and CMT-FOM sub-domain scores (upper limb, lower limb, balance, endurance). Reported separately per sub-score.
Time frame: Day 7 (home monitoring)
Correlation coefficients (r : -1 to +1) between ActiGraph-derived metrics and CMT-FOM sub-domain scores (upper limb, lower limb, balance, endurance). Reported separately per sub-score.
Time frame: Day 7 (home monitoring)
Test-retest reliability (ICC (0 to 1), two-way mixed, absolute agreement) of daily step count measured by ActiGraph LEAP across 7 home monitoring days.
Time frame: Day 7 (home monitoring)
Day-to-day variability expressed as CV (%) for raw accelerometry activity counts across 7 days.
Time frame: Day 7 (home monitoring)
MDC95 of daily step count (steps/day), calculated from SEM and ICC, representing the smallest change exceeding measurement error.
Time frame: Day 1
Correlation (r : -1 to +1) between mean daily steps/day and CMT-NS total score at Day 1.
Time frame: Day 1
Correlation (r : -1 to +1) between mean daily steps/day and 6MWT distance (meters) measured at Day 1.
Time frame: Day 1
Correlation (r : -1 to +1) between mean daily steps/day and 10MWT comfortable-pace speed (m/s) at Day 1.
Time frame: Day 1
Mean (±SD) daily step count compared across CMT-FOM severity quartiles (Q1-Q4) to characterise activity profiles by disease severity.
Time frame: Day 7 (home monitoring)
Mean (±SD) daily step count compared across CMT-FOM severity quartiles (Q1-Q4) to characterise activity profiles by disease severity.
Time frame: Day 1
Mean (±SD) daily sedentary time (min/day) compared across CMT-FOM severity quartiles.
Time frame: Day 7 (home monitoring)
Mean (±SD) daily sedentary time (min/day) compared across CMT-FOM severity quartiles.
Contact information is provided by the study sponsor or research team.
Maxence COMPAGNAT, Pr
CONTACT
Simon FRACHET, Dr
CONTACT
University Hospital, Limoges
Other
Study of the Relationship Between Clinical and Functional Characteristics of Patients With CMT1A Disease and Their Level of Physical Activity at Home Measured Using Portable Electronic Sensors
Acronym: CMT1A-HOME
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