Remote Monitoring of Daily Activity with Wearable Sensors in Adults with Charcot-Marie-Tooth Disease


Topic:

Other

Poster Number: 348 T

Author(s):

Kayla Cornett, PhD, The University of Sydney School of Health Sciences, Faculty of Medicine and Health, NSW Australia, Ram Kinker Mishra, PhD, BioSensics, Newton MA, Adonay Nunes Sastre, PhD, BioSensics, Newton MA, Kayla Clem, DPT, Neurology & Neuromuscular Care Center, Denton TX, Tim Estilow, OTR/L, Children’s Hospital of Philadelphia, Philadelphia PA, Courtney Hollett, Hereditary Neuropathy Foundation, New York NY, Allison Moore, Hereditary Neuropathy Foundation, New York NY, Ashkan Vaziri, PhD, BioSensics, Newton MA

Background
Clinical Outcome Assessments are important for measuring disease severity and evaluating the effectiveness of therapeutic interventions however are only a snapshot of a person’s physical ability and are subject to how the disease is affecting the individual on any given day. Daily activity measures are a critical unmet need to assess the effect of interventions. The aim of this study was to prospectively measure physical activity in children and adults with Charcot-Marie-Tooth disease (CMT) in their home environment and correlate with clinical outcome measures.
Methods
46 Participants (19-70 years, 80% female) were recruited for this study at annual Hereditary Neuropathy Foundation Summits. All participants completed the CMT-FOM. Daily activity was monitored continuously for 14 days at home using PAMSysTM pendant sensors (BioSensics, Newton MA). Sensor-derived metrics were compared with the CMT-FOM. One-year follow up data collection is underway.
Results
Participants ranged from mildly to severely affected as measured by the CMT-FOM (48.8 ± 13.9, range: 25 – 84). Compliance with PAMSys pendant and wrist sensors was excellent with mean non-compliance of 3.2% (46.7 minutes per day). Disease severity, measured by the CMT-FOM was significantly correlated with daily step counts (ρ=-0.50, p=0.002), cadence (steps/min) (ρ=-0.39, p=0.018) and percentage of time spent standing (ρ=-0.356, p=0.031) and walking (ρ=-0.476, p=0.003).
Conclusion
Daily activity of adults with CMT is significantly correlated with clinical outcome assessment data. Wearable sensors provide real-world evidence that reflects patients’ daily activity in their natural environments.