Massachusetts General Hospital, Neuromuscular Diagnostic Center
Boston, Massachusetts, 02114, United States
NCT Number: NCT07224386
Evaluate the feasibility of using digital health technologies to monitor symptoms in myasthenia gravis (MG).
Study subjects will be screened and enrolled at Massachusetts General Brigham Hospital to participate in this 12 month observational study. Study subjects will be asked to wear multiple wearable sensors to monitor their physical activity and PPG during daily activities. Participants will also complete speech, video, and ePRO and eCOA digital assessments at home and during study visits.
The primary objective for this observational study is to measure the correlation of sensor-derived measures of physical activity to MG-specific ratings of MG-ADL, QMG, MGC, and Neuro-QoL Fatigue
Trial opening soon.
Get Notified18 year–80 year
All sexes
Observational
Boston, Massachusetts, 02114, United States
MG is a chronic autoimmune neuromuscular disease characterized by fluctuating muscle weakness that interferes with activities of daily living. Ocular, facial, swallowing, neck, limb and breathing muscles can be affected. The prevalence of MG is estimated at approximately 60,000 patients in the United States. MG symptoms are currently assessed in person through a careful history and physical exam by a neuromuscular disease expert. This is time-consuming, costly, and poses challenges in a chronic disease with fluctuating symptoms, where patients may not demonstrate any abnormality at the time of in-clinic assessment. The principal means of measuring disease severity are specific scales such as the MGC, QMG and the MG Manual Muscle Testing (MMT) scales. Although valuable, these scales are subjective and require training to administer correctly. Additionally, they provide only snapshot of a patient's disease and do not adequately reflect the spectrum of fluctuating weakness, which is a hallmark of MG. Wearable sensors and digital health technologies could enable objective, sensitive, continuous assessment of physical activity as well as motor and ocular impairments in individuals with MG.
BioSensics LLC (Newton, MA) is a medical device company specializing in wearable sensors and digital health technology for healthcare. BioSensics LLC offers a wearable sensor system and digital health solution for long-term remote monitoring of motor performance during everyday life.
The first phase of this project (NCT06277830) was conducted by Dr. Amanda Guidon at MGB, recruiting 20 patients with generalized MG over the course of 5 months to test initial feasibility of BioDigit MG.
This is an analytic observational study following participants over the course of 12 months. Subjects with documented diagnosis of MG with MGFA severity classes IIa/b, IIIa/b or IVa/b will be screened and recruited to participate in this non--interventional study.
The objective of the study is to evaluate the feasibility of using wearable sensors and digital health technologies to measure motor and speech function, as well as developing measures of ocular and facial expression to monitor the progression of the disease for people with MG. To achieve these objectives, we will conduct an observational study to investigate the correlation between outcomes as measured by the PAMSys sensor and digital health technologies with the total score and sub-scores of MG-ADL, QMG, MGC, and Fatigue Short Form of the Neuro-QOL in individuals with different MGFA severity Classes (Class IIa/b, IIIa/b or IVa/b).
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: From baseline 12 months.
Daily walking duration (hours) will be measured by the PAMSys pendant. PAMSys is a FDA-listed Class II wearable device for measuring physical activity and posture during activities of daily living.
PAMSys will be worn for 1 week before the baseline, 3 month, 6 month, 9 month, and 12 month visits.
Time frame: From baseline to 12 months.
Daily number of sit to stand transitions will be measured by the PAMSys pendant. PAMSys is a FDA-listed Class II wearable device for measuring physical activity and posture during activities of daily living.
PAMSys will be worn for 1 week before the baseline, 3 month, 6 month, 9 month, and 12 month visits.
Time frame: From baseline to 12 months.
Speech data will be collected from participants while reading a standard Rainbow passage on a biweekly basis for 12 months. BioDigit Speech, and automatic speech analysis software, will be used to analyze the collected speech data to calculate intelligibility of speech during reading a standard Rainbow passage.
Time frame: From baseline to 12 months.
Video data will be collected from participants while performing a standard upward gaze test on a biweekly basis for 12 months. BioDigit Video, an automatic video analysis software, will be used to analyze the collected video data to calculate Marginal Reflex Distance-1 during the upward gaze test.
Time frame: From baseline to 12 months.
Scores for the MG-ADL range from 0-24. A lower score represents a better outcome and a higher score is a worse outcome. Collected every two weeks.
Time frame: From baseline to 12 months.
Scores for the MGC range from 0-50. A lower score represents a better outcome and a higher score is a worse outcome. Collected every 3 months.
Time frame: From baseline to 12 months.
Scores for the MGQoL-15R range from 0-30. A lower score represents a better outcome and a higher score is a worse outcome. Collected every two weeks.
Time frame: From baseline to 12 months.
Scores for the QMG range from 0-39. A lower score represents a better outcome and a higher score is a worse outcome. Collected every 3 months.
Time frame: From baseline to 12 months.
Scores for the Neuro-QoL Fatigue range from 8-40. A lower score represents a better outcome and a higher score is a worse outcome. Collected every two weeks.
Time frame: From baseline to 12 months.
Heart rate will be measured during activities of daily living using the Samsung Galaxy watch.
Samsung Galaxy watch will be worn continuously from 1 week prior to baseline until the 12 month visit.
Time frame: From baseline to12 months
Forced vital capacity (FVC) will be measured directly by the spirometer during a standard breathing assessment. The FVC will be measured in Litres. FVC will be collected biweekly from baseline to 12 months
Time frame: From baseline to 12 months
Speech data will be collected from participants while reading a standard Rainbow passage on a biweekly basis for 12 months. BioDigit Speech, and automatic speech analysis software, will be used to analyze the collected speech data to calculate articulatory rate during reading a standard Rainbow passage.
Time frame: From baseline to 12 months.
Video data will be collected from participants while performing a standard upward gaze test on a biweekly basis for 12 months. BioDigit Video, an automatic video analysis software, will be used to analyze the collected video data to calculate eye aspect ratio during the upward gaze test.
Time frame: From baseline to 12 months.
Heart rate variability will be measured during activities of daily living using the Samsung Galaxy watch.
Samsung Galaxy watch will be worn continuously from 1 week prior to baseline until the 12 month visit.
Contact information is provided by the study sponsor or research team.
Ana Enriquez
CONTACT
Ashkan Vaziri, PhD
CONTACT
BioSensics
Industry
Acronym: BioDigit MG-02
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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