Massachusetts General Hospital, Neuromuscular Diagnostic Center
Boston, Massachusetts, 02114, United States
NCT Number: NCT07226830
Evaluate the feasibility of using digital health technologies to monitor disease symptoms over time in individuals with gMG who are initiating treatment with VYVGART® or VYVGART Hytrulo®.
Study subjects will be screened and enrolled at Massachusetts General Brigham Hospital to participate in this 16 week 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 of this observational clinical study is to remotely evaluate MG-specific outcomes using digital health technologies in individuals with gMG during two treatment cycles with VYVGART® or VYVGART Hytrulo®.
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.
This is an analytic observational study following participants over the course of 16 weeks. Subjects diagnosed with gMG who are initiating treatment with VYVGART® or VYVGART Hytrulo® will be screened and recruited to participate in this non--interventional study.
In addition to standard clinical assessments, the study will leverage BioDigit MG to remotely collect high-frequency wearable and digital health data from participants in their home environments during two treatment cycles with VYVGART® or VYVGART Hytrulo®. The frequency of at-home data collection is increased during the first 2 weeks and last 2 weeks of each treatment cycle to provide a more granular data both the initial phase (first two weeks) and the last two weeks of each treatment cycle. A key objective of the project is to measure changes in disease symptoms using both patient reported outcomes (PROs) and digital measures in individuals with gMG during the treatment cycles. The investigators will also evaluate if the combination of sensors-derived and digital measures from the BioDigit MG serves as a significant early predictor of the standard clinical outcomes.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: From baseline to 16 weeks.
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 11 times at home, and once at each clinical visit.
Time frame: From baseline to 16 weeks.
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 11 times at home, and once at each clinical visit.
Time frame: From baseline to 16 weeks. Collected 11 times at home, and once at each clinical visit.
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.
Time frame: From baseline to 16 weeks.
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, Visit 2 (approximately week 8) , and Visit 3 (approximately week 16)
Time frame: From baseline to week 16.
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, Visit 2 (approximately week 8), and Visit 3 (approximately week 16).
Time frame: From baseline to 16 weeks.
Speech data will be collected from participants while reading a standard Rainbow passage. Speech data will be collected 11 times using the at-home platform. Speech data will also be collected at each clinical visit.
BioDigit Speech, an 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 16 weeks.
Video data will be collected from participants while performing a standard upward gaze test. Video data will be collected 11 times using the at-home platform. Video data will also be collected at each clinical visit.
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 16 weeks.
Scores for the MGC range from 0-50. A lower score represents a better outcome and a higher score is a worse outcome. Collected once at each clinical visit.
Time frame: From baseline to 16 weeks.
Scores for the QMG range from 0-39. A lower score represents a better outcome and a higher score is a worse outcome. Collected once at each clinical visit.
Time frame: From baseline to 16 weeks.
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 end of study visit.
Time frame: From baseline to 16 weeks.
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 11 times at home, and once at each clinical visit.
Time frame: From baseline to 16 weeks.
Speech data will be collected from participants while reading a standard Rainbow passage. Speech data will be collected 11 times using the at-home platform. Speech data will also be collected at each clinical visit.
BioDigit Speech, an 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: Baseline to 16 weeks.
Video data will be collected from participants while performing a standard upward gaze test. Video data will be collected 11 times using the at-home platform. Video data will also be collected at each clinical visit.
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 16 weeks.
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 end of study visit
Contact information is provided by the study sponsor or research team.
Ana Enriquez
CONTACT
Ashkan Vaziri, PhD
CONTACT
BioSensics
Industry
Acronym: BioDigit MG-03
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
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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