Amyotrophic Lateral Sclerosis Clinical Trial
Official title:
An Exploratory Study to Investigate the Use of Biotelemetry to Identify Markers of Disease Progression in Subjects With Amyotrophic Lateral Sclerosis
NCT number | NCT02447952 |
Other study ID # | 201283 |
Secondary ID | |
Status | Completed |
Phase | N/A |
First received | |
Last updated | |
Start date | June 30, 2015 |
Est. completion date | June 1, 2017 |
Verified date | August 2017 |
Source | GlaxoSmithKline |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Study 201283 is an exploratory, non-controlled, non-drug study in Amyotrophic Lateral
Sclerosis (ALS) subjects. This study is being conducted as the first step for developing new
meaningful measure(s) which might prove to be more effective than existing measures for
monitoring clinical function and disease course in ALS. The objective of this study is to
test novel measures of movement/physical activity, heart rate and speech and explore how they
measure disease progression by evaluating their relationship to gold standard measures of
function. This study will be conducted in two phases. A variable length Pilot Phase to test
biotelemetry instruments and algorithms reliability and ease of use/acceptance. Approximately
5 subjects will have at least 1 clinic visit to perform a series of set reference tasks while
wearing the accelerometer and electrode. Subjects will also continuously wear the
accelerometer and electrode in their routine home-life setting for approximately 3 days after
the clinic visit (i.e., home monitoring). Subjects in the Pilot Phase will continue in the
study and participate in the Core Study Phase. A 48 week Core Study Phase will be conducted
to evaluate how measures of movement/physical activity, speech and Heart Rate Variability
(HRV) relate to ALS disease progression. During this phase, a maximum of 25 subjects will be
enrolled. Subjects will attend 5 clinic visits to perform gold standard measures of function
and perform a series of set reference tasks while wearing the accelerometer and electrode. In
between clinic visits, every month subjects will attach the accelerometer and electrode and
wear it for approximately 3 days in their home. A telephone contact with the subject will be
made by the site at the end of each 3-day home monitoring period.
All third party trademark rights are the rights of their respective owners.
Status | Completed |
Enrollment | 25 |
Est. completion date | June 1, 2017 |
Est. primary completion date | June 1, 2017 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 80 Years |
Eligibility |
Inclusion Criteria: - Between 18 and 80 years of age, inclusive, at the time of signing the informed consent. - Diagnosed with ALS by a neurologist with expertise in ALS. For subjects with bulbar onset there must be objective limb involvement of at least one limb. - Diagnosed with ALS within 18 months of symptom onset. - Subjects must be ambulatory (i.e., must not be confined to a wheelchair). - Male and female subjects. - Capable of giving signed (or verbal consent or assent where applicable) informed consent as described in Protocol which includes compliance with the requirements and restrictions listed in the consent form and in protocol. - Capable and willing to comply with the requirements of the protocol (either by themselves or with assistance). Exclusion Criteria: - Neurological (other than the subject's ALS) or non-neurological co-morbidities (e.g. joint disease, respiratory disease) which limit mobility. - Clinically significant cognitive impairment in the opinion of the investigator. - Regionally restricted forms of ALS, or other atypical variants: Isolated corticobulbar pattern of ALS with normal ambulation; Flail arm syndrome; Primary lateral sclerosis; Signs of chronic partial denervation restricted to a single limb; ALS parkinsonism dementia complex - Subjects requiring mechanical ventilation (non-invasive ventilation for sleep apnoea is allowed). - Historical or current evidence of clinically significant uncontrolled disease which, in the opinion of the investigator, would put the safety of the subject at risk through participation or impact the study assessments or endpoints. - Presence of an active implantable cardiac medical device (e.g., pacemaker or implantable cardioverter-defibrillator) or at a high risk for needing external defibrillation. - History of skin hypersensitivity to adhesives. - Current participation in a clinical trial which in the opinion of the investigator and GSK medical monitor might impact the objectives of this study. |
Country | Name | City | State |
---|---|---|---|
United Kingdom | GSK Investigational Site | London | |
United Kingdom | GSK Investigational Site | Oxford |
Lead Sponsor | Collaborator |
---|---|
GlaxoSmithKline |
United Kingdom,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Other | Duration of Night Time Wear Time of the Device | Each participant was provided one accelerometer and electrode (Faros sensor and LifeInsight Hub) through which movement/physical activity data was collected throughout the study. Duration of night time wear time was the calculated as the total of the times spent [Active + day time lying + day time "sedentary not lying"] for the night time. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). NA indicates that data could not be calculated as participant number was <=1. | Up to Week 48 | |
Other | Average Time Spent Active | Number of minutes spent active per day and night over the 24-hour recording periods; averaged for each time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles) | Up to Week 48 | |
Other | Average Time Spent 'Sedentary Not Lying' | Number of minutes spent 'sedentary not lying' per day and night for 24-hour recording period; averaged for each time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Average Time Spent Lying | Number of minutes spent lying per day and night over the 24-hour recording periods; averaged for each time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Average Time Spent Sedentary. | Number of minutes spent sedentary [time spent lying + time spent sedentary not lying] per day and night over the 24-hour recording periods; averaged for each time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Time Spent With Sensor Off | Sensor off time includes the time that the sensor was either switched off or the participant was not wearing it (or both). This outcome measure was planned but not performed. | Up to Week 48 | |
Other | Total Activity Count | Total activity count for the day time and night time for the 24-hour recording periods; averaged for each time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Maximum Activity Count in a 24 Hour Period | Maximum activity count for the day time and night time for the 24-hour recording periods; averaged for each time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles) | Up to Week 48 | |
Other | Mean Maximum Activity Count in a 24 Hour Period | Mean maximum activity count of day time and night time for the 24-hour recording periods; averaged for each time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles) | Up to Week 48 | |
Other | Number of Continuous Active Periods | Active periods were catagorized as >1minute to <=2minutes, >2 minutes to <=5minutes, >5 minutes to <=15 minutes, >15 minutes to <=30 minutes, >30 minutes. Total number of 'active periods were calculated as 1minuteUp to Week 48 |
| |
Other | Percent of Time Lying Down at Night | Percent time spent lying per day and night over the 24-hour recording periods; averaged for each timepoint | Up to Week 48 | |
Other | Number of Night Time Movement Episodes Per Hour | Average number of night movement episodes per hour for each protocol time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Percent Time Night-time Rest Efficiency | Average night-time rest efficiency for each protocol time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles) | Up to Week 48 | |
Other | Rest Fragmentation Index | Rest Fragmentation Index was computed as movement time (%) divided by number of movement episodes for each protocol time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Average Duration of Night Time Movement Episodes | Average duration of movement episodes for each time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Relationship Between Average Number Night Time Movements/Hour Versus Total ALSFRS-R | Estimates for between and within subject correlation coefficients were produced following multiple linear regression analyses on the actigraphy endpoints, comparing them with the ALSFRS-R total score and the gross motor domain and fine motor domain scores. Data for between subject correlation coefficient has been presented | Up to Week 48 | |
Other | Relationship Between Average Duration Movement Episodes at Night Versus Total ALSFRS-R | Estimates for between and within subject correlation coefficients were produced following multiple linear regression analyses on the actigraphy endpoints, comparing them with the ALSFRS-R total score and the gross motor domain and fine motor domain scores. Data for between subject correlation coefficient has been presented | Up to Week 48 | |
Other | Relationship Between Average Percent Time Night Time Rest Efficiency Versus Total ALSFRS-R | Estimates for between and within subject correlation coefficients were produced following multiple linear regression analyses on the actigraphy endpoints, comparing them with the ALSFRS-R total score and the gross motor domain and fine motor domain scores. Data for between subject correlation coefficient has been presented | Up to Week 48 | |
Other | Relationship Between Average Night Time Rest Fragmentation Index Versus Total ALSFRS-R | Estimates for between and within subject correlation coefficients were produced following multiple linear regression analyses on the actigraphy endpoints, comparing them with the ALSFRS-R total score and the gross motor domain and fine motor domain scores. Data for between subject correlation coefficient has been presented | Up to Week 48 | |
Other | Mean Heart Rate Variability (HRV) While Lying (Low Frequency[LF]/High Frequency[HF]) | Mean Heart Rate Variability (HRV) averaged over 5 windows of lying down at each protocol time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Variance of HRV While Lying (LF/HF) | Variance of Heart Rate Variability (HRV) averaged over 5 windows of lying down at each protocol time point (LF/HF analysis). Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Mean HRV While Sedentary Not Lying (LF/HF) | Mean Heart Rate Variability (HRV) averaged over 5 windows of sedentary not lying at each protocol time point (LF/HF analysis). Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Variance of HRV While Sedentary Not Lying (LF/HF) | Variance of Heart Rate Variability (HRV) averaged over 5 windows of sedentary not lying at each protocol time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Mean HRV While Active (LF/HF) | Mean Heart Rate Variability (HRV) averaged over 5 windows of subjects being active at each protocol time point (LF/HF analysis). Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). NA indicates that data is not available. Standard deviation could not be calculated when number of participants was <=1 | Up to Week 48 | |
Other | Variance of HRV While Active (LF/HF) | Variance of Heart Rate Variability (HRV) averaged over 5 windows of subjects being active at each protocol time point (LF/HF analysis). Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). NA indicates that data could not be calculated as participant number was <=1 | Up to Week 48 | |
Other | Effect of Being Upright on HRV- Mean HRV (LF/HF Analysis) | The effect of being upright on mean HRV was calculated as [mean HRV while sedentary not lying minus mean HRV while lying] (LF/HF analysis). Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Effect of Being Upright on HRV Variance (LF/HF Analysis) | The effect of being upright on HRV variance was calculated as [HRV variance while sedentary not lying minus HRV variance while lying] (LF/HF analysis). Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Effect of Activity on Mean HRV (LF/HF) | The effect of activity on mean HRV was calculated as [mean HRV while sedentary not lying minus mean HRV while lying] (LF/HF analysis). Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). NA indicates that data could not be calculated as participant number was <=1. | Up to Week 48 | |
Other | Effect of Activity on HRV Variance (LF/HF Analysis) | The effect of activity on HRV variance was calculated as [HRV variance while sedentary not lying minus HRV variance while lying] (LF/HF analysis). Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). NA indicates that data could not be calculated as participant number was <=1. | Up to Week 48 | |
Other | Mean HRV Over 24 Hours - Mean Root Mean Square of the Successive Differences (RMSSD) | Mean HRV over 24 hours (RMSSD analysis), averaged for each protocol time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | HRV Variance Over 24 Hours - Mean Root Mean Square of the Successive Differences (RMSSD) Analysis | HRV variance over 24 hours (RMSSD analysis), averaged for each protocol time point. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Relationship Between Absolute Values of HRV Endpoints (LF/HF) and Absolute Value of Total ALSFRS-R | Estimates for between and within subject correlation coefficients were produced following multiple linear regression analyses on the actigraphy endpoints, comparing them with the ALSFRS-R total score and the gross motor domain and fine motor domain scores. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). NA indicates that sample size was insufficient to calculate correlation coefficient | Up to Week 48 | |
Other | Measurement of Speech Quality | Speech quality was assessed by Central Tendency of Fundamental Frequency (CTF) F0, jitter, and shimmer for 'short ah' and 'long ah' tests. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Duration of Maximum Gap Between Words | Duration of maximum gap between words during running speech to planned to analyze quality of speech however; was not performed. | Up to Week 48 | |
Other | Speaking Rate | Speaking rate was analyzed during running speech. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Average Phoneme Rate | Phoneme rate was analyzed for the single word "doily". Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Maximum Phonation Time | Maximum phonation time for the single word "doily" test was analyzed for quality of speech testing. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Seconds | |
Other | Percentage Pause Time | Percentage pause time for running speech was analyzed. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Relationship Between Absolute Values of Speech Endpoints and Absolute Value of ALSFRS-R | Mixed Model was used to calculate Repeated Measures Correlation Coefficients between the two variables when model is converged. The correlation coefficient among the repeated measurements is same for different variables. Multiple Linear Regression was used to calculate Within and Between Participant Correlation Coefficients when Mixed Model is not converged. Data for Repeated Measures Correlation Coefficient has been presented in the table below | Up to Week 48 | |
Other | Relationship Between Absolute Values of Speech Endpoints and Absolute Values of FVC | Mixed Model was used to calculate Repeated Measures Correlation Coefficients between the two variables when model is converged. The correlation coefficient among the repeated measurements is same for different variables. Multiple Linear Regression was used to calculate Within and Between Participant Correlation Coefficients when Mixed Model is not converged. Data for Between Subject Correlation Coefficient has been presented in the table below | Up to Week 48 | |
Other | Number of Participants Reporting Sensor Comfort | Participant's feedback on whether the sensor was comfortable to wear was categorized as "yes" and "no". Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Number of Participants Reporting Impact on Sleep | Participant feedback on how much the sensor impacted their sleep was categorized as "not at all", "moderately" and "minimally". Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Number of Participants With Ease of Setting up and Attaching the Sensor | The participants were required to give feedback on how easy was it to set up and/ or attach the sensor and it was categorized as "easy", "neutral" and "difficult". Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Number of Participants With Corresponding Activity Level Required to Complete Their Job | The activity level required by the participant to complete their job was recorded, and was categorized as Not working, Physical activity required, and Sedentary. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Number of Participants With Corresponding Average Activity Level During Time of Wearing the Sensor | Average activity level during the time of wearing the sensor was reported by the participants, and was categorized as very low level activity, low level activity, moderate level activity and high level activity. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Number of Participants Whose Sensor Fell Off | The participants reported whether the sensor fell off. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles). | Up to Week 48 | |
Other | Number of Participants With Adverse Events Secondary to the Devices Used or Due to Study Procedures | Only those AEs and SAEs which, in the opinion of the investigator, were related to a protocol-mandated procedure or one of the devices used in the study were reported. An AE is any untoward medical occurrence in a participant or clinical investigation participant, temporally associated with the use of a medicinal product, whether or not considered related to the medicinal product. Any untoward event resulting in death, life threatening, requires hospitalization or prolongation of existing hospitalization, results in disability/incapacity, congenital anomaly/birth defect, any other situation according to medical or scientific judgment that may not be immediately life-threatening or result in death or hospitalization but may jeopardize the participant or may require medical or surgical intervention or event associated with liver injury and impaired liver function were categorized as SAE. | Up to Week 48 | |
Other | Type of Adverse Events Secondary to the Devices Used or Due to Study Procedures | Only those AEs and SAEs which, in the opinion of the investigator, were related to a protocol-mandated procedure or one of the devices used in the study were reported. An AE is any untoward medical occurrence in a participant or clinical investigation participant, temporally associated with the use of a medicinal product, whether or not considered related to the medicinal product. Any untoward event resulting in death, life threatening, requires hospitalization or prolongation of existing hospitalization, results in disability/incapacity, congenital anomaly/birth defect, any other situation according to medical or scientific judgment that may not be immediately life-threatening or result in death or hospitalization but may jeopardize the participant or may require medical or surgical intervention or event associated with liver injury and impaired liver function were categorized as SAE. Number of AEs, SAEs and Adverse events leading to discontinuation (AELDs)from the study is presented | Up to Week 48 | |
Primary | Duration of Day Time Wear Time of the Device | Each participant was provided one accelerometer and electrode (Faros sensor and LifeInsight Hub) through which movement/physical activity data was collected throughout the study. Duration of day time wear time was calculated by adding the durations of the time spent [Active + lying + sedentary not lying] in the day time. Only those participants with data available at the specified time points were analyzed (represented by n=X in the category titles).NA indicates that data could not be calculated as participant number was <=1. | Up to Week 48 |
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