The use of biotelemetry to explore disease progression markers in amyotrophic lateral sclerosis.
Madeline L KellyArseniy LavrovLuis Garcia-GancedoJim ParrRobert HartTheresa ChiweraChristopher E ShawAmmar Al ChalabiRachael MarsdenMatthew C KiernanKevin TalbotPublished in: Amyotrophic lateral sclerosis & frontotemporal degeneration (2020)
To explore novel, real-world biotelemetry disease progression markers in patients with amyotrophic lateral sclerosis (ALS) and to compare with clinical gold-standard measures. Methods: This was an exploratory, non-controlled, non-drug 2-phase study comprising a variable length Pilot Phase (n = 5) and a 48-week Core study Phase (n = 25; NCT02447952). Patients with mild or moderate ALS wore biotelemetry sensors for ∼3 days/month at home, measuring physical activity, heart rate variability (HRV), and speech over 48 weeks. These measures were assessed longitudinally in relation to ALS Functional Rating Scale-Revised (ALSFRS-R) score and forced vital capacity (FVC); assessed by telephone [monthly] and clinic visits [every 12 weeks]). Results: Pilot Phase data supported progression into the Core Phase, where a decline in physical activity from baseline followed ALS progression as measured by ALSFRS-R and FVC. Four endpoints showed moderate or strong between-patient correlations with ALSFRS-R total and gross motor domain scores (defined as a correlation coefficient of ≥0.5 or >0.7, respectively): average daytime active; percentage of daytime active; total daytime activity score; total 24-hour activity score. Moderate correlations were observed between speech endpoints and ALSFRS-R bulbar domain scores; HRV data quality was insufficient for reliable assessment. The sensor was generally well tolerated; 6/25 patients reported mostly mild or moderate intensity skin and subcutaneous tissue disorder adverse events. Conclusions: Biotelemetry measures of physical activity in this Pilot Study tracked ALS progression over time, highlighting their potential as endpoints for future clinical trials. A larger, formally powered study is required to further support activity endpoints as novel disease progression markers.
Keyphrases
- amyotrophic lateral sclerosis
- physical activity
- heart rate variability
- high intensity
- sleep quality
- clinical trial
- obstructive sleep apnea
- body mass index
- heart rate
- end stage renal disease
- blood pressure
- electronic health record
- primary care
- study protocol
- ejection fraction
- emergency department
- big data
- machine learning
- open label
- randomized controlled trial
- magnetic resonance
- risk assessment
- depressive symptoms
- double blind
- drug induced
- deep learning
- phase ii
- quality improvement
- phase iii
- adverse drug