Presented at the 27th International Symposium on Amyotrophic Lateral Sclerosis and Motor Neurone Disease, Dublin Ireland, December 2016.
Objectives: We hypothesized that computer models incorporating predictions for both survival and disease progression as measured by the ALSFRS-R score could serve as tools to stratify patients into slowly, average and rapidly progressing patients.
Conclusions: We conclude that ALS patients can be successfully stratified using a combination of algorithms that predict survival and ALSFRS-R progression. We also conclude that the ability to accurately predict disease progression for ALS patients has broad implications for clinical trial design.
Authors: Albert A. Taylor, Samad Jahandideh, Danielle Beaulieu, Mike Keymer, David L. Ennist