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Abstract Amyotrophic lateral sclerosis (ALS) patients lack effective treatments to maintain motor and neuromuscular function. This study aimed to evaluate the effect of a home-based exercise program on muscle strength, ALS scores, and transcriptome in ALS patients, Clinical Trials.gov #NCT03201991 (28/06/2017). An open-label, non-randomized pilot clinical trial was conducted in seven individuals with early-stage ALS. Participants were given 3 months of home-based resistance exercise focusing on the quadriceps muscles. The strength of exercised muscle was evaluated using bilateral quadriceps strength with manual muscle testing, handheld dynamometers, five times sit-to-stand, and Timed-Up-and-Go before and after the exercise program. In addition, changes in the Sickness Impact Profile ALS-19 (SIP/ALS-19) as the functional outcome measure and the transcriptome of exercised muscles were compared before and after the exercise. The primary outcome of muscle strength did not change significantly by the exercise program. The exercise program maintained the SIP/ALS-19 and the ALS Functional Rating Scale-Revised (ALSFRS-R). Transcriptome analysis revealed that exercise reverted the expression level of genes decreased in ALS, including parvalbumin. Three months of moderately intense strength and conditioning exercise maintained muscle strength of the exercised muscle and ALSFRS-R scores and had a positive effect on patients’ muscle transcriptome.

Background: Response adaptive randomization is popular in adaptive trial designs, but the literature detailing its execution is lacking. These designs are desirable for patients/stakeholders, particularly in comparative effectiveness research, due to the potential benefits including improving participant buy-in by providing more participants with better treatment during the trial. Frequentist approaches have often been used, but adaptive designs naturally fit the Bayesian methodology; it was developed to deal with data as they come in by updating prior information. Methods: PAIN-CONTRoLS was a comparative-effectiveness trial utilizing Bayesian response adaptive randomization to four drugs, nortriptyline, duloxetine, pregabalin, or mexiline, for cryptogenic sensory polyneuropathy (CSPN) patients. The aim was to determine which treatment was most tolerable and effective in reducing pain. Quit and efficacy rates were combined into a utility function to develop a single outcome, which with treatment sample size, drove the adaptive randomization. Prespecified interim analyses allowed the study to stop for early success or update the randomization probabilities to the better-performing treatments. Results: Seven adaptations to the randomization occurred before the trial ended due to reaching the maximum sample size, with more participants receiving nortriptyline and duloxetine. At the end of the follow-up, nortriptyline and duloxetine had lower probabilities of participants that had stopped taking the study medication and higher probabilities were efficacious. Mexiletine had the highest quit rate, but had an efficacy rate higher than pregabalin. Conclusions: Response adaptive randomization has become a popular trial tool, especially for those utilizing Bayesian methods for analyses. By illustrating the execution of a Bayesian adaptive design, using the PAIN-CONTRoLS trial data, this paper continues the work to provide literature for conducting Bayesian response adaptive randomized trials.