Analysis of sodium phenylbutyrate and taurursodiol survival effect in ALS using external controls.

OBJECTIVE: Sodium phenylbutyrate and taurursodiol (PB and TURSO) was evaluated in amyotrophic lateral sclerosis (ALS) in the CENTAUR trial encompassing randomized placebo-controlled and open-label extension phases. On intent-to-treat (ITT) survival analysis, median overall survival (OS) was 4.8 months longer and risk of death 36% lower in those originally randomized to an initial 6-month double-blind period of PB and TURSO versus placebo. To estimate PB and TURSO treatment effect without placebo-to-active crossover, we performed a post hoc survival analysis comparing PB and TURSO-randomized participants from CENTAUR and a propensity score-matched, PB and TURSO-naïve external control cohort from the Pooled Resource Open-Access ALS Clinical Trials (PRO-ACT) database. METHODS: Clinical trial control participants from the PRO-ACT database who met prespecified eligibility criteria were propensity score matched 1:1 with PB and TURSO-randomized CENTAUR participants using prognostically significant covariates in ALS. RESULTS: Baseline characteristics including propensity score-matched covariates were generally well balanced between CENTAUR PB and TURSO (n = 89) and PRO-ACT external control (n = 85) groups. Estimated median (IQR) OS was 23.54 (14.56-39.32) months in the CENTAUR PB and TURSO group and 13.15 (9.83-19.20) months in the PRO-ACT external control group; hazard of death was 52% lower in the former group (hazard ratio, 0.48; 95% CI, 0.31-0.72; p = 0.00048). INTERPRETATION: This analysis suggests potentially greater survival benefit with PB and TURSO in ALS without placebo-to-active crossover than seen on ITT analysis in CENTAUR. Analyses using well-matched external controls may provide additional context for evaluating survival effects in future ALS trials.

Design and Statistical Innovations in a Platform Trial for Amyotrophic Lateral Sclerosis.

Platform trials allow efficient evaluation of multiple interventions for a specific disease. The HEALEY ALS Platform Trial is testing multiple investigational products in parallel and sequentially in persons with amyotrophic lateral sclerosis (ALS) with the goal of rapidly identifying novel treatments to slow disease progression. Platform trials have considerable operational and statistical efficiencies compared with typical randomized controlled trials due to their use of shared infrastructure and shared control data. We describe the statistical approaches required to achieve the objectives of a platform trial in the context of ALS. This includes following regulatory guidance for the disease area of interest and accounting for potential differences in outcomes of participants within the shared control (potentially due to differences in time of randomization, mode of administration, and eligibility criteria). Within the HEALEY ALS Platform Trial, the complex statistical objectives are met using a Bayesian shared parameter analysis of function and survival. This analysis serves to provide a common integrated estimate of treatment benefit, overall slowing in disease progression, as measured by function and survival while accounting for potential differences in the shared control group using Bayesian hierarchical modeling. Clinical trial simulation is used to provide a better understanding of this novel analysis method and complex design. ANN NEUROL 2023;94:547-560.

Adaptive Platform Trials to Transform Amyotrophic Lateral Sclerosis Therapy Development.

Current therapeutic development in amyotrophic lateral sclerosis (ALS) relies on individual randomized clinical trials to test a specific investigational product in a single patient population. This approach has intrinsic limitations, including cost, time, and lack of flexibility. Adaptive platform trials represent a novel approach to investigate several interventions for a single disease in a continuous manner. Already in use in oncology, this approach is now being employed more often in neurology. Here, we describe a newly launched platform trial for ALS. The Healey ALS Platform Trial is testing multiple investigational products concurrently in people with ALS, with the goal of rapidly identifying novel treatments, biomarkers, and trial endpoints. ANN NEUROL 2022;91:165-175.

A prospective, multi-center randomized, controlled, blinded trial of vagus nerve stimulation for difficult to treat depression: A novel design for a novel treatment.

Few treatment options exist for patients with difficult-to-treat depression (DTD). One potentially efficacious treatment is vagus nerve stimulation (VNS): chronic stimulation of the vagus nerve using an implanted stimulator. Given a series of recent VNS clinical studies, including a large, five-year naturalistic investigation, the Center for Medicare and Medicaid Services (CMS) reconsidered the previous non coverage determination and announced coverage for patients participating in a "coverage with evidence" trial. This study, entitled, A PRospective, Multi-cEnter, Randomized Controlled Blinded Trial DemOnstrating the Safety and Effectiveness of VNS Therapy® System as AdjunctivE Therapy Versus a No Stimulation Control in Subjects With Treatment-Resistant Depression (RECOVER), includes DTD patients with at least four unsuccessful antidepressant treatments in the current episode and will randomize both unipolar and bipolar DTD participants, each up to 500 evaluable enrollees. Predetermined interim analyses will define the necessary sample size. All participants will be implanted with VNS devices: half receive active stimulation during year one, and half receive delayed stimulation after year one. Participants will be followed for 5 years. This RCT is unique for DTD studies: 1) large sample size and long study duration (one year of controlled comparison); 2) use of a percent time in response as the primary outcome measure, given the chronic illness and its fluctuating course (vis-à-vis meeting a response criteria at a single time point); 3) inclusion of diverse measures of VNS impact on function, including quality of life, degree of disability, health status, and suicidality.

A novel cognitive disease progression model for clinical trials in autosomal-dominant Alzheimer's disease.

Clinical trial outcomes for Alzheimer's disease are typically analyzed by using the mixed model for repeated measures (MMRM) or similar models that compare an efficacy scale change from baseline between treatment arms with or without participants' disease stage as a covariate. The MMRM focuses on a single-point fixed follow-up duration regardless of the exposure for each participant. In contrast to these typical models, we have developed a novel semiparametric cognitive disease progression model (DPM) for autosomal dominant Alzheimer's disease based on the Dominantly Inherited Alzheimer Network (DIAN) observational study. This model includes 3 novel features, in which the DPM (1) aligns and compares participants by disease stage, (2) uses a proportional treatment effect similar to the concept of the Cox proportional hazard ratio, and (3) incorporates extended follow-up data from participants with different follow-up durations using all data until last participant visit. We present the DPM model developed by using the DIAN observational study data and demonstrate through simulation that the cognitive DPM used in hypothetical intervention clinical trials produces substantial gains in power compared with the MMRM.