Utility of the Huntington's Disease Prognostic Index Score for a Perimanifest Clinical Trial

Background Subtle neurodegenerative motor and cognitive impairments accumulate over a prodromal period several years before clinical diagnosis of Huntington's disease (HD). The inclusion of prodromal individuals in therapeutic trials would facilitate testing of therapies early in the disease course and the development of treatments intended to prevent or delay disability. Objectives We evaluate the normalized prognostic index (PIN) score as a tool to select participants for a perimanifest trial. We explore anticipated PIN-based inclusion rates from the preHD screening population and estimate sample-size requirements based on PIN threshold, trial duration, and outcome measure. Methods Individual participant data from ENROLL-HD were used to fit mixed effect linear models to assess longitudinal changes in clinical metrics for participants with early-manifest HD and PIN-stratified preHD subcohorts. Results A PIN threshold of 0.0 was met by 40% of the preHD participants in ENROLL-HD; 39.4% and 55.2% progressed to new diagnoses of early-manifest HD within 2 and 3 years, respectively. Various PIN thresholds also enabled the selection of specified ratios of prodromal preHD to early manifest HD participants for a perimanifest trial. Estimated sample sizes for a trial enrolling prodromal preHD (PIN > 0.0) and stage 1 and 2 motor-diagnosed participants varied depending on the composition of the screening pool, the length of follow-up (1, 2, or 3 years), and outcome measure. Conclusions The composition of a perimanifest clinical trial population can be defined using preselected PIN thresholds, facilitating the assessment of potential disease-modifying therapies in HD. (c) 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society

Automated summary

This study evaluates the normalized prognostic index (PIN) score as a tool for selecting participants for a perimanifest trial and explores the anticipated inclusion rates based on PIN thresholds. The results show that the composition of a perimanifest clinical trial population can be defined using preselected PIN thresholds, facilitating the assessment of potential disease-modifying therapies.