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ABSTRACT: Background
Potential therapeutic targets and clinical trials for Huntington's disease have grown immensely in the last decade. However, to improve clinical trial outcomes, there is a need to better characterize profiles of signs and symptoms across different epochs of the disease to improve selection of participants.Objective
The objective of the present study was to best distinguish longitudinal trajectories across different Huntington's disease progression groups.Methods
Clinical and morphometric imaging data from 1082 participants across IMAGE-HD, TRACK-HD, and PREDICT-HD studies were combined, with longitudinal times ranging between 1 and 10 years. Participants were classified into 4 groups using CAG and age product. Using multivariate linear mixed modeling, 63
SUBMITTER: Abeyasinghe PM
PROVIDER: S-EPMC8590922 | biostudies-literature | 2021 Oct
REPOSITORIES: biostudies-literature