Dynamic Prediction of Motor Diagnosis in Huntington's Disease Using a Joint Modeling Approach.

ABSTRACT:

Background

Prediction of motor diagnosis in Huntington's disease (HD) can be improved by incorporating other phenotypic and biological clinical measures in addition to cytosine-adenine-guanine (CAG) repeat length and age.

Objective

The objective was to compare various clinical and biomarker trajectories for tracking HD progression and predicting motor conversion.

Methods

Participants were from the PREDICT-HD study. We constructed a mixed-effect model to describe the change of measures while jointly modeling the process with time to HD diagnosis. The model was then used for subject-specific prediction. We employed the time-dependent receiver operating characteristic (ROC) method to assess the discriminating capability of the measures to identify high and low risk patie

SUBMITTER: Li K 

PROVIDER: S-EPMC5505650 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature