F09 Progression of motor symptoms prior to diagnosis in HD-gene carriers. (16th November 2010)

• Record Type: Journal Article
• Authors: Sills, T; Geraci, J; Vaccarino, A; Anderson, K; Borowsky, B; Giuliano, J; Guttman, M; Ho, A K; Paulsen, J; van Kammen, D P; Evans, K
• Is Part Of: Journal of neurology, neurosurgery and psychiatry. Volume 81(2010)Supplement 1
• Page Start: A25
• Page End: A25
• Publication Date: 2010-11-16
• Subjects: Disease progression -- clinical trials -- UHDRS; Neurology -- Periodicals; Nervous system -- Surgery -- Periodicals; Psychiatry -- Periodicals; 616.8
• DOI: 10.1136/jnnp.2010.222620.9
• Languages: English
• ISSNs: 0022-3050

Abstract

Abstract : Background: Identifying sensitive, specific, and reliable indicators of disease progression in Huntington's disease (HD) is key to selecting the appropriate population for clinical trials that assess novel treatments that may slow or delay the onset of HD's debilitating symptoms. The PREDICT-HD study is an NIH and CHDI-funded study that began in 2001, with the goal of documenting the neurobiological and neurobehavioral changes that occur in HD-gene carriers in the period leading up to the diagnosis of HD. The PREDICT-HD study provides a rich source of data that can be mined to identify HD-gene carriers who show rapid progression in the early stages of the disease, prior to diagnosis based on their motor symptoms. Aims: To identify a population of PREDICT-HD participants who show rapid progression in motor symptoms over the course of the first four years of the PREDICT-HD study, and to determine if there are specific measures that classify participants a priori. Methods: The change in the Unified Huntington's Disease Rating Scale (UHDRS) Total Motor score between Baseline and Year 4 was calculated for all PREDICT-HD participants who had completed four annual visits. A model was generated to distinguish rapid progressors from gene-carriers not showing progression utilizing the baseline motor, cognitive, and imaging data from PREDICT-HD participants. Results: Examination of the inter-quartile ranges of change-from-baseline total motor scores showed that PREDICT-HD participants in the top (fourth) quartile had a change in score of approximately 14 points; the average change in the third quartile was only 5 points. The classification model that was developed included disease burden score, striatal volume, motor and cognitive variables. The model was 82.4% accurate in identifying HD-gene carriers in PREDICT-HD who showed rapid progression in their UHDRS motor scores; the model was 91.9% accurate in identifying HD-gene carriers in PREDICT-HD who did not show a substantial increase in their motor scores. Conclusions: There is a population of HD-gene carriers in the PREDICT-HD study that show a rapid progression in their motor symptoms as assessed by the UHDRS Motor Subscale. We have developed a model that is highly accurate in identifying these patients. This model needs to be further refined and validated. This model may be useful in identifying HD-gene carriers for recruitment in therapeutic clinical trials.