Access the full text.
Sign up today, get DeepDyve free for 14 days.
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
Background:Huntington’s disease (HD) is an autosomal dominant neurodegenerative disorder that typically manifests between the ages of 30 and 50 years. However, the disease can present at any age, and phenotypic differences between younger and later-onset patients have received limited attention.Objective:To compare clinical features of late- (>70 years of age) and younger-onset (<30 years of age) HD patients.Methods:Patients presenting to our regional NHS HD clinic with new-onset manifest HD diagnosed over the age of 70 years (LoHD) (n = 18) were compared with a younger cohort who developed disease under the age of 30 years (YoHD) (n = 12). Rate of progression over time on standard cognitive and motor measures was compared.Results:At first clinic presentation, both groups had the same total UHDRS scores. However, the LoHD group had higher chorea scores (F (1,28) = 6.52, p = 0.016), while the YoHD group had more dystonia (F (1,28) = 8.69, p = 0.006) and eye movement abnormalities (F (1,28) = 16.991, p < 0.001). The YoHD group also had a greater rate of motor progression, especially for bulbar measures (F (1, 28) = 6.96, p = 0.013) and bradykinesia (F (1, 28) = 7.99, p = 0.009). No differences were found in the rate of cognitive change (F (1,21) = 1.727, p = 0.203) nor functional capacity (F (1,28) = 1.388, p = 0.249) between the groups.Conclusion:Phenotypic differences between YoHD and LoHD patients were found in terms of initial presentation and rate of motor progression. This has implications for therapeutic trials involving HD patients of different ages, given their different clinical features and progression.
Journal of Huntington's Disease – IOS Press
Published: Oct 8, 2020
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.