Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Developing and validating Parkinson's disease subtypes and their motor and cognitive progression

Lawton, Michael, Ben-Shlomo, Yoav, May, Margaret T, Baig, Fahd, Barber, Thomas R, Klein, Johannes C, Swallow, Diane M A, Malek, Naveed, Grosset, Katherine A, Bajaj, Nin, Barker, Roger A, Williams, Nigel ORCID:, Burn, David J, Foltynie, Thomas, Morris, Huw R, Wood, Nicholas W, Grosset, Donald G and Hu, Michele T M 2018. Developing and validating Parkinson's disease subtypes and their motor and cognitive progression. Journal of Neurology, Neurosurgery and Psychiatry 89 (12) , pp. 1279-1287. 10.1136/jnnp-2018-318337

[thumbnail of jnnp-2018-318337.full.pdf]
PDF - Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview


Objectives To use a data-driven approach to determine the existence and natural history of subtypes of Parkinson’s disease (PD) using two large independent cohorts of patients newly diagnosed with this condition. Methods 1601 and 944 patients with idiopathic PD, from Tracking Parkinson’s and Discovery cohorts, respectively, were evaluated in motor, cognitive and non-motor domains at the baseline assessment. Patients were recently diagnosed at entry (within 3.5 years of diagnosis) and were followed up every 18 months. We used a factor analysis followed by a k-means cluster analysis, while prognosis was measured using random slope and intercept models. Results We identified four clusters: (1)  fast motor progression with symmetrical motor disease, poor olfaction, cognition and postural hypotension; (2) mild motor and non-motor disease with intermediate motor progression; (3) severe motor disease, poor psychological well-being and  poor sleep with an intermediate motor progression; (4) slow motor progression with tremor-dominant, unilateral disease. Clusters were moderately to substantially stable across the two cohorts (kappa 0.58). Cluster 1 had the fastest motor progression in Tracking Parkinson’s at 3.2 (95% CI 2.8 to 3.6) UPDRS III points per year while cluster 4 had the slowest at 0.6 (0.1–1.1). In Tracking Parkinson’s, cluster 2 had the largest response to levodopa 36.3% and cluster 4 the lowest 28.8%. Conclusions We have found four novel clusters that replicated well across two independent early PD cohorts and were associated with levodopa response and motor progression rates. This has potential implications for better understanding disease pathophysiology and the relevance of patient stratification in future clinical trials.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Medicine
MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Additional Information: This is an Open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license
Publisher: BMJ Publishing Group
ISSN: 0022-3050
Date of First Compliant Deposit: 29 November 2018
Date of Acceptance: 13 June 2018
Last Modified: 04 May 2023 10:02

Citation Data

Cited 75 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics