PREDICT-PD has been funded by Parkinson’'s UK (reference F1201)

Alastair J Noyce

Andrew J Lees

Anette Schrag

Bennett

Berg

Buchman

Doty

Fearnley

Gaenslen

Gavin Giovannoni

Gibb

Goetz

Hampf

Jennings

Jonathan P Bestwick

Joseph M Masters

Lees

Lerche

Louis

Mahlknecht

McLennan

Nasreddine

Noyce

Postuma

Salat

Schrag

Shulman

Journal of Neurology Neurosurgery & Psychiatry

OBJECTIVE: The PREDICT-PD study aims to identify increased risk of Parkinson''s disease (PD) using online assessments of previously identified risk and early features of PD and an evidence-based scoring algorithm. We sought to determine whether higher risk participants (defined as those above the 15th centile of risk estimates) were more likely to have mild parkinsonian signs compared with lower risk participants. METHODS: Video recordings of neurological examinations, including the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III, of 208 individuals who had previously completed an online risk assessment were scored blindly and independently by two movement-disorders experts. Higher risk and lower risk subjects were compared for MDS-UPDRS part III score (and derivations of this) to identify subclinical parkinsonism, and association of risk estimates with MDS-UPDRS III scores assessed. RESULTS: Higher risk subjects had significantly higher median UPDRS part III scores (3, IQR 1-5.5) than lower risk subjects (1, IQR 0-3.0; p<0.001), and there was a significantly greater proportion of individuals classified as having subclinical parkinsonism. 18% of the higher risk subjects and 6% of the lower risk subjects exceeded the most stringent published cut-off for subtle parkinsonism of three definitions examined (p=0.027). Linear regression analysis demonstrated a continuous relationship of log-transformed risk estimates with UPDRS part III scores (increase in MDS-UPDRS per doubling of odds 0.52, 95% CI 0.31 to 0.72; p<0.001), which remained after adjustment for multiple vascular risk factors and scores on the Montreal Cognitive Assessment (0.58, 95% CI 0.30 to 0.87; p<0.001). CONCLUSIONS: The PREDICT-PD algorithm identifies a population with an increased rate of motor disturbances

Noyce, AJ

Schrag, A

Masters, JM

Bestwick, JP

Giovannoni, G

Lees, AJ

UCL Discovery

Subtle motor disturbances in PREDICT-PD participants.

Crossref

Subtle motor disturbances in PREDICT-PD participants

Queen Mary Research Online

ObjectiveThe PREDICT-PD study aims to identify increased risk of Parkinson''s disease (PD) using online assessments of previously identified risk and early features of PD and an evidence-based scoring algorithm. We sought to determine whether higher risk participants (defined as those above the 15th centile of risk estimates) were more likely to have mild parkinsonian signs compared with lower risk participants.MethodsVideo recordings of neurological examinations, including the Movement Disorder Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) part III, of 208 individuals who had previously completed an online risk assessment were scored blindly and independently by two movement-disorders experts. Higher risk and lower risk subjects were compared for MDS-UPDRS part III score (and derivations of this) to identify subclinical parkinsonism, and association of risk estimates with MDS-UPDRS III scores assessed.ResultsHigher risk subjects had significantly higher median UPDRS part III scores (3, IQR 1-5.5) than lower risk subjects (1, IQR 0-3.0; pConclusionsThe PREDICT-PD algorithm identifies a population with an increased rate of motor disturbances

Subtle motor disturbances in PREDICT-PD participants

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UCL Discovery

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