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Comparison of different risk scores for Parkinson disease in a population‐based 10‐year study

Published version

Published version
Peer-reviewed

Repository DOI


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Authors

Marini, Kathrin 
Seppi, Klaus; email: klaus.seppi@tirol-kliniken.at 
Kiechl, Stefan 
Stockner, Heike 
Willeit, Peter 

Abstract

Background and purpose: Different algorithms aiming to identify individuals at risk of Parkinson disease (PD) have been proposed. Comparative studies of these scores and their recent updates in the general elder population are needed. Methods: We have previously applied the “basic” PREDICT‐PD algorithm, designed for remote screening, and the original and updated Movement Disorder Society (MDS) criteria for prodromal PD to the longitudinal population‐based Bruneck study cohort. We have now additionally employed the “enhanced” PREDICT‐PD algorithm (which includes motor assessment, olfaction, probable rapid eye movement sleep behaviour disorder status, pesticide exposure, and diabetes as additional factors). Risk scores were calculated based on comprehensive baseline assessments (2005) in 574 subjects aged 55–94 years (290 females), and cases of incident PD were identified at 5‐year (n = 11) and 10‐year follow‐up (n = 9). We analysed the association of the different log‐transformed risk scores with incident PD at follow‐up (calculated per 1‐SD unit change). Results: The enhanced PREDICT‐PD algorithm was associated with incident PD over 10‐years of follow‐up, yielding higher odds for incident PD (odds ratio [OR] = 4.61, 95% confidence interval [CI] = 2.68–7.93, p < 0.001) compared with the basic PREDICT‐PD score (OR = 2.38, 95% CI = 1.49–3.79, p < 0.001). The updated MDS prodromal criteria yielded a numerically higher OR of 7.13 (95% CI = 3.49–14.54, p < 0.001) in comparison with the original criteria as well as the enhanced PREDICT‐PD algorithm, with overlapping 95% CIs. Conclusions: The enhanced PREDICT‐PD algorithm was significantly associated with incident PD. The consistent performance of both the enhanced PREDICT‐PD algorithm and the updated MDS prodromal criteria compared to their original versions supports their use in PD risk screening.

Description

Funder: Assessorat fuer Gesundheit


Funder: Austrian Society of Neurology


Funder: Dr.‐Johannes‐and‐Hertha‐Tuba Foundation


Funder: Competence Centers for Excellent Technologies ‐ COMET


Funder: Gesundheitsbezirk Bruneck


Funder: Mayor of Bruneck


Funder: Pustertaler Verein zur Prävention von Herz‐ und Hirngefaesserkrankungen

Keywords

epidemiology, risk scores, risk factors, Parkinson disease, prodromal disease

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Publisher

Sponsorship
Austrian Ministry for Transport, Innovation and Technology, the Austrian Ministry for Digital and Economic Affairs and the federal states Tyrol, Vienna Business Agency (843536)
Tiroler Wissenschaftsförderung (UNI‐0404/2245)