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

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Marini, Kathrin 
Seppi, Klaus; email: 
Kiechl, Stefan 
Stockner, Heike 
Willeit, Peter 


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.


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


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

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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)