The effect of cardiovascular risk on disease progression in de novo Parkinson's disease patients

An observational analysis

Journal Article (2023)
Author(s)

Max J. Oosterwegel (Radboud Universiteit Nijmegen, Donders Institute for Brain, Cognition and Behaviour)

Jesse H. Krijthe (TU Delft - Pattern Recognition and Bioinformatics)

Melina G.H.E. den Brok (Donders Institute for Brain, Cognition and Behaviour, Universiteit van Amsterdam)

Lieneke van den Heuvel (Donders Institute for Brain, Cognition and Behaviour)

Edo Richard (Donders Institute for Brain, Cognition and Behaviour, Universiteit van Amsterdam)

Tom Heskes (Radboud Universiteit Nijmegen)

Bastiaan R. Bloem (Donders Institute for Brain, Cognition and Behaviour)

Luc J.W. Evers (Donders Institute for Brain, Cognition and Behaviour, Radboud Universiteit Nijmegen)

Research Group
Pattern Recognition and Bioinformatics
DOI related publication
https://doi.org/10.3389/fneur.2023.1138546
More Info
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Publication Year
2023
Language
English
Research Group
Pattern Recognition and Bioinformatics
Volume number
14
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Abstract

Background: Currently available treatment options for Parkinson's disease are symptomatic and do not alter the course of the disease. Recent studies have raised the possibility that cardiovascular risk management may slow the progression of the disease. Objectives: We estimated the effect of baseline cardiovascular risk factors on the progression of Parkinson's disease, using measures for PD-specific motor signs and cognitive functions. Methods: We used data from 424 de novo Parkinson's disease patients and 199 age-matched controls from the observational, multicenter Parkinson's Progression Markers Initiative (PPMI) study, which included follow-up of up to 9 years. The primary outcome was the severity of PD-specific motor signs, assessed with the MDS-UPDRS part III in the “OFF”-state. The secondary outcome was cognitive function, measured with the Montreal Cognitive Assessment, Symbol Digit Modalities Test, and Letter-Number Sequencing task. Exposures of interest were diabetes mellitus, hypertension, body mass index, cardiovascular event history and hypercholesterolemia, and a modified Framingham risk score, measured at baseline. The effect of each of these exposures on disease progression was modeled using linear mixed models, including adjustment for identified confounders. A secondary analysis on the Tracking Parkinson's cohort including 1,841 patients was performed to validate our findings in an independent patient cohort. Results: Mean age was 61.4 years, and the average follow-up was 5.5 years. We found no statistically significant effect of any individual cardiovascular risk factor on the MDS-UPDRS part III progression (all 95% confidence intervals (CIs) included zero), with one exception: in the PD group, the estimated effect of a one-point increase in body mass index was 0.059 points on the MDS-UPDRS part III per year (95% CI: 0.017 to 0.102). We found no evidence for an effect of any of the exposures on the rate of change in cognitive functioning in the PD group. Similar results were observed for the Tracking Parkinson's cohort (all 95% CIs overlapped with PPMI), but the 95% CI of the effect of body mass index on the MDS-UPDRS part III progression included zero. Conclusions: Based on this analysis of two large cohorts of de novo PD patients, we found no evidence to support clinically relevant effects of cardiovascular risk factors on the clinical progression of Parkinson's disease.