ArticleFrontiers in neuroscience2026
Factors associated with longitudinal MDS-UPDRS III score trajectories in early-stage Parkinson's disease.
Article in Frontiers in neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Changes in peripheral inflammatory cytokines and clinical outcomes before and after deep brain stimulation in patients with Parkinson's disease with or without type 2 diabetes mellitus: an observational study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Observational
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Authors and funding
4 authors.
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Abstract
Background: Parkinson's disease (PD) exhibits significant clinical heterogeneity, particularly in motor symptom progression. This study aims to identify distinct trajectories of motor progression in PD and explore associated predictive factors. Methods: Data were obtained from the Parkinson's Progression Markers Initiative (PPMI) database on [2025-3-25]. Motor symptom severity was measured using the MDS-UPDRS III scores. Latent class trajectory analysis was used to identify distinct progression patterns. Multinomial logistic regression and machine learning models were used to evaluate predictors. Results: Three distinct motor progression trajectories were identified: slow progression (38%), moderate progression (55.9%), and rapid progression (6.1%). Compared to the slow progression group, a higher baseline MDS-UPDRS III score was strongly associated with both moderate (OR = 1.27, 95% CI: 1.23-1.31, Conclusion: Baseline motor severity, dopaminergic imaging, nutritional status, and body weight are key predictors of motor progression in PD. These findings highlight the potential for early risk stratification and personalized management strategies.
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