Parkinson’s Progression Markers Initiative: A Milestone-Based Strategy to Monitor Parkinson’s Disease Progression
Background: Identifying a meaningful progression metric for Parkinson’s disease (PD) that reflects heterogeneity remains a challenge. Objective: To assess the frequency and baseline predictors of progression to clinically relevant motor and non-motor PD milestones. Methods: Using data from the Parki...
Gespeichert in:
Veröffentlicht in: | Journal of Parkinson's disease 2023-01, Vol.13 (6), p.899-916 |
---|---|
Hauptverfasser: | , , , , , , , , , , , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | Background:
Identifying a meaningful progression metric for Parkinson’s disease (PD) that reflects heterogeneity remains a challenge.
Objective:
To assess the frequency and baseline predictors of progression to clinically relevant motor and non-motor PD milestones.
Methods:
Using data from the Parkinson’s Progression Markers Initiative (PPMI) de novo PD cohort, we monitored 25 milestones across six domains (“walking and balance”; “motor complications”; “cognition”; “autonomic dysfunction”; “functional dependence”; “activities of daily living”). Milestones were intended to be severe enough to reflect meaningful disability. We assessed the proportion of participants reaching any milestone; evaluated which occurred most frequently; and conducted a time-to-first-event analysis exploring whether baseline characteristics were associated with progression.
Results:
Half of participants reached at least one milestone within five years. Milestones within the cognitive, functional dependence, and autonomic dysfunction domains were reached most often. Among participants who reached a milestone at an annual follow-up visit and remained active in the study, 82% continued to meet criteria for any milestone at one or more subsequent annual visits and 55% did so at the next annual visit. In multivariable analysis, baseline features predicting faster time to reaching a milestone included age (p |
---|---|
ISSN: | 1877-7171 1877-718X |
DOI: | 10.3233/JPD-223433 |