Parkinson’s disease medication adjustments based on wearable device information compared to other methods: randomized clinical trial

Abstract Parkinson’s disease (PD) is characterized by motor fluctuations, with alternating periods of good (“ON”) and poor (“OFF”) motor function. Monitoring these fluctuations is crucial for optimizing treatment, yet traditional methods rely on subjective patient reports. This multicenter, single-b...

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Main Authors: Alejandro Rodríguez-Molinero, Carlos Pérez-López, Nuria Caballol, Mariateresa Buongiorno, María Asunción Ávila Rivera, Núria López Ariztegui, Lydia López-Manzanares, Jorge Hernández-Vara, Àngels Bayes-Rusiñol, Alexandre Gironell Carreró, María Álvarez Saúco, Elisabet Franquet Gomez, David A. Pérez-Martínez, Sonia Escalante Arroyo, Silvia Martí-Martínez, Pablo Mir, José Mª Salom Juan, Juan Carlos Martínez-Castrillo, Cristian Tebé, On behalf of the MoMoPa-EC Research Group
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:npj Parkinson's Disease
Online Access:https://doi.org/10.1038/s41531-025-00977-2
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Summary:Abstract Parkinson’s disease (PD) is characterized by motor fluctuations, with alternating periods of good (“ON”) and poor (“OFF”) motor function. Monitoring these fluctuations is crucial for optimizing treatment, yet traditional methods rely on subjective patient reports. This multicenter, single-blind, cluster-randomized trial evaluated the effectiveness of three monitoring approaches in real-world clinical practice. Neurologists from 35 centers were randomized into three groups: one using clinical visit data alone, another incorporating Hauser diary entries, and a third integrating Parkinson’s Holter (STAT-ON®) reports. A total of 156 patients were recruited. Changes in ‘OFF time’ from baseline to 26 weeks were minimal and non-significant across groups. Secondary outcomes, including ‘ON time,’ dyskinesia, and quality-of-life scores, showed no significant differences. These findings suggest that the choice of motor fluctuation monitoring method may not significantly impact clinical outcomes, underscoring the need for a broader understanding of how these monitoring tools are integrated and utilized in real-world settings. Trial registration: NCT04176302 (November 21, 2019 - ClinicalTrials.gov).
ISSN:2373-8057