Exploratory digital outcome measures of motor sign progression in Parkinson’s disease patients treated with prasinezumab
Abstract Digital health technology (DHT) tools for Parkinson’s disease (PD) e.g., smartphones and wearables were used for remote and frequent measurement of motor signs in the phase 2 PASADENA study of the anti-alpha-synuclein monoclonal antibody prasinezumab. 316 early-stage PD participants were ra...
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-06-01
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| Series: | npj Digital Medicine |
| Online Access: | https://doi.org/10.1038/s41746-025-01572-8 |
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| Summary: | Abstract Digital health technology (DHT) tools for Parkinson’s disease (PD) e.g., smartphones and wearables were used for remote and frequent measurement of motor signs in the phase 2 PASADENA study of the anti-alpha-synuclein monoclonal antibody prasinezumab. 316 early-stage PD participants were randomized to placebo, 1500 mg, or 4500 mg prasinezumab for 52 weeks; placebo participants were re-randomized to prasinezumab for the ensuing 52 weeks. Patients performed daily smartphone motor “active tests”, and were passively monitored by smartphone/smartwatch throughout the day over 2 y. Change from baseline analyses censored data at dopaminergic treatment start. Bilateral speeded tapping variability and hand-turning, U-turn speed, passively monitored hand movement power, and summary Simple Sum scores progressed numerically less in prasinezumab-treated vs placebo at week 52. All findings except hand-turning persisted at week 104. DHT sensor-based outcome measures may contribute to quantifying disease progression in clinical research of early-stage, dopaminergic treatment-naïve PD. Clinical Trial Registry Name: ClinicalTrials.gov; Clinical Trial Registry ID: NCT03100149; registered 2017-03-29. |
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| ISSN: | 2398-6352 |