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Cross-sectional analysis of the Parkinson's disease Non-motor International Longitudinal Study baseline non-motor characteristics, geographical distribution and impact on quality of life

Van Wamelen, Daniel J. et al · Nature Publishing Group · 2021

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Growing evidence suggests that non-motor symptoms (NMS) in Parkinson’s disease (PD) have differential progression patterns that have a different natural history from motor progression and may be geographically influenced. We conducted a cross-sectional analysis of 1607 PD patients of whom 1327 were from Europe, 208 from the Americas, and 72 from Asia. The primary objective was to assess baseline non-motor burden, defined by Non-Motor Symptoms Scale (NMSS) total scores. Other aims included identifying the factors predicting quality of life, differences in non-motor burden between drug-naïve and non-drug-naïve treated patients, and non-motor phenotypes across different geographical locations. Mean age was 65.9 ± 10.8 years, mean disease duration 6.3 ± 5.6 years, median Hoehn and Yahr stage was 2 (2–3), and 64.2% were male. In this cohort, mean NMSS scores were 46.7 ± 37.2. Differences in non-motor burden and patterns differed significantly between drug-naïve participants, those with a disease duration of less than five years, and those with a duration of five years or over (p ≤ 0.018). Significant differences were observed in geographical distribution (NMSS Europe: 46.4 ± 36.3; Americas: 55.3 ± 42.8; Asia: 26.6 ± 25.1; p < 0.001), with differences in sleep/fatigue, urinary, sexual, and miscellaneous domains (p ≤ 0.020). The best predictor of quality of life was the mood/apathy domain (β = 0.308, p < 0.001). This global study reveals that while non-motor symptoms are globally present with severe NMS burden impacting quality of life in PD, there appear to be differences depending on disease duration and geographical distribution. Fil: Van Wamelen, Daniel J.. King's College Hospital; Reino Unido. King's College London; Reino Unido. Radboud Universiteit Nijmegen. Donders Instituto Brain Cognition and Behavior. SNN Machine Learning Group; Países Bajos Fil: Sauerbier, Anna. King's College London; Reino Unido. University of Cologne; Alemania

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APA 7

Van Wamelen, D. J. E. A. (2021). Cross-sectional analysis of the Parkinson's disease Non-motor International Longitudinal Study baseline non-motor characteristics, geographical distribution and impact on quality of life. http://hdl.handle.net/11336/158718

MLA

Van Wamelen, Daniel J. et al. "Cross-sectional analysis of the Parkinson's disease Non-motor International Longitudinal Study baseline non-motor characteristics, geographical distribution and impact on quality of life." 2021. http://hdl.handle.net/11336/158718.

Chicago

Van Wamelen, Daniel J. et al. 2021. "Cross-sectional analysis of the Parkinson's disease Non-motor International Longitudinal Study baseline non-motor characteristics, geographical distribution and impact on quality of life.". http://hdl.handle.net/11336/158718.

Harvard

Van Wamelen, D. J. E. A. 2021, Cross-sectional analysis of the Parkinson's disease Non-motor International Longitudinal Study baseline non-motor characteristics, geographical distribution and impact on quality of life, Nature Publishing Group, available at: http://hdl.handle.net/11336/158718 [Accessed 7 Aug. 2026].

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Title
Cross-sectional analysis of the Parkinson's disease Non-motor International Longitudinal Study baseline non-motor characteristics, geographical distribution and impact on quality of life
Author / contributors
Van Wamelen, Daniel J. et al
Publisher
Nature Publishing Group
Publication year
2021
ISSN
2045-2322
ISSN
2045-2322
Language
English

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