4.7 Article

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

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SCIENTIFIC REPORTS
卷 11, 期 1, 页码 -

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NATURE RESEARCH
DOI: 10.1038/s41598-021-88651-4

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  1. National Institute for Health Research (NIHR) Mental Health Biomedical Research Centre and Dementia Unit at South London and Maudsley NHS Foundation Trust and King's College London

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Evidence suggests that non-motor symptoms in Parkinson's disease have different progression patterns influenced by geography, impacting quality of life. Mood/apathy is the most significant factor affecting quality of life.
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-naive and non-drug-naive 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-naive 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 (p0.020). The best predictor of quality of life was the mood/apathy domain (beta =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.

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