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
Abstract 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 1...
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| Format: | Article |
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Nature Portfolio
2021-05-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-021-88651-4 |
| _version_ | 1818431371955142656 |
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| author | Daniel J. van Wamelen Anna Sauerbier Valentina Leta Carmen Rodriguez-Blazquez Cristian Falup-Pecurariu Mayela Rodriguez‐Violante Alexandra Rizos Y. Tsuboi Vinod Metta Roongroj Bhidayasiri Kalyan Bhattacharya Rupam Borgohain L. K. Prashanth Raymond Rosales Simon Lewis Victor Fung Madhuri Behari Vinay Goyal Asha Kishore Santiago Perez Lloret Pablo Martinez-Martin K. Ray Chaudhuri |
| author_facet | Daniel J. van Wamelen Anna Sauerbier Valentina Leta Carmen Rodriguez-Blazquez Cristian Falup-Pecurariu Mayela Rodriguez‐Violante Alexandra Rizos Y. Tsuboi Vinod Metta Roongroj Bhidayasiri Kalyan Bhattacharya Rupam Borgohain L. K. Prashanth Raymond Rosales Simon Lewis Victor Fung Madhuri Behari Vinay Goyal Asha Kishore Santiago Perez Lloret Pablo Martinez-Martin K. Ray Chaudhuri |
| author_sort | Daniel J. van Wamelen |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-12-14T15:48:15Z |
| format | Article |
| id | doaj.art-253a5f52cf804525a1285587c2b2f3ff |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-14T15:48:15Z |
| publishDate | 2021-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-253a5f52cf804525a1285587c2b2f3ff2022-12-21T22:55:26ZengNature PortfolioScientific Reports2045-23222021-05-0111111110.1038/s41598-021-88651-4Cross-sectional analysis of the Parkinson’s disease Non-motor International Longitudinal Study baseline non-motor characteristics, geographical distribution and impact on quality of lifeDaniel J. van Wamelen0Anna Sauerbier1Valentina Leta2Carmen Rodriguez-Blazquez3Cristian Falup-Pecurariu4Mayela Rodriguez‐Violante5Alexandra Rizos6Y. Tsuboi7Vinod Metta8Roongroj Bhidayasiri9Kalyan Bhattacharya10Rupam Borgohain11L. K. Prashanth12Raymond Rosales13Simon Lewis14Victor Fung15Madhuri Behari16Vinay Goyal17Asha Kishore18Santiago Perez Lloret19Pablo Martinez-Martin20K. Ray Chaudhuri21Department of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College LondonDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College LondonDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College LondonNational Center of Epidemiology, Center for Networked Biomedical Research in Neurodegenerative Diseases (CIBERNED), Carlos III Institute of HealthDepartment of Neurology, Faculty of Medicine, County Emergency Clinic Hospital, Transilvania UniversityMovement Disorders Unit, Instituto Nacional de Neurologia y NeurocirugíaDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College LondonDepartment of Neurology, Faculty of Medicine, Fukuoka UniversityParkinson’s Foundation Centre of Excellence, King’s College HospitalChulalongkorn University HospitalFormerly RG Kar Medical College and Institute of NeuroscienceNizam’s Institute of Medical SciencesCenter for Parkinson’s Disease and Movement Disorders Clinic, Vikram HospitalsUniversity of Santo Tomas HospitalForeFront Parkinson’s Disease Research Clinic, Brain and Mind Centre, University of SydneyMovement Disorders Unit, Neurology Department, Westmead HospitalDepartment of Neurology, Cardiothoracic and Neurosciences Centre, All India Institute of Medical SciencesDepartment of Neurology, All India Institute of Medical SciencesSree Chitra Tirunal Institute for Medical Sciences and TechnologyBiomedical Research Center, Interamerican Open University (CAECIHS-UAI), National Research Council (CONICET)Center for Networked Biomedical Research in Neurodegenerative Diseases (CIBERNED), Carlos III Institute of HealthDepartment of Basic and Clinical Neuroscience, Institute of Psychiatry, Psychology and Neuroscience, King’s College LondonAbstract 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.https://doi.org/10.1038/s41598-021-88651-4 |
| spellingShingle | Daniel J. van Wamelen Anna Sauerbier Valentina Leta Carmen Rodriguez-Blazquez Cristian Falup-Pecurariu Mayela Rodriguez‐Violante Alexandra Rizos Y. Tsuboi Vinod Metta Roongroj Bhidayasiri Kalyan Bhattacharya Rupam Borgohain L. K. Prashanth Raymond Rosales Simon Lewis Victor Fung Madhuri Behari Vinay Goyal Asha Kishore Santiago Perez Lloret Pablo Martinez-Martin K. Ray Chaudhuri 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 Scientific Reports |
| 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| url | https://doi.org/10.1038/s41598-021-88651-4 |
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