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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
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8100281/ https://www.ncbi.nlm.nih.gov/pubmed/33953218 http://dx.doi.org/10.1038/s41598-021-88651-4 |
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author | van Wamelen, Daniel J. Sauerbier, Anna Leta, Valentina Rodriguez-Blazquez, Carmen Falup-Pecurariu, Cristian Rodriguez‐Violante, Mayela Rizos, Alexandra Tsuboi, Y. Metta, Vinod Bhidayasiri, Roongroj Bhattacharya, Kalyan Borgohain, Rupam Prashanth, L. K. Rosales, Raymond Lewis, Simon Fung, Victor Behari, Madhuri Goyal, Vinay Kishore, Asha Lloret, Santiago Perez Martinez-Martin, Pablo Chaudhuri, K. Ray |
author_facet | van Wamelen, Daniel J. Sauerbier, Anna Leta, Valentina Rodriguez-Blazquez, Carmen Falup-Pecurariu, Cristian Rodriguez‐Violante, Mayela Rizos, Alexandra Tsuboi, Y. Metta, Vinod Bhidayasiri, Roongroj Bhattacharya, Kalyan Borgohain, Rupam Prashanth, L. K. Rosales, Raymond Lewis, Simon Fung, Victor Behari, Madhuri Goyal, Vinay Kishore, Asha Lloret, Santiago Perez Martinez-Martin, Pablo Chaudhuri, K. Ray |
author_sort | van Wamelen, Daniel J. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8100281 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-81002812021-05-07 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. Sauerbier, Anna Leta, Valentina Rodriguez-Blazquez, Carmen Falup-Pecurariu, Cristian Rodriguez‐Violante, Mayela Rizos, Alexandra Tsuboi, Y. Metta, Vinod Bhidayasiri, Roongroj Bhattacharya, Kalyan Borgohain, Rupam Prashanth, L. K. Rosales, Raymond Lewis, Simon Fung, Victor Behari, Madhuri Goyal, Vinay Kishore, Asha Lloret, Santiago Perez Martinez-Martin, Pablo Chaudhuri, K. Ray Sci Rep Article 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. Nature Publishing Group UK 2021-05-05 /pmc/articles/PMC8100281/ /pubmed/33953218 http://dx.doi.org/10.1038/s41598-021-88651-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article van Wamelen, Daniel J. Sauerbier, Anna Leta, Valentina Rodriguez-Blazquez, Carmen Falup-Pecurariu, Cristian Rodriguez‐Violante, Mayela Rizos, Alexandra Tsuboi, Y. Metta, Vinod Bhidayasiri, Roongroj Bhattacharya, Kalyan Borgohain, Rupam Prashanth, L. K. Rosales, Raymond Lewis, Simon Fung, Victor Behari, Madhuri Goyal, Vinay Kishore, Asha Lloret, Santiago Perez Martinez-Martin, Pablo Chaudhuri, K. Ray 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 | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8100281/ https://www.ncbi.nlm.nih.gov/pubmed/33953218 http://dx.doi.org/10.1038/s41598-021-88651-4 |
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