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

Autores: 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; Perez Lloret, Santiago; Martinez Martin, Pablo; Chaudhuri, K. Ray
Año de publicación: 2021
Idioma: inglés
Tipo de recurso: artículo
Estado: versión publicada
Descripción: 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
Fil: Leta, Valentina. King's College London; Reino Unido. King's College Hospital; Reino Unido
Fil: Rodriguez Blazquez, Carmen. Instituto de Salud Carlos III; España
Fil: Falup Pecurariu, Cristian. Transilvania University; Rumania
Fil: Rodriguez Violante, Mayela. Instituto Nacional de Neurología y Neurocirugía; México
Fil: Rizos, Alexandra. King's College London; Reino Unido. King's College Hospital; Reino Unido
Fil: Tsuboi, Y.. Fukuoka University; Japón
Fil: Metta, Vinod. King's College Hospital; Reino Unido
Fil: Bhidayasiri, Roongroj. Chulalongkorn University Hospital; Tailandia
Fil: Bhattacharya, Kalyan. Formerly RG Kar Medical College and Institute of Neuroscience; India
Fil: Borgohain, Rupam. Nizam’s Institute of Medical Sciences; India
Fil: Prashanth, L.K.. Vikram Hospitals; India. Parkinson's Disease And Movement Disorders Clinic; India
Fil: Rosales, Raymond. University Of Santo Tomas Hospital; Filipinas
Fil: Lewis, Simon. The University Of Sydney; Australia
Fil: Fung, Victor. Westmead Hospital; Australia. The University Of Sydney; Australia
Fil: Behari, Madhuri. All India Institute Of Medical Sciences; India
Fil: Goyal, Vinay. All India Institute Of Medical Sciences; India
Fil: Kishore, Asha. Sree Chitra Tirunal Institute For Medical Sciences And Technology; India
Fil: Perez Lloret, Santiago. Universidad Abierta Interamericana. Secretaría de Investigación. Centro de Altos Estudios En Ciencias Humanas y de la Salud - Sede Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Martinez Martin, Pablo. Instituto de Salud Carlos III; España
Fil: Chaudhuri, K. Ray. King's College Hospital; Reino Unido. King's College London; Reino Unido
Materia: PARKINSON
NON-MOTOR SYMPTOMS
QUALITY OF LIFE
PREVALENCE
Nivel de accesibilidad: acceso abierto
Condiciones de uso: https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
Institución: Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador: oai:ri.conicet.gov.ar:11336/158718

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repository_id_str	3498
network_name_str	CONICET Digital (CONICET)
spelling	Cross-sectional analysis of the Parkinson's disease Non-motor International Longitudinal Study baseline non-motor characteristics, geographical distribution and impact on quality of lifeVan Wamelen, Daniel J.Sauerbier, AnnaLeta, ValentinaRodriguez Blazquez, CarmenFalup Pecurariu, CristianRodriguez Violante, MayelaRizos, AlexandraTsuboi, Y.Metta, VinodBhidayasiri, RoongrojBhattacharya, KalyanBorgohain, RupamPrashanth, L.K.Rosales, RaymondLewis, SimonFung, VictorBehari, MadhuriGoyal, VinayKishore, AshaPerez Lloret, SantiagoMartinez Martin, PabloChaudhuri, K. RayPARKINSONNON-MOTOR SYMPTOMSQUALITY OF LIFEPREVALENCEhttps://purl.org/becyt/ford/3.2https://purl.org/becyt/ford/3Growing 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 BajosFil: Sauerbier, Anna. King's College London; Reino Unido. University of Cologne; AlemaniaFil: Leta, Valentina. King's College London; Reino Unido. King's College Hospital; Reino UnidoFil: Rodriguez Blazquez, Carmen. Instituto de Salud Carlos III; EspañaFil: Falup Pecurariu, Cristian. Transilvania University; RumaniaFil: Rodriguez Violante, Mayela. Instituto Nacional de Neurología y Neurocirugía; MéxicoFil: Rizos, Alexandra. King's College London; Reino Unido. King's College Hospital; Reino UnidoFil: Tsuboi, Y.. Fukuoka University; JapónFil: Metta, Vinod. King's College Hospital; Reino UnidoFil: Bhidayasiri, Roongroj. Chulalongkorn University Hospital; TailandiaFil: Bhattacharya, Kalyan. Formerly RG Kar Medical College and Institute of Neuroscience; IndiaFil: Borgohain, Rupam. Nizam’s Institute of Medical Sciences; IndiaFil: Prashanth, L.K.. Vikram Hospitals; India. Parkinson's Disease And Movement Disorders Clinic; IndiaFil: Rosales, Raymond. University Of Santo Tomas Hospital; FilipinasFil: Lewis, Simon. The University Of Sydney; AustraliaFil: Fung, Victor. Westmead Hospital; Australia. The University Of Sydney; AustraliaFil: Behari, Madhuri. All India Institute Of Medical Sciences; IndiaFil: Goyal, Vinay. All India Institute Of Medical Sciences; IndiaFil: Kishore, Asha. Sree Chitra Tirunal Institute For Medical Sciences And Technology; IndiaFil: Perez Lloret, Santiago. Universidad Abierta Interamericana. Secretaría de Investigación. Centro de Altos Estudios En Ciencias Humanas y de la Salud - Sede Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Martinez Martin, Pablo. Instituto de Salud Carlos III; EspañaFil: Chaudhuri, K. Ray. King's College Hospital; Reino Unido. King's College London; Reino UnidoNature Publishing Group2021-05-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/158718Van Wamelen, Daniel J.; Sauerbier, Anna; Leta, Valentina; Rodriguez Blazquez, Carmen; Falup Pecurariu, Cristian; 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; Nature Publishing Group; Scientific Reports; 11; 1; 5-5-2021; 1-122045-23222045-2322CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-021-88651-4info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-021-88651-4info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-05T09:34:32Zoai:ri.conicet.gov.ar:11336/158718instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-05 09:34:33.064CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv	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
spellingShingle	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. PARKINSON NON-MOTOR SYMPTOMS QUALITY OF LIFE PREVALENCE
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_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_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
dc.creator.none.fl_str_mv	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 Perez Lloret, Santiago Martinez Martin, Pablo Chaudhuri, K. Ray
author	Van Wamelen, Daniel J.
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 Perez Lloret, Santiago Martinez Martin, Pablo Chaudhuri, K. Ray
author_role	author
author2	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 Perez Lloret, Santiago Martinez Martin, Pablo Chaudhuri, K. Ray
author2_role	author author author author author author author author author author author author author author author author author author author author author
dc.subject.none.fl_str_mv	PARKINSON NON-MOTOR SYMPTOMS QUALITY OF LIFE PREVALENCE
topic	PARKINSON NON-MOTOR SYMPTOMS QUALITY OF LIFE PREVALENCE
purl_subject.fl_str_mv	https://purl.org/becyt/ford/3.2 https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv	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 Fil: Leta, Valentina. King's College London; Reino Unido. King's College Hospital; Reino Unido Fil: Rodriguez Blazquez, Carmen. Instituto de Salud Carlos III; España Fil: Falup Pecurariu, Cristian. Transilvania University; Rumania Fil: Rodriguez Violante, Mayela. Instituto Nacional de Neurología y Neurocirugía; México Fil: Rizos, Alexandra. King's College London; Reino Unido. King's College Hospital; Reino Unido Fil: Tsuboi, Y.. Fukuoka University; Japón Fil: Metta, Vinod. King's College Hospital; Reino Unido Fil: Bhidayasiri, Roongroj. Chulalongkorn University Hospital; Tailandia Fil: Bhattacharya, Kalyan. Formerly RG Kar Medical College and Institute of Neuroscience; India Fil: Borgohain, Rupam. Nizam’s Institute of Medical Sciences; India Fil: Prashanth, L.K.. Vikram Hospitals; India. Parkinson's Disease And Movement Disorders Clinic; India Fil: Rosales, Raymond. University Of Santo Tomas Hospital; Filipinas Fil: Lewis, Simon. The University Of Sydney; Australia Fil: Fung, Victor. Westmead Hospital; Australia. The University Of Sydney; Australia Fil: Behari, Madhuri. All India Institute Of Medical Sciences; India Fil: Goyal, Vinay. All India Institute Of Medical Sciences; India Fil: Kishore, Asha. Sree Chitra Tirunal Institute For Medical Sciences And Technology; India Fil: Perez Lloret, Santiago. Universidad Abierta Interamericana. Secretaría de Investigación. Centro de Altos Estudios En Ciencias Humanas y de la Salud - Sede Buenos Aires; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Martinez Martin, Pablo. Instituto de Salud Carlos III; España Fil: Chaudhuri, K. Ray. King's College Hospital; Reino Unido. King's College London; Reino Unido
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.
publishDate	2021
dc.date.none.fl_str_mv	2021-05-05
dc.type.none.fl_str_mv	info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo
format	article
status_str	publishedVersion
dc.identifier.none.fl_str_mv	http://hdl.handle.net/11336/158718 Van Wamelen, Daniel J.; Sauerbier, Anna; Leta, Valentina; Rodriguez Blazquez, Carmen; Falup Pecurariu, Cristian; 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; Nature Publishing Group; Scientific Reports; 11; 1; 5-5-2021; 1-12 2045-2322 2045-2322 CONICET Digital CONICET
url	http://hdl.handle.net/11336/158718
identifier_str_mv	Van Wamelen, Daniel J.; Sauerbier, Anna; Leta, Valentina; Rodriguez Blazquez, Carmen; Falup Pecurariu, Cristian; 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; Nature Publishing Group; Scientific Reports; 11; 1; 5-5-2021; 1-12 2045-2322 CONICET Digital CONICET
dc.language.none.fl_str_mv	eng
language	eng
dc.relation.none.fl_str_mv	info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-021-88651-4 info:eu-repo/semantics/altIdentifier/url/https://www.nature.com/articles/s41598-021-88651-4
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dc.publisher.none.fl_str_mv	Nature Publishing Group
publisher.none.fl_str_mv	Nature Publishing Group
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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 o...

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