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dc.contributor.authorvan Wamelen, Daniel J
dc.contributor.authorSauerbier, Anna
dc.contributor.authorLeta, Valentina
dc.contributor.authorRodriguez-Blazquez, Carmen 
dc.contributor.authorFalup-Pecurariu, Cristian
dc.contributor.authorRodriguez-Violante, Mayela
dc.contributor.authorRizos, Alexandra
dc.contributor.authorTsuboi, Y
dc.contributor.authorMetta, Vinod
dc.contributor.authorBhidayasiri, Roongroj
dc.contributor.authorBhattacharya, Kalyan
dc.contributor.authorBorgohain, Rupam
dc.contributor.authorPrashanth, L K
dc.contributor.authorRosales, Raymond
dc.contributor.authorLewis, Simon
dc.contributor.authorFung, Victor
dc.contributor.authorBehari, Madhuri
dc.contributor.authorGoyal, Vinay
dc.contributor.authorKishore, Asha
dc.contributor.authorLloret, Santiago Perez
dc.contributor.authorMartínez-Martín, Pablo 
dc.contributor.authorChaudhuri, K Ray
dc.date.accessioned2022-07-20T08:21:31Z
dc.date.available2022-07-20T08:21:31Z
dc.date.issued2021-05-05
dc.identifier.citationSci Rep. 2021 May 5;11(1):9611.es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/14733
dc.description.abstractGrowing 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.es_ES
dc.description.sponsorshipThis article presents independent research funded by the 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. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Healthes_ES
dc.language.isoenges_ES
dc.publisherNature Publishing Group es_ES
dc.type.hasVersionVoRes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.meshQuality of Life es_ES
dc.subject.meshAged es_ES
dc.subject.meshApathy es_ES
dc.subject.meshCross-Sectional Studies es_ES
dc.subject.meshFatigue es_ES
dc.subject.meshFemale es_ES
dc.subject.meshHumans es_ES
dc.subject.meshLongitudinal Studies es_ES
dc.subject.meshMale es_ES
dc.subject.meshMiddle Aged es_ES
dc.subject.meshParkinson Disease es_ES
dc.subject.meshSeverity of Illness Index es_ES
dc.subject.meshSleep es_ES
dc.subject.meshSurveys and Questionnaires es_ES
dc.titleCross-sectional analysis of the Parkinson's disease Non-motor International Longitudinal Study baseline non-motor characteristics, geographical distribution and impact on quality of lifees_ES
dc.typejournal articlees_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.identifier.pubmedID33953218es_ES
dc.format.volume11es_ES
dc.format.number1es_ES
dc.format.page9611es_ES
dc.identifier.doi10.1038/s41598-021-88651-4es_ES
dc.contributor.funderNIHR - Mental Health Biomedical Research Centre (Reino Unido) es_ES
dc.contributor.funderImperial College London (Reino Unido) es_ES
dc.contributor.funderSouth London and Maudsley NHS Foundation Trust (Reino Unido) es_ES
dc.description.peerreviewedes_ES
dc.identifier.e-issn2045-2322es_ES
dc.relation.publisherversionhttps://doi.org/10.1038/s41598-021-88651-4es_ES
dc.identifier.journalScientific Reportses_ES
dc.repisalud.centroISCIII::Centro Nacional de Epidemiologíaes_ES
dc.repisalud.institucionISCIIIes_ES
dc.rights.accessRightsopen accesses_ES


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